research on importance of homework

Does Homework Really Help Students Learn?

A conversation with a Wheelock researcher, a BU student, and a fourth-grade teacher

“Quality homework is engaging and relevant to kids’ lives,” says Wheelock’s Janine Bempechat. “It gives them autonomy and engages them in the community and with their families. In some subjects, like math, worksheets can be very helpful. It has to do with the value of practicing over and over.” Photo by iStock/Glenn Cook Photography

Do your homework.

If only it were that simple.

Educators have debated the merits of homework since the late 19th century. In recent years, amid concerns of some parents and teachers that children are being stressed out by too much homework, things have only gotten more fraught.

“Homework is complicated,” says developmental psychologist Janine Bempechat, a Wheelock College of Education & Human Development clinical professor. The author of the essay “ The Case for (Quality) Homework—Why It Improves Learning and How Parents Can Help ” in the winter 2019 issue of Education Next , Bempechat has studied how the debate about homework is influencing teacher preparation, parent and student beliefs about learning, and school policies.

She worries especially about socioeconomically disadvantaged students from low-performing schools who, according to research by Bempechat and others, get little or no homework.

BU Today  sat down with Bempechat and Erin Bruce (Wheelock’17,’18), a new fourth-grade teacher at a suburban Boston school, and future teacher freshman Emma Ardizzone (Wheelock) to talk about what quality homework looks like, how it can help children learn, and how schools can equip teachers to design it, evaluate it, and facilitate parents’ role in it.

BU Today: Parents and educators who are against homework in elementary school say there is no research definitively linking it to academic performance for kids in the early grades. You’ve said that they’re missing the point.

Bempechat : I think teachers assign homework in elementary school as a way to help kids develop skills they’ll need when they’re older—to begin to instill a sense of responsibility and to learn planning and organizational skills. That’s what I think is the greatest value of homework—in cultivating beliefs about learning and skills associated with academic success. If we greatly reduce or eliminate homework in elementary school, we deprive kids and parents of opportunities to instill these important learning habits and skills.

We do know that beginning in late middle school, and continuing through high school, there is a strong and positive correlation between homework completion and academic success.

That’s what I think is the greatest value of homework—in cultivating beliefs about learning and skills associated with academic success.

You talk about the importance of quality homework. What is that?

Quality homework is engaging and relevant to kids’ lives. It gives them autonomy and engages them in the community and with their families. In some subjects, like math, worksheets can be very helpful. It has to do with the value of practicing over and over.

What are your concerns about homework and low-income children?

The argument that some people make—that homework “punishes the poor” because lower-income parents may not be as well-equipped as affluent parents to help their children with homework—is very troubling to me. There are no parents who don’t care about their children’s learning. Parents don’t actually have to help with homework completion in order for kids to do well. They can help in other ways—by helping children organize a study space, providing snacks, being there as a support, helping children work in groups with siblings or friends.

Isn’t the discussion about getting rid of homework happening mostly in affluent communities?

Yes, and the stories we hear of kids being stressed out from too much homework—four or five hours of homework a night—are real. That’s problematic for physical and mental health and overall well-being. But the research shows that higher-income students get a lot more homework than lower-income kids.

Teachers may not have as high expectations for lower-income children. Schools should bear responsibility for providing supports for kids to be able to get their homework done—after-school clubs, community support, peer group support. It does kids a disservice when our expectations are lower for them.

The conversation around homework is to some extent a social class and social justice issue. If we eliminate homework for all children because affluent children have too much, we’re really doing a disservice to low-income children. They need the challenge, and every student can rise to the challenge with enough supports in place.

What did you learn by studying how education schools are preparing future teachers to handle homework?

My colleague, Margarita Jimenez-Silva, at the University of California, Davis, School of Education, and I interviewed faculty members at education schools, as well as supervising teachers, to find out how students are being prepared. And it seemed that they weren’t. There didn’t seem to be any readings on the research, or conversations on what high-quality homework is and how to design it.

Erin, what kind of training did you get in handling homework?

Bruce : I had phenomenal professors at Wheelock, but homework just didn’t come up. I did lots of student teaching. I’ve been in classrooms where the teachers didn’t assign any homework, and I’ve been in rooms where they assigned hours of homework a night. But I never even considered homework as something that was my decision. I just thought it was something I’d pull out of a book and it’d be done.

I started giving homework on the first night of school this year. My first assignment was to go home and draw a picture of the room where you do your homework. I want to know if it’s at a table and if there are chairs around it and if mom’s cooking dinner while you’re doing homework.

The second night I asked them to talk to a grown-up about how are you going to be able to get your homework done during the week. The kids really enjoyed it. There’s a running joke that I’m teaching life skills.

Friday nights, I read all my kids’ responses to me on their homework from the week and it’s wonderful. They pour their hearts out. It’s like we’re having a conversation on my couch Friday night.

It matters to know that the teacher cares about you and that what you think matters to the teacher. Homework is a vehicle to connect home and school…for parents to know teachers are welcoming to them and their families.

Bempechat : I can’t imagine that most new teachers would have the intuition Erin had in designing homework the way she did.

Ardizzone : Conversations with kids about homework, feeling you’re being listened to—that’s such a big part of wanting to do homework….I grew up in Westchester County. It was a pretty demanding school district. My junior year English teacher—I loved her—she would give us feedback, have meetings with all of us. She’d say, “If you have any questions, if you have anything you want to talk about, you can talk to me, here are my office hours.” It felt like she actually cared.

Bempechat : It matters to know that the teacher cares about you and that what you think matters to the teacher. Homework is a vehicle to connect home and school…for parents to know teachers are welcoming to them and their families.

Ardizzone : But can’t it lead to parents being overbearing and too involved in their children’s lives as students?

Bempechat : There’s good help and there’s bad help. The bad help is what you’re describing—when parents hover inappropriately, when they micromanage, when they see their children confused and struggling and tell them what to do.

Good help is when parents recognize there’s a struggle going on and instead ask informative questions: “Where do you think you went wrong?” They give hints, or pointers, rather than saying, “You missed this,” or “You didn’t read that.”

Bruce : I hope something comes of this. I hope BU or Wheelock can think of some way to make this a more pressing issue. As a first-year teacher, it was not something I even thought about on the first day of school—until a kid raised his hand and said, “Do we have homework?” It would have been wonderful if I’d had a plan from day one.

Explore Related Topics:

• Share this story

Senior Contributing Editor

Sara Rimer A journalist for more than three decades, Sara Rimer worked at the Miami Herald , Washington Post and, for 26 years, the New York Times , where she was the New England bureau chief, and a national reporter covering education, aging, immigration, and other social justice issues. Her stories on the death penalty’s inequities were nominated for a Pulitzer Prize and cited in the U.S. Supreme Court’s decision outlawing the execution of people with intellectual disabilities. Her journalism honors include Columbia University’s Meyer Berger award for in-depth human interest reporting. She holds a BA degree in American Studies from the University of Michigan. Profile

She can be reached at [email protected] .

Comments & Discussion

Boston University moderates comments to facilitate an informed, substantive, civil conversation. Abusive, profane, self-promotional, misleading, incoherent or off-topic comments will be rejected. Moderators are staffed during regular business hours (EST) and can only accept comments written in English. Statistics or facts must include a citation or a link to the citation.

There are 81 comments on Does Homework Really Help Students Learn?

Insightful! The values about homework in elementary schools are well aligned with my intuition as a parent.

when i finish my work i do my homework and i sometimes forget what to do because i did not get enough sleep

same omg it does not help me it is stressful and if I have it in more than one class I hate it.

Same I think my parent wants to help me but, she doesn’t care if I get bad grades so I just try my best and my grades are great.

I think that last question about Good help from parents is not know to all parents, we do as our parents did or how we best think it can be done, so maybe coaching parents or giving them resources on how to help with homework would be very beneficial for the parent on how to help and for the teacher to have consistency and improve homework results, and of course for the child. I do see how homework helps reaffirm the knowledge obtained in the classroom, I also have the ability to see progress and it is a time I share with my kids

The answer to the headline question is a no-brainer – a more pressing problem is why there is a difference in how students from different cultures succeed. Perfect example is the student population at BU – why is there a majority population of Asian students and only about 3% black students at BU? In fact at some universities there are law suits by Asians to stop discrimination and quotas against admitting Asian students because the real truth is that as a group they are demonstrating better qualifications for admittance, while at the same time there are quotas and reduced requirements for black students to boost their portion of the student population because as a group they do more poorly in meeting admissions standards – and it is not about the Benjamins. The real problem is that in our PC society no one has the gazuntas to explore this issue as it may reveal that all people are not created equal after all. Or is it just environmental cultural differences??????

I get you have a concern about the issue but that is not even what the point of this article is about. If you have an issue please take this to the site we have and only post your opinion about the actual topic

This is not at all what the article is talking about.

This literally has nothing to do with the article brought up. You should really take your opinions somewhere else before you speak about something that doesn’t make sense.

we have the same name

so they have the same name what of it?

lol you tell her

totally agree

What does that have to do with homework, that is not what the article talks about AT ALL.

Yes, I think homework plays an important role in the development of student life. Through homework, students have to face challenges on a daily basis and they try to solve them quickly.I am an intense online tutor at 24x7homeworkhelp and I give homework to my students at that level in which they handle it easily.

More than two-thirds of students said they used alcohol and drugs, primarily marijuana, to cope with stress.

You know what’s funny? I got this assignment to write an argument for homework about homework and this article was really helpful and understandable, and I also agree with this article’s point of view.

I also got the same task as you! I was looking for some good resources and I found this! I really found this article useful and easy to understand, just like you! ^^

i think that homework is the best thing that a child can have on the school because it help them with their thinking and memory.

I am a child myself and i think homework is a terrific pass time because i can’t play video games during the week. It also helps me set goals.

Homework is not harmful ,but it will if there is too much

I feel like, from a minors point of view that we shouldn’t get homework. Not only is the homework stressful, but it takes us away from relaxing and being social. For example, me and my friends was supposed to hang at the mall last week but we had to postpone it since we all had some sort of work to do. Our minds shouldn’t be focused on finishing an assignment that in realty, doesn’t matter. I completely understand that we should have homework. I have to write a paper on the unimportance of homework so thanks.

homework isn’t that bad

Are you a student? if not then i don’t really think you know how much and how severe todays homework really is

i am a student and i do not enjoy homework because i practice my sport 4 out of the five days we have school for 4 hours and that’s not even counting the commute time or the fact i still have to shower and eat dinner when i get home. its draining!

i totally agree with you. these people are such boomers

why just why

they do make a really good point, i think that there should be a limit though. hours and hours of homework can be really stressful, and the extra work isn’t making a difference to our learning, but i do believe homework should be optional and extra credit. that would make it for students to not have the leaning stress of a assignment and if you have a low grade you you can catch up.

Studies show that homework improves student achievement in terms of improved grades, test results, and the likelihood to attend college. Research published in the High School Journal indicates that students who spent between 31 and 90 minutes each day on homework “scored about 40 points higher on the SAT-Mathematics subtest than their peers, who reported spending no time on homework each day, on average.” On both standardized tests and grades, students in classes that were assigned homework outperformed 69% of students who didn’t have homework. A majority of studies on homework’s impact – 64% in one meta-study and 72% in another – showed that take home assignments were effective at improving academic achievement. Research by the Institute for the Study of Labor (IZA) concluded that increased homework led to better GPAs and higher probability of college attendance for high school boys. In fact, boys who attended college did more than three hours of additional homework per week in high school.

So how are your measuring student achievement? That’s the real question. The argument that doing homework is simply a tool for teaching responsibility isn’t enough for me. We can teach responsibility in a number of ways. Also the poor argument that parents don’t need to help with homework, and that students can do it on their own, is wishful thinking at best. It completely ignores neurodiverse students. Students in poverty aren’t magically going to find a space to do homework, a friend’s or siblings to help them do it, and snacks to eat. I feel like the author of this piece has never set foot in a classroom of students.

THIS. This article is pathetic coming from a university. So intellectually dishonest, refusing to address the havoc of capitalism and poverty plays on academic success in life. How can they in one sentence use poor kids in an argument and never once address that poor children have access to damn near 0 of the resources affluent kids have? Draw me a picture and let’s talk about feelings lmao what a joke is that gonna put food in their belly so they can have the calories to burn in order to use their brain to study? What about quiet their 7 other siblings that they share a single bedroom with for hours? Is it gonna force the single mom to magically be at home and at work at the same time to cook food while you study and be there to throw an encouraging word?

Also the “parents don’t need to be a parent and be able to guide their kid at all academically they just need to exist in the next room” is wild. Its one thing if a parent straight up is not equipped but to say kids can just figured it out is…. wow coming from an educator What’s next the teacher doesn’t need to teach cause the kid can just follow the packet and figure it out?

Well then get a tutor right? Oh wait you are poor only affluent kids can afford a tutor for their hours of homework a day were they on average have none of the worries a poor child does. Does this address that poor children are more likely to also suffer abuse and mental illness? Like mentioned what about kids that can’t learn or comprehend the forced standardized way? Just let em fail? These children regularly are not in “special education”(some of those are a joke in their own and full of neglect and abuse) programs cause most aren’t even acknowledged as having disabilities or disorders.

But yes all and all those pesky poor kids just aren’t being worked hard enough lol pretty sure poor children’s existence just in childhood is more work, stress, and responsibility alone than an affluent child’s entire life cycle. Love they never once talked about the quality of education in the classroom being so bad between the poor and affluent it can qualify as segregation, just basically blamed poor people for being lazy, good job capitalism for failing us once again!

why the hell?

you should feel bad for saying this, this article can be helpful for people who has to write a essay about it

This is more of a political rant than it is about homework

I know a teacher who has told his students their homework is to find something they are interested in, pursue it and then come share what they learn. The student responses are quite compelling. One girl taught herself German so she could talk to her grandfather. One boy did a research project on Nelson Mandela because the teacher had mentioned him in class. Another boy, a both on the autism spectrum, fixed his family’s computer. The list goes on. This is fourth grade. I think students are highly motivated to learn, when we step aside and encourage them.

The whole point of homework is to give the students a chance to use the material that they have been presented with in class. If they never have the opportunity to use that information, and discover that it is actually useful, it will be in one ear and out the other. As a science teacher, it is critical that the students are challenged to use the material they have been presented with, which gives them the opportunity to actually think about it rather than regurgitate “facts”. Well designed homework forces the student to think conceptually, as opposed to regurgitation, which is never a pretty sight

Wonderful discussion. and yes, homework helps in learning and building skills in students.

not true it just causes kids to stress

Homework can be both beneficial and unuseful, if you will. There are students who are gifted in all subjects in school and ones with disabilities. Why should the students who are gifted get the lucky break, whereas the people who have disabilities suffer? The people who were born with this “gift” go through school with ease whereas people with disabilities struggle with the work given to them. I speak from experience because I am one of those students: the ones with disabilities. Homework doesn’t benefit “us”, it only tears us down and put us in an abyss of confusion and stress and hopelessness because we can’t learn as fast as others. Or we can’t handle the amount of work given whereas the gifted students go through it with ease. It just brings us down and makes us feel lost; because no mater what, it feels like we are destined to fail. It feels like we weren’t “cut out” for success.

homework does help

here is the thing though, if a child is shoved in the face with a whole ton of homework that isn’t really even considered homework it is assignments, it’s not helpful. the teacher should make homework more of a fun learning experience rather than something that is dreaded

This article was wonderful, I am going to ask my teachers about extra, or at all giving homework.

I agree. Especially when you have homework before an exam. Which is distasteful as you’ll need that time to study. It doesn’t make any sense, nor does us doing homework really matters as It’s just facts thrown at us.

Homework is too severe and is just too much for students, schools need to decrease the amount of homework. When teachers assign homework they forget that the students have other classes that give them the same amount of homework each day. Students need to work on social skills and life skills.

I disagree.

Beyond achievement, proponents of homework argue that it can have many other beneficial effects. They claim it can help students develop good study habits so they are ready to grow as their cognitive capacities mature. It can help students recognize that learning can occur at home as well as at school. Homework can foster independent learning and responsible character traits. And it can give parents an opportunity to see what’s going on at school and let them express positive attitudes toward achievement.

Homework is helpful because homework helps us by teaching us how to learn a specific topic.

As a student myself, I can say that I have almost never gotten the full 9 hours of recommended sleep time, because of homework. (Now I’m writing an essay on it in the middle of the night D=)

I am a 10 year old kid doing a report about “Is homework good or bad” for homework before i was going to do homework is bad but the sources from this site changed my mind!

Homeowkr is god for stusenrs

I agree with hunter because homework can be so stressful especially with this whole covid thing no one has time for homework and every one just wants to get back to there normal lives it is especially stressful when you go on a 2 week vaca 3 weeks into the new school year and and then less then a week after you come back from the vaca you are out for over a month because of covid and you have no way to get the assignment done and turned in

As great as homework is said to be in the is article, I feel like the viewpoint of the students was left out. Every where I go on the internet researching about this topic it almost always has interviews from teachers, professors, and the like. However isn’t that a little biased? Of course teachers are going to be for homework, they’re not the ones that have to stay up past midnight completing the homework from not just one class, but all of them. I just feel like this site is one-sided and you should include what the students of today think of spending four hours every night completing 6-8 classes worth of work.

Are we talking about homework or practice? Those are two very different things and can result in different outcomes.

Homework is a graded assignment. I do not know of research showing the benefits of graded assignments going home.

Practice; however, can be extremely beneficial, especially if there is some sort of feedback (not a grade but feedback). That feedback can come from the teacher, another student or even an automated grading program.

As a former band director, I assigned daily practice. I never once thought it would be appropriate for me to require the students to turn in a recording of their practice for me to grade. Instead, I had in-class assignments/assessments that were graded and directly related to the practice assigned.

I would really like to read articles on “homework” that truly distinguish between the two.

oof i feel bad good luck!

thank you guys for the artical because I have to finish an assingment. yes i did cite it but just thanks

thx for the article guys.

Homework is good

I think homework is helpful AND harmful. Sometimes u can’t get sleep bc of homework but it helps u practice for school too so idk.

I agree with this Article. And does anyone know when this was published. I would like to know.

It was published FEb 19, 2019.

Studies have shown that homework improved student achievement in terms of improved grades, test results, and the likelihood to attend college.

i think homework can help kids but at the same time not help kids

This article is so out of touch with majority of homes it would be laughable if it wasn’t so incredibly sad.

There is no value to homework all it does is add stress to already stressed homes. Parents or adults magically having the time or energy to shepherd kids through homework is dome sort of 1950’s fantasy.

What lala land do these teachers live in?

Homework gives noting to the kid

Homework is Bad

homework is bad.

why do kids even have homework?

Comments are closed.

Latest from Bostonia

Six bu alums to remember this memorial day, american academy of arts & sciences welcomes five bu members, com’s newest journalism grad took her time, could boston be the next city to impose congestion pricing, alum has traveled the world to witness total solar eclipses, opening doors: rhonda harrison (eng’98,’04, grs’04), campus reacts and responds to israel-hamas war, reading list: what the pandemic revealed, remembering com’s david anable, cas’ john stone, “intellectual brilliance and brilliant kindness”, one good deed: christine kannler (cas’96, sph’00, camed’00), william fairfield warren society inducts new members, spreading art appreciation, restoring the “black angels” to medical history, in the kitchen with jacques pépin, feedback: readers weigh in on bu’s new president, com’s new expert on misinformation, and what’s really dividing the nation, the gifts of great teaching, sth’s walter fluker honored by roosevelt institute, alum’s debut book is a ramadan story for children, my big idea: covering construction sites with art.

The Value of Homework

Are teachers assigning too much homework.

Posted September 5, 2016 | Reviewed by Ekua Hagan

• Studies show that the benefits of homework peak at about one hour to 90 minutes, and then after that, test scores begin to decline.
• Research has found that high school teachers (grades 9-12) report assigning an average of 3.5 hours’ worth of homework a week.
• While homework is necessary, there needs to be balance as well as communication between teachers about the amount of homework being assigned.

The value of homework has been the subject of debate over the years. In regards to research, the jury is still out as to whether homework positively impacts a student's academic achievement.

In the past, I have written a couple of posts on homework and whether or not it is being used or abused by educators. I am always amazed at what some of my young readers share about sleepless nights, not participating in extracurricular events, and high levels of stress —all of which are attributed to large and daunting amounts of homework .

There have been studies that show that doing homework in moderation improves test performance. So we can’t rule out the value of homework if it’s conducive to learning. However, studies have also shown that the benefits of homework peak at about one hour to 90 minutes, and then after that, test scores begin to decline.

Now, while looking at data, it’s important to review the standard, endorsed by the National Education Association and the National Parent-Teacher Association , known as the "10-minute rule" — 10 minutes of homework per grade level per night. That would mean there would only be 10 minutes of homework in the first grade, and end with 120 minutes for senior year of high school (double what research shows beneficial). This leads to an important question: On average, how much homework do teachers assign?

Typical homework amounts

A Harris Poll from the University of Phoenix surveyed teachers about the hours of homework required of students and why they assign it. Pollsters received responses from approximately 1,000 teachers in public, private, and parochial schools across the United States.

High school teachers (grades 9-12) reported assigning an average of 3.5 hours’ worth of homework a week. Middle school teachers (grades 6-8) reported assigning almost the same amount as high school teachers, 3.2 hours of homework a week. Lastly, K-5 teachers said they assigned an average of 2.9 hours of homework each week. This data shows a spike in homework beginning in middle school.

Why homework is assigned

When teachers were asked why they assign homework, they gave the top three reasons:

• to see how well students understand lessons
• to help students develop essential problem-solving skills
• to show parents what's being learned in school

Approximately, 30 percent of teachers reported they assigned homework to cover more content areas. What’s interesting about this poll was the longer an educator had been in the field the less homework they assigned. Take a look at the breakdown below:

• 3.6 hours (teachers with less than 10 years in the classroom)
• 3.1 hours (teachers with 10 to 19 years in the classroom)
• 2.8 hours (teachers with more than 20 years in the classroom)

The need for balance

While many agree that homework does have a time and place, there needs to be a balance between life and school. There also needs to be communication with other teachers in the school about assignments. Oftentimes, educators get so involved in their subject area, they communicate departmentally, not school-wide. As a result, it’s not uncommon for teens to have a project and a couple of tests all on the same day. This dump of work can lead to an overwhelming amount of stress.

Questions for educators

Educators, how can you maximize the benefit of homework? Use the questions below to guide you in whether or not to assign work outside of the classroom. Ask yourself:

• Do I need to assign homework or can this be done in class?
• Does this assignment contribute and supplement the lesson reviewed in class?
• Do students have all of the information they need to do this assignment? In others words, are they prepared to do the homework?
• What are you wanting your students to achieve from this assignment? Do you have a specific objective and intended outcome in mind?
• How much time will the assignment take to complete? Have you given your students a sufficient amount of time?
• Have you taken into account other coursework that your students have due?
• How can you incorporate student choice and feedback into your classroom?
• How can you monitor whether or not you are overloading your students?

What kids think of homework

Educators: As a conclusion, I have provided a few of the many comments, that I have received below. I think it’s important to look at the age/grade level and messages these teens have shared. Take time to read their words and reflect on ways you can incorporate their perspective into course objectives and content. I believe the solution to the homework dilemma can be found in assigning work in moderation and finding a balance between school, home, and life.

“I am a 7th grader in a small school in Michigan. I think one of the main problems about what teachers think about homework is that they do not think about what other classes are assigned for homework. Throughout the day, I get at least two full pages of homework to complete by the next day. During the school year, I am hesitant to sign up for sports because I am staying up after a game or practice to finish my homework.”

“I'm 17 and I'm in my last year of high school. I can honestly tell you that from 7 p.m. to 12 a.m. (sometimes 1 or 2 a.m.) I am doing homework. I've been trying to balance my homework with my work schedule, work around my house, and my social life with no success. So if someone were to ask me if I think kids have too much homework, I would say yes they do. My comment is based solely on my personal experience in high school.”

“I am 13 and I have a problem: homework. I can’t get my homework done at home because it is all on my school MacBook. I don’t own my own personal computer, only an Amazon Fire tablet. What’s the problem with my tablet? There are no middle or high school apps for it. You are might be wondering, “Why not bring the MacBook home?” Well, I am not allowed to, so what is the punishment ? Four late assignments, and 1 late argument essay. And 90% of the homework I get is on my MacBook. This is a mega stresser!"

Raychelle Cassada Lohman n , M.S., LPC, is the author of The Anger Workbook for Teens .

• Find a Therapist
• Find a Treatment Center
• Find a Psychiatrist
• Find a Support Group
• Find Online Therapy
• United States
• Brooklyn, NY
• Chicago, IL
• Houston, TX
• Los Angeles, CA
• New York, NY
• Portland, OR
• San Diego, CA
• San Francisco, CA
• Seattle, WA
• Washington, DC
• Asperger's
• Bipolar Disorder
• Chronic Pain
• Eating Disorders
• Passive Aggression
• Personality
• Goal Setting
• Positive Psychology
• Stopping Smoking
• Low Sexual Desire
• Relationships
• Child Development
• Self Tests NEW
• Therapy Center
• Diagnosis Dictionary
• Types of Therapy

At any moment, someone’s aggravating behavior or our own bad luck can set us off on an emotional spiral that threatens to derail our entire day. Here’s how we can face our triggers with less reactivity so that we can get on with our lives.

• Emotional Intelligence
• Gaslighting
• Affective Forecasting
• Neuroscience

Is Homework Good for Kids? Here’s What the Research Says

A s kids return to school, debate is heating up once again over how they should spend their time after they leave the classroom for the day.

The no-homework policy of a second-grade teacher in Texas went viral last week , earning praise from parents across the country who lament the heavy workload often assigned to young students. Brandy Young told parents she would not formally assign any homework this year, asking students instead to eat dinner with their families, play outside and go to bed early.

But the question of how much work children should be doing outside of school remains controversial, and plenty of parents take issue with no-homework policies, worried their kids are losing a potential academic advantage. Here’s what you need to know:

For decades, the homework standard has been a “10-minute rule,” which recommends a daily maximum of 10 minutes of homework per grade level. Second graders, for example, should do about 20 minutes of homework each night. High school seniors should complete about two hours of homework each night. The National PTA and the National Education Association both support that guideline.

But some schools have begun to give their youngest students a break. A Massachusetts elementary school has announced a no-homework pilot program for the coming school year, lengthening the school day by two hours to provide more in-class instruction. “We really want kids to go home at 4 o’clock, tired. We want their brain to be tired,” Kelly Elementary School Principal Jackie Glasheen said in an interview with a local TV station . “We want them to enjoy their families. We want them to go to soccer practice or football practice, and we want them to go to bed. And that’s it.”

A New York City public elementary school implemented a similar policy last year, eliminating traditional homework assignments in favor of family time. The change was quickly met with outrage from some parents, though it earned support from other education leaders.

New solutions and approaches to homework differ by community, and these local debates are complicated by the fact that even education experts disagree about what’s best for kids.

The research

The most comprehensive research on homework to date comes from a 2006 meta-analysis by Duke University psychology professor Harris Cooper, who found evidence of a positive correlation between homework and student achievement, meaning students who did homework performed better in school. The correlation was stronger for older students—in seventh through 12th grade—than for those in younger grades, for whom there was a weak relationship between homework and performance.

Cooper’s analysis focused on how homework impacts academic achievement—test scores, for example. His report noted that homework is also thought to improve study habits, attitudes toward school, self-discipline, inquisitiveness and independent problem solving skills. On the other hand, some studies he examined showed that homework can cause physical and emotional fatigue, fuel negative attitudes about learning and limit leisure time for children. At the end of his analysis, Cooper recommended further study of such potential effects of homework.

Despite the weak correlation between homework and performance for young children, Cooper argues that a small amount of homework is useful for all students. Second-graders should not be doing two hours of homework each night, he said, but they also shouldn’t be doing no homework.

Not all education experts agree entirely with Cooper’s assessment.

Cathy Vatterott, an education professor at the University of Missouri-St. Louis, supports the “10-minute rule” as a maximum, but she thinks there is not sufficient proof that homework is helpful for students in elementary school.

“Correlation is not causation,” she said. “Does homework cause achievement, or do high achievers do more homework?”

Vatterott, the author of Rethinking Homework: Best Practices That Support Diverse Needs , thinks there should be more emphasis on improving the quality of homework tasks, and she supports efforts to eliminate homework for younger kids.

“I have no concerns about students not starting homework until fourth grade or fifth grade,” she said, noting that while the debate over homework will undoubtedly continue, she has noticed a trend toward limiting, if not eliminating, homework in elementary school.

The issue has been debated for decades. A TIME cover in 1999 read: “Too much homework! How it’s hurting our kids, and what parents should do about it.” The accompanying story noted that the launch of Sputnik in 1957 led to a push for better math and science education in the U.S. The ensuing pressure to be competitive on a global scale, plus the increasingly demanding college admissions process, fueled the practice of assigning homework.

“The complaints are cyclical, and we’re in the part of the cycle now where the concern is for too much,” Cooper said. “You can go back to the 1970s, when you’ll find there were concerns that there was too little, when we were concerned about our global competitiveness.”

Cooper acknowledged that some students really are bringing home too much homework, and their parents are right to be concerned.

“A good way to think about homework is the way you think about medications or dietary supplements,” he said. “If you take too little, they’ll have no effect. If you take too much, they can kill you. If you take the right amount, you’ll get better.”

More Must-Reads from TIME

• Javier Milei’s Radical Plan to Transform Argentina
• The New Face of Doctor Who
• How Private Donors Shape Birth-Control Choices
• What Happens if Trump Is Convicted ? Your Questions, Answered
• The Deadly Digital Frontiers at the Border
• Scientists Are Finding Out Just How Toxic Your Stuff Is
• The 31 Most Anticipated Movies of Summer 2024
• Want Weekly Recs on What to Watch, Read, and More? Sign Up for Worth Your Time

Write to Katie Reilly at [email protected]

Does homework really work?

by: Leslie Crawford | Updated: December 12, 2023

Print article

You know the drill. It’s 10:15 p.m., and the cardboard-and-toothpick Golden Gate Bridge is collapsing. The pages of polynomials have been abandoned. The paper on the Battle of Waterloo seems to have frozen in time with Napoleon lingering eternally over his breakfast at Le Caillou. Then come the tears and tantrums — while we parents wonder, Does the gain merit all this pain? Is this just too much homework?

However the drama unfolds night after night, year after year, most parents hold on to the hope that homework (after soccer games, dinner, flute practice, and, oh yes, that childhood pastime of yore known as playing) advances their children academically.

But what does homework really do for kids? Is the forest’s worth of book reports and math and spelling sheets the average American student completes in their 12 years of primary schooling making a difference? Or is it just busywork?

Homework haterz

Whether or not homework helps, or even hurts, depends on who you ask. If you ask my 12-year-old son, Sam, he’ll say, “Homework doesn’t help anything. It makes kids stressed-out and tired and makes them hate school more.”

Nothing more than common kid bellyaching?

Maybe, but in the fractious field of homework studies, it’s worth noting that Sam’s sentiments nicely synopsize one side of the ivory tower debate. Books like The End of Homework , The Homework Myth , and The Case Against Homework the film Race to Nowhere , and the anguished parent essay “ My Daughter’s Homework is Killing Me ” make the case that homework, by taking away precious family time and putting kids under unneeded pressure, is an ineffective way to help children become better learners and thinkers.

One Canadian couple took their homework apostasy all the way to the Supreme Court of Canada. After arguing that there was no evidence that it improved academic performance, they won a ruling that exempted their two children from all homework.

So what’s the real relationship between homework and academic achievement?

How much is too much?

To answer this question, researchers have been doing their homework on homework, conducting and examining hundreds of studies. Chris Drew Ph.D., founder and editor at The Helpful Professor recently compiled multiple statistics revealing the folly of today’s after-school busy work. Does any of the data he listed below ring true for you?

• 45 percent of parents think homework is too easy for their child, primarily because it is geared to the lowest standard under the Common Core State Standards .

• 74 percent of students say homework is a source of stress , defined as headaches, exhaustion, sleep deprivation, weight loss, and stomach problems.

• Students in high-performing high schools spend an average of 3.1 hours a night on homework , even though 1 to 2 hours is the optimal duration, according to a peer-reviewed study .

Not included in the list above is the fact many kids have to abandon activities they love — like sports and clubs — because homework deprives them of the needed time to enjoy themselves with other pursuits.

Conversely, The Helpful Professor does list a few pros of homework, noting it teaches discipline and time management, and helps parents know what’s being taught in the class.

The oft-bandied rule on homework quantity — 10 minutes a night per grade (starting from between 10 to 20 minutes in first grade) — is listed on the National Education Association’s website and the National Parent Teacher Association’s website , but few schools follow this rule.

Do you think your child is doing excessive homework? Harris Cooper Ph.D., author of a meta-study on homework , recommends talking with the teacher. “Often there is a miscommunication about the goals of homework assignments,” he says. “What appears to be problematic for kids, why they are doing an assignment, can be cleared up with a conversation.” Also, Cooper suggests taking a careful look at how your child is doing the assignments. It may seem like they’re taking two hours, but maybe your child is wandering off frequently to get a snack or getting distracted.

Less is often more

If your child is dutifully doing their work but still burning the midnight oil, it’s worth intervening to make sure your child gets enough sleep. A 2012 study of 535 high school students found that proper sleep may be far more essential to brain and body development.

For elementary school-age children, Cooper’s research at Duke University shows there is no measurable academic advantage to homework. For middle-schoolers, Cooper found there is a direct correlation between homework and achievement if assignments last between one to two hours per night. After two hours, however, achievement doesn’t improve. For high schoolers, Cooper’s research suggests that two hours per night is optimal. If teens have more than two hours of homework a night, their academic success flatlines. But less is not better. The average high school student doing homework outperformed 69 percent of the students in a class with no homework.

Many schools are starting to act on this research. A Florida superintendent abolished homework in her 42,000 student district, replacing it with 20 minutes of nightly reading. She attributed her decision to “ solid research about what works best in improving academic achievement in students .”

More family time

A 2020 survey by Crayola Experience reports 82 percent of children complain they don’t have enough quality time with their parents. Homework deserves much of the blame. “Kids should have a chance to just be kids and do things they enjoy, particularly after spending six hours a day in school,” says Alfie Kohn, author of The Homework Myth . “It’s absurd to insist that children must be engaged in constructive activities right up until their heads hit the pillow.”

By far, the best replacement for homework — for both parents and children — is bonding, relaxing time together.

Homes Nearby

Homes for rent and sale near schools

How families of color can fight for fair discipline in school

Dealing with teacher bias

The most important school data families of color need to consider

Yes! Sign me up for updates relevant to my child's grade.

Please enter a valid email address

Thank you for signing up!

Server Issue: Please try again later. Sorry for the inconvenience

The Cult of Homework

America’s devotion to the practice stems in part from the fact that it’s what today’s parents and teachers grew up with themselves.

America has long had a fickle relationship with homework. A century or so ago, progressive reformers argued that it made kids unduly stressed , which later led in some cases to district-level bans on it for all grades under seventh. This anti-homework sentiment faded, though, amid mid-century fears that the U.S. was falling behind the Soviet Union (which led to more homework), only to resurface in the 1960s and ’70s, when a more open culture came to see homework as stifling play and creativity (which led to less). But this didn’t last either: In the ’80s, government researchers blamed America’s schools for its economic troubles and recommended ramping homework up once more.

The 21st century has so far been a homework-heavy era, with American teenagers now averaging about twice as much time spent on homework each day as their predecessors did in the 1990s . Even little kids are asked to bring school home with them. A 2015 study , for instance, found that kindergarteners, who researchers tend to agree shouldn’t have any take-home work, were spending about 25 minutes a night on it.

But not without pushback. As many children, not to mention their parents and teachers, are drained by their daily workload, some schools and districts are rethinking how homework should work—and some teachers are doing away with it entirely. They’re reviewing the research on homework (which, it should be noted, is contested) and concluding that it’s time to revisit the subject.

Read: My daughter’s homework is killing me

Hillsborough, California, an affluent suburb of San Francisco, is one district that has changed its ways. The district, which includes three elementary schools and a middle school, worked with teachers and convened panels of parents in order to come up with a homework policy that would allow students more unscheduled time to spend with their families or to play. In August 2017, it rolled out an updated policy, which emphasized that homework should be “meaningful” and banned due dates that fell on the day after a weekend or a break.

“The first year was a bit bumpy,” says Louann Carlomagno, the district’s superintendent. She says the adjustment was at times hard for the teachers, some of whom had been doing their job in a similar fashion for a quarter of a century. Parents’ expectations were also an issue. Carlomagno says they took some time to “realize that it was okay not to have an hour of homework for a second grader—that was new.”

Most of the way through year two, though, the policy appears to be working more smoothly. “The students do seem to be less stressed based on conversations I’ve had with parents,” Carlomagno says. It also helps that the students performed just as well on the state standardized test last year as they have in the past.

Earlier this year, the district of Somerville, Massachusetts, also rewrote its homework policy, reducing the amount of homework its elementary and middle schoolers may receive. In grades six through eight, for example, homework is capped at an hour a night and can only be assigned two to three nights a week.

Jack Schneider, an education professor at the University of Massachusetts at Lowell whose daughter attends school in Somerville, is generally pleased with the new policy. But, he says, it’s part of a bigger, worrisome pattern. “The origin for this was general parental dissatisfaction, which not surprisingly was coming from a particular demographic,” Schneider says. “Middle-class white parents tend to be more vocal about concerns about homework … They feel entitled enough to voice their opinions.”

Schneider is all for revisiting taken-for-granted practices like homework, but thinks districts need to take care to be inclusive in that process. “I hear approximately zero middle-class white parents talking about how homework done best in grades K through two actually strengthens the connection between home and school for young people and their families,” he says. Because many of these parents already feel connected to their school community, this benefit of homework can seem redundant. “They don’t need it,” Schneider says, “so they’re not advocating for it.”

That doesn’t mean, necessarily, that homework is more vital in low-income districts. In fact, there are different, but just as compelling, reasons it can be burdensome in these communities as well. Allison Wienhold, who teaches high-school Spanish in the small town of Dunkerton, Iowa, has phased out homework assignments over the past three years. Her thinking: Some of her students, she says, have little time for homework because they’re working 30 hours a week or responsible for looking after younger siblings.

As educators reduce or eliminate the homework they assign, it’s worth asking what amount and what kind of homework is best for students. It turns out that there’s some disagreement about this among researchers, who tend to fall in one of two camps.

In the first camp is Harris Cooper, a professor of psychology and neuroscience at Duke University. Cooper conducted a review of the existing research on homework in the mid-2000s , and found that, up to a point, the amount of homework students reported doing correlates with their performance on in-class tests. This correlation, the review found, was stronger for older students than for younger ones.

This conclusion is generally accepted among educators, in part because it’s compatible with “the 10-minute rule,” a rule of thumb popular among teachers suggesting that the proper amount of homework is approximately 10 minutes per night, per grade level—that is, 10 minutes a night for first graders, 20 minutes a night for second graders, and so on, up to two hours a night for high schoolers.

In Cooper’s eyes, homework isn’t overly burdensome for the typical American kid. He points to a 2014 Brookings Institution report that found “little evidence that the homework load has increased for the average student”; onerous amounts of homework, it determined, are indeed out there, but relatively rare. Moreover, the report noted that most parents think their children get the right amount of homework, and that parents who are worried about under-assigning outnumber those who are worried about over-assigning. Cooper says that those latter worries tend to come from a small number of communities with “concerns about being competitive for the most selective colleges and universities.”

According to Alfie Kohn, squarely in camp two, most of the conclusions listed in the previous three paragraphs are questionable. Kohn, the author of The Homework Myth: Why Our Kids Get Too Much of a Bad Thing , considers homework to be a “reliable extinguisher of curiosity,” and has several complaints with the evidence that Cooper and others cite in favor of it. Kohn notes, among other things, that Cooper’s 2006 meta-analysis doesn’t establish causation, and that its central correlation is based on children’s (potentially unreliable) self-reporting of how much time they spend doing homework. (Kohn’s prolific writing on the subject alleges numerous other methodological faults.)

In fact, other correlations make a compelling case that homework doesn’t help. Some countries whose students regularly outperform American kids on standardized tests, such as Japan and Denmark, send their kids home with less schoolwork , while students from some countries with higher homework loads than the U.S., such as Thailand and Greece, fare worse on tests. (Of course, international comparisons can be fraught because so many factors, in education systems and in societies at large, might shape students’ success.)

Kohn also takes issue with the way achievement is commonly assessed. “If all you want is to cram kids’ heads with facts for tomorrow’s tests that they’re going to forget by next week, yeah, if you give them more time and make them do the cramming at night, that could raise the scores,” he says. “But if you’re interested in kids who know how to think or enjoy learning, then homework isn’t merely ineffective, but counterproductive.”

His concern is, in a way, a philosophical one. “The practice of homework assumes that only academic growth matters, to the point that having kids work on that most of the school day isn’t enough,” Kohn says. What about homework’s effect on quality time spent with family? On long-term information retention? On critical-thinking skills? On social development? On success later in life? On happiness? The research is quiet on these questions.

Another problem is that research tends to focus on homework’s quantity rather than its quality, because the former is much easier to measure than the latter. While experts generally agree that the substance of an assignment matters greatly (and that a lot of homework is uninspiring busywork), there isn’t a catchall rule for what’s best—the answer is often specific to a certain curriculum or even an individual student.

Given that homework’s benefits are so narrowly defined (and even then, contested), it’s a bit surprising that assigning so much of it is often a classroom default, and that more isn’t done to make the homework that is assigned more enriching. A number of things are preserving this state of affairs—things that have little to do with whether homework helps students learn.

Jack Schneider, the Massachusetts parent and professor, thinks it’s important to consider the generational inertia of the practice. “The vast majority of parents of public-school students themselves are graduates of the public education system,” he says. “Therefore, their views of what is legitimate have been shaped already by the system that they would ostensibly be critiquing.” In other words, many parents’ own history with homework might lead them to expect the same for their children, and anything less is often taken as an indicator that a school or a teacher isn’t rigorous enough. (This dovetails with—and complicates—the finding that most parents think their children have the right amount of homework.)

Barbara Stengel, an education professor at Vanderbilt University’s Peabody College, brought up two developments in the educational system that might be keeping homework rote and unexciting. The first is the importance placed in the past few decades on standardized testing, which looms over many public-school classroom decisions and frequently discourages teachers from trying out more creative homework assignments. “They could do it, but they’re afraid to do it, because they’re getting pressure every day about test scores,” Stengel says.

Second, she notes that the profession of teaching, with its relatively low wages and lack of autonomy, struggles to attract and support some of the people who might reimagine homework, as well as other aspects of education. “Part of why we get less interesting homework is because some of the people who would really have pushed the limits of that are no longer in teaching,” she says.

“In general, we have no imagination when it comes to homework,” Stengel says. She wishes teachers had the time and resources to remake homework into something that actually engages students. “If we had kids reading—anything, the sports page, anything that they’re able to read—that’s the best single thing. If we had kids going to the zoo, if we had kids going to parks after school, if we had them doing all of those things, their test scores would improve. But they’re not. They’re going home and doing homework that is not expanding what they think about.”

“Exploratory” is one word Mike Simpson used when describing the types of homework he’d like his students to undertake. Simpson is the head of the Stone Independent School, a tiny private high school in Lancaster, Pennsylvania, that opened in 2017. “We were lucky to start a school a year and a half ago,” Simpson says, “so it’s been easy to say we aren’t going to assign worksheets, we aren’t going assign regurgitative problem sets.” For instance, a half-dozen students recently built a 25-foot trebuchet on campus.

Simpson says he thinks it’s a shame that the things students have to do at home are often the least fulfilling parts of schooling: “When our students can’t make the connection between the work they’re doing at 11 o’clock at night on a Tuesday to the way they want their lives to be, I think we begin to lose the plot.”

When I talked with other teachers who did homework makeovers in their classrooms, I heard few regrets. Brandy Young, a second-grade teacher in Joshua, Texas, stopped assigning take-home packets of worksheets three years ago, and instead started asking her students to do 20 minutes of pleasure reading a night. She says she’s pleased with the results, but she’s noticed something funny. “Some kids,” she says, “really do like homework.” She’s started putting out a bucket of it for students to draw from voluntarily—whether because they want an additional challenge or something to pass the time at home.

Chris Bronke, a high-school English teacher in the Chicago suburb of Downers Grove, told me something similar. This school year, he eliminated homework for his class of freshmen, and now mostly lets students study on their own or in small groups during class time. It’s usually up to them what they work on each day, and Bronke has been impressed by how they’ve managed their time.

In fact, some of them willingly spend time on assignments at home, whether because they’re particularly engaged, because they prefer to do some deeper thinking outside school, or because they needed to spend time in class that day preparing for, say, a biology test the following period. “They’re making meaningful decisions about their time that I don’t think education really ever gives students the experience, nor the practice, of doing,” Bronke said.

The typical prescription offered by those overwhelmed with homework is to assign less of it—to subtract. But perhaps a more useful approach, for many classrooms, would be to create homework only when teachers and students believe it’s actually needed to further the learning that takes place in class—to start with nothing, and add as necessary.

Social Sciences

© 2024 Inquiries Journal/Student Pulse LLC . All rights reserved. ISSN: 2153-5760.

Disclaimer: content on this website is for informational purposes only. It is not intended to provide medical or other professional advice. Moreover, the views expressed here do not necessarily represent the views of Inquiries Journal or Student Pulse, its owners, staff, contributors, or affiliates.

Home | Current Issue | Blog | Archives | About The Journal | Submissions Terms of Use :: Privacy Policy :: Contact

Need an Account?

Forgot password? Reset your password »

An official website of the United States government

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

• Publications
• Account settings

Preview improvements coming to the PMC website in October 2024. Learn More or Try it out now .

• Advanced Search
• Journal List
• Front Psychol

Students' Achievement and Homework Assignment Strategies

Rubén fernández-alonso.

1 Department of Education Sciences, University of Oviedo, Oviedo, Spain

2 Department of Education, Principality of Asturias Government, Oviedo, Spain

Marcos Álvarez-Díaz

Javier suárez-Álvarez.

3 Department of Psychology, University of Oviedo, Oviedo, Spain

José Muñiz

The optimum time students should spend on homework has been widely researched although the results are far from unanimous. The main objective of this research is to analyze how homework assignment strategies in schools affect students' academic performance and the differences in students' time spent on homework. Participants were a representative sample of Spanish adolescents ( N = 26,543) with a mean age of 14.4 (±0.75), 49.7% girls. A test battery was used to measure academic performance in four subjects: Spanish, Mathematics, Science, and Citizenship. A questionnaire allowed the measurement of the indicators used for the description of homework and control variables. Two three-level hierarchical-linear models (student, school, autonomous community) were produced for each subject being evaluated. The relationship between academic results and homework time is negative at the individual level but positive at school level. An increase in the amount of homework a school assigns is associated with an increase in the differences in student time spent on homework. An optimum amount of homework is proposed which schools should assign to maximize gains in achievement for students overall.

The role of homework in academic achievement is an age-old debate (Walberg et al., 1985 ) that has swung between times when it was thought to be a tool for improving a country's competitiveness and times when it was almost outlawed. So Cooper ( 2001 ) talks about the battle over homework and the debates and rows continue (Walberg et al., 1985 , 1986 ; Barber, 1986 ). It is considered a complicated subject (Corno, 1996 ), mysterious (Trautwein and Köller, 2003 ), a chameleon (Trautwein et al., 2009b ), or Janus-faced (Flunger et al., 2015 ). One must agree with Cooper et al. ( 2006 ) that homework is a practice full of contradictions, where positive and negative effects coincide. As such, depending on our preferences, it is possible to find data which support the argument that homework benefits all students (Cooper, 1989 ), or that it does not matter and should be abolished (Barber, 1986 ). Equally, one might argue a compensatory effect as it favors students with more difficulties (Epstein and Van Voorhis, 2001 ), or on the contrary, that it is a source of inequality as it specifically benefits those better placed on the social ladder (Rømming, 2011 ). Furthermore, this issue has jumped over the school wall and entered the home, contributing to the polemic by becoming a common topic about which it is possible to have an opinion without being well informed, something that Goldstein ( 1960 ) warned of decades ago after reviewing almost 300 pieces of writing on the topic in Education Index and finding that only 6% were empirical studies.

The relationship between homework time and educational outcomes has traditionally been the most researched aspect (Cooper, 1989 ; Cooper et al., 2006 ; Fan et al., 2017 ), although conclusions have evolved over time. The first experimental studies (Paschal et al., 1984 ) worked from the hypothesis that time spent on homework was a reflection of an individual student's commitment and diligence and as such the relationship between time spent on homework and achievement should be positive. This was roughly the idea at the end of the twentieth century, when more positive effects had been found than negative (Cooper, 1989 ), although it was also known that the relationship was not strictly linear (Cooper and Valentine, 2001 ), and that its strength depended on the student's age- stronger in post-compulsory secondary education than in compulsory education and almost zero in primary education (Cooper et al., 2012 ). With the turn of the century, hierarchical-linear models ran counter to this idea by showing that homework was a multilevel situation and the effect of homework on outcomes depended on classroom factors (e.g., frequency or amount of assigned homework) more than on an individual's attitude (Trautwein and Köller, 2003 ). Research with a multilevel approach indicated that individual variations in time spent had little effect on academic results (Farrow et al., 1999 ; De Jong et al., 2000 ; Dettmers et al., 2010 ; Murillo and Martínez-Garrido, 2013 ; Fernández-Alonso et al., 2014 ; Núñez et al., 2014 ; Servicio de Evaluación Educativa del Principado de Asturias, 2016 ) and that when statistically significant results were found, the effect was negative (Trautwein, 2007 ; Trautwein et al., 2009b ; Lubbers et al., 2010 ; Chang et al., 2014 ). The reasons for this null or negative relationship lie in the fact that those variables which are positively associated with homework time are antagonistic when predicting academic performance. For example, some students may not need to spend much time on homework because they learn quickly and have good cognitive skills and previous knowledge (Trautwein, 2007 ; Dettmers et al., 2010 ), or maybe because they are not very persistent in their work and do not finish homework tasks (Flunger et al., 2015 ). Similarly, students may spend more time on homework because they have difficulties learning and concentrating, low expectations and motivation or because they need more direct help (Trautwein et al., 2006 ), or maybe because they put in a lot of effort and take a lot of care with their work (Flunger et al., 2015 ). Something similar happens with sociological variables such as gender: Girls spend more time on homework (Gershenson and Holt, 2015 ) but, compared to boys, in standardized tests they have better results in reading and worse results in Science and Mathematics (OECD, 2013a ).

On the other hand, thanks to multilevel studies, systematic effects on performance have been found when homework time is considered at the class or school level. De Jong et al. ( 2000 ) found that the number of assigned homework tasks in a year was positively and significantly related to results in mathematics. Equally, the volume or amount of homework (mean homework time for the group) and the frequency of homework assignment have positive effects on achievement. The data suggests that when frequency and volume are considered together, the former has more impact on results than the latter (Trautwein et al., 2002 ; Trautwein, 2007 ). In fact, it has been estimated that in classrooms where homework is always assigned there are gains in mathematics and science of 20% of a standard deviation over those classrooms which sometimes assign homework (Fernández-Alonso et al., 2015 ). Significant results have also been found in research which considered only homework volume at the classroom or school level. Dettmers et al. ( 2009 ) concluded that the school-level effect of homework is positive in the majority of participating countries in PISA 2003, and the OECD ( 2013b ), with data from PISA 2012, confirms that schools in which students have more weekly homework demonstrate better results once certain school and student-background variables are discounted. To put it briefly, homework has a multilevel nature (Trautwein and Köller, 2003 ) in which the variables have different significance and effects according to the level of analysis, in this case a positive effect at class level, and a negative or null effect in most cases at the level of the individual. Furthermore, the fact that the clearest effects are seen at the classroom and school level highlights the role of homework policy in schools and teaching, over and above the time individual students spend on homework.

From this complex context, this current study aims to explore the relationships between the strategies schools use to assign homework and the consequences that has on students' academic performance and on the students' own homework strategies. There are two specific objectives, firstly, to systematically analyze the differential effect of time spent on homework on educational performance, both at school and individual level. We hypothesize a positive effect for homework time at school level, and a negative effect at the individual level. Secondly, the influence of homework quantity assigned by schools on the distribution of time spent by students on homework will be investigated. This will test the previously unexplored hypothesis that an increase in the amount of homework assigned by each school will create an increase in differences, both in time spent on homework by the students, and in academic results. Confirming this hypothesis would mean that an excessive amount of homework assigned by schools would penalize those students who for various reasons (pace of work, gaps in learning, difficulties concentrating, overexertion) need to spend more time completing their homework than their peers. In order to resolve this apparent paradox we will calculate the optimum volume of homework that schools should assign in order to benefit the largest number of students without contributing to an increase in differences, that is, without harming educational equity.

Participants

The population was defined as those students in year 8 of compulsory education in the academic year 2009/10 in Spain. In order to provide a representative sample, a stratified random sampling was carried out from the 19 autonomous regions in Spain. The sample was selected from each stratum according to a two-stage cluster design (OECD, 2009 , 2011 , 2014a ; Ministerio de Educación, 2011 ). In the first stage, the primary units of the sample were the schools, which were selected with a probability proportional to the number of students in the 8th grade. The more 8th grade students in a given school, the higher the likelihood of the school being selected. In the second stage, 35 students were selected from each school through simple, systematic sampling. A detailed, step-by-step description of the sampling procedure may be found in OECD ( 2011 ). The subsequent sample numbered 29,153 students from 933 schools. Some students were excluded due to lack of information (absences on the test day), or for having special educational needs. The baseline sample was finally made up of 26,543 students. The mean student age was 14.4 with a standard deviation of 0.75, rank of age from 13 to 16. Some 66.2% attended a state school; 49.7% were girls; 87.8% were Spanish nationals; 73.5% were in the school year appropriate to their age, the remaining 26.5% were at least 1 year behind in terms of their age.

Test application, marking, and data recording were contracted out via public tendering, and were carried out by qualified personnel unconnected to the schools. The evaluation, was performed on two consecutive days, each day having two 50 min sessions separated by a break. At the end of the second day the students completed a context questionnaire which included questions related to homework. The evaluation was carried out in compliance with current ethical standards in Spain. Families of the students selected to participate in the evaluation were informed about the study by the school administrations, and were able to choose whether those students would participate in the study or not.

Instruments

Tests of academic performance.

The performance test battery consisted of 342 items evaluating four subjects: Spanish (106 items), mathematics (73 items), science (78), and citizenship (85). The items, completed on paper, were in various formats and were subject to binary scoring, except 21 items which were coded on a polytomous scale, between 0 and 2 points (Ministerio de Educación, 2011 ). As a single student is not capable of answering the complete item pool in the time given, the items were distributed across various booklets following a matrix design (Fernández-Alonso and Muñiz, 2011 ). The mean Cronbach α for the booklets ranged from 0.72 (mathematics) to 0.89 (Spanish). Student scores were calculated adjusting the bank of items to Rasch's IRT model using the ConQuest 2.0 program (Wu et al., 2007 ) and were expressed in a scale with mean and standard deviation of 500 and 100 points respectively. The student's scores were divided into five categories, estimated using the plausible values method. In large scale assessments this method is better at recovering the true population parameters (e.g., mean, standard deviation) than estimates of scores using methods of maximum likelihood or expected a-posteriori estimations (Mislevy et al., 1992 ; OECD, 2009 ; von Davier et al., 2009 ).

Homework variables

A questionnaire was made up of a mix of items which allowed the calculation of the indicators used for the description of homework variables. Daily minutes spent on homework was calculated from a multiple choice question with the following options: (a) Generally I don't have homework; (b) 1 h or less; (c) Between 1 and 2 h; (d) Between 2 and 3 h; (e) More than 3 h. The options were recoded as follows: (a) = 0 min.; (b) = 45 min.; (c) = 90 min.; (d) = 150 min.; (e) = 210 min. According to Trautwein and Köller ( 2003 ) the average homework time of the students in a school could be regarded as a good proxy for the amount of homework assigned by the teacher. So the mean of this variable for each school was used as an estimator of Amount or volume of homework assigned .

Control variables

Four variables were included to describe sociological factors about the students, three were binary: Gender (1 = female ); Nationality (1 = Spanish; 0 = other ); School type (1 = state school; 0 = private ). The fourth variable was Socioeconomic and cultural index (SECI), which is constructed with information about family qualifications and professions, along with the availability of various material and cultural resources at home. It is expressed in standardized points, N(0,1) . Three variables were used to gather educational history: Appropriate School Year (1 = being in the school year appropriate to their age ; 0 = repeated a school year) . The other two adjustment variables were Academic Expectations and Motivation which were included for two reasons: they are both closely connected to academic achievement (Suárez-Álvarez et al., 2014 ). Their position as adjustment factors is justified because, in an ex-post facto descriptive design such as this, both expectations and motivation may be thought of as background variables that the student brings with them on the day of the test. Academic expectations for finishing education was measured with a multiple-choice item where the score corresponds to the years spent in education in order to reach that level of qualification: compulsory secondary education (10 points); further secondary education (12 points); non-university higher education (14 points); University qualification (16 points). Motivation was constructed from the answers to six four-point Likert items, where 1 means strongly disagree with the sentence and 4 means strongly agree. Students scoring highly in this variable are agreeing with statements such as “at school I learn useful and interesting things.” A Confirmatory Factor Analysis was performed using a Maximum Likelihood robust estimation method (MLMV) and the items fit an essentially unidimensional scale: CFI = 0.954; TLI = 0.915; SRMR = 0.037; RMSEA = 0.087 (90% CI = 0.084–0.091).

As this was an official evaluation, the tests used were created by experts in the various fields, contracted by the Spanish Ministry of Education in collaboration with the regional education authorities.

Data analyses

Firstly the descriptive statistics and Pearson correlations between the variables were calculated. Then, using the HLM 6.03 program (Raudenbush et al., 2004 ), two three-level hierarchical-linear models (student, school, autonomous community) were produced for each subject being evaluated: a null model (without predictor variables) and a random intercept model in which adjustment variables and homework variables were introduced at the same time. Given that HLM does not return standardized coefficients, all of the variables were standardized around the general mean, which allows the interpretation of the results as classical standardized regression analysis coefficients. Levels 2 and 3 variables were constructed from means of standardized level 1 variables and were not re-standardized. Level 1 variables were introduced without centering except for four cases: study time, motivation, expectation, and socioeconomic and cultural level which were centered on the school mean to control composition effects (Xu and Wu, 2013 ) and estimate the effect of differences in homework time among the students within the same school. The range of missing variable cases was very small, between 1 and 3%. Recovery was carried out using the procedure described in Fernández-Alonso et al. ( 2012 ).

The results are presented in two ways: the tables show standardized coefficients while in the figures the data are presented in a real scale, taking advantage of the fact that a scale with a 100 point standard deviation allows the expression of the effect of the variables and the differences between groups as percentage increases in standardized points.

Table ​ Table1 1 shows the descriptive statistics and the matrix of correlations between the study variables. As can be seen in the table, the relationship between the variables turned out to be in the expected direction, with the closest correlations between the different academic performance scores and socioeconomic level, appropriate school year, and student expectations. The nationality variable gave the highest asymmetry and kurtosis, which was to be expected as the majority of the sample are Spanish.

Descriptive statistics and Pearson correlation matrix between the variables .

Table ​ Table2 2 shows the distribution of variance in the null model. In the four subjects taken together, 85% of the variance was found at the student level, 10% was variance between schools, and 5% variance between regions. Although the 10% of variance between schools could seem modest, underlying that there were large differences. For example, in Spanish the 95% plausible value range for the school means ranged between 577 and 439 points, practically 1.5 standard deviations, which shows that schools have a significant impact on student results.

Distribution of the variance in the null model .

Table ​ Table3 3 gives the standardized coefficients of the independent variables of the four multilevel models, as well as the percentage of variance explained by each level.

Multilevel models for prediction of achievement in four subjects .

β, Standardized weight; SE, Standard Error; SECI, Socioeconomic and cultural index; AC, Autonomous Communities .

The results indicated that the adjustment variables behaved satisfactorily, with enough control to analyze the net effects of the homework variables. This was backed up by two results, firstly, the two variables with highest standardized coefficients were those related to educational history: academic expectations at the time of the test, and being in the school year corresponding to age. Motivation demonstrated a smaller effect but one which was significant in all cases. Secondly, the adjustment variables explained the majority of the variance in the results. The percentages of total explained variance in Table ​ Table2 2 were calculated with all variables. However, if the strategy had been to introduce the adjustment variables first and then add in the homework variables, the explanatory gain in the second model would have been about 2% in each subject.

The amount of homework turned out to be positively and significantly associated with the results in the four subjects. In a 100 point scale of standard deviation, controlling for other variables, it was estimated that for each 10 min added to the daily volume of homework, schools would achieve between 4.1 and 4.8 points more in each subject, with the exception of mathematics where the increase would be around 2.5 points. In other words, an increase of between 15 and 29 points in the school mean is predicted for each additional hour of homework volume of the school as a whole. This school level gain, however, would only occur if the students spent exactly the same time on homework as their school mean. As the regression coefficient of student homework time is negative and the variable is centered on the level of the school, the model predicts deterioration in results for those students who spend more time than their class mean on homework, and an improvement for those who finish their homework more quickly than the mean of their classmates.

Furthermore, the results demonstrated a positive association between the amount of homework assigned in a school and the differences in time needed by the students to complete their homework. Figure ​ Figure1 1 shows the relationship between volume of homework (expressed as mean daily minutes of homework by school) and the differences in time spent by students (expressed as the standard deviation from the mean school daily minutes). The correlation between the variables was 0.69 and the regression gradient indicates that schools which assigned 60 min of homework per day had a standard deviation in time spent by students on homework of approximately 25 min, whereas in those schools assigning 120 min of homework, the standard deviation was twice as long, and was over 50 min. So schools which assigned more homework also tended to demonstrate greater differences in the time students need to spend on that homework.

Relationship between school homework volume and differences in time needed by students to complete homework .

Figure ​ Figure2 2 shows the effect on results in mathematics of the combination of homework time, homework amount, and the variance of homework time associated with the amount of homework assigned in two types of schools: in type 1 schools the amount of homework assigned is 1 h, and in type 2 schools the amount of homework 2 h. The result in mathematics was used as a dependent variable because, as previously noted, it was the subject where the effect was smallest and as such is the most conservative prediction. With other subjects the results might be even clearer.

Prediction of results for quick and slow students according to school homework size .

Looking at the first standard deviation of student homework time shown in the first graph, it was estimated that in type 1 schools, which assign 1 h of daily homework, a quick student (one who finishes their homework before 85% of their classmates) would spend a little over half an hour (35 min), whereas the slower student, who spends more time than 85% of classmates, would need almost an hour and a half of work each day (85 min). In type 2 schools, where the homework amount is 2 h a day, the differences increase from just over an hour (65 min for a quick student) to almost 3 h (175 min for a slow student). Figure ​ Figure2 2 shows how the differences in performance would vary within a school between the more and lesser able students according to amount of homework assigned. In type 1 schools, with 1 h of homework per day, the difference in achievement between quick and slow students would be around 5% of a standard deviation, while in schools assigning 2 h per day the difference would be 12%. On the other hand, the slow student in a type 2 school would score 6 points more than the quick student in a type 1 school. However, to achieve this, the slow student in a type 2 school would need to spend five times as much time on homework in a week (20.4 weekly hours rather than 4.1). It seems like a lot of work for such a small gain.

Discussion and conclusions

The data in this study reaffirm the multilevel nature of homework (Trautwein and Köller, 2003 ) and support this study's first hypothesis: the amount of homework (mean daily minutes the student spends on homework) is positively associated with academic results, whereas the time students spent on homework considered individually is negatively associated with academic results. These findings are in line with previous research, which indicate that school-level variables, such as amount of homework assigned, have more explanatory power than individual variables such as time spent (De Jong et al., 2000 ; Dettmers et al., 2010 ; Scheerens et al., 2013 ; Fernández-Alonso et al., 2015 ). In this case it was found that for each additional hour of homework assigned by a school, a gain of 25% of a standard deviation is expected in all subjects except mathematics, where the gain is around 15%. On the basis of this evidence, common sense would dictate the conclusion that frequent and abundant homework assignment may be one way to improve school efficiency.

However, as noted previously, the relationship between homework and achievement is paradoxical- appearances are deceptive and first conclusions are not always confirmed. Analysis demonstrates another two complementary pieces of data which, read together, raise questions about the previous conclusion. In the first place, time spent on homework at the individual level was found to have a negative effect on achievement, which confirms the findings of other multilevel-approach research (Trautwein, 2007 ; Trautwein et al., 2009b ; Chang et al., 2014 ; Fernández-Alonso et al., 2016 ). Furthermore, it was found that an increase in assigned homework volume is associated with an increase in the differences in time students need to complete it. Taken together, the conclusion is that, schools with more homework tend to exhibit more variation in student achievement. These results seem to confirm our second hypothesis, as a positive covariation was found between the amount of homework in a school (the mean homework time by school) and the increase in differences within the school, both in student homework time and in the academic results themselves. The data seem to be in line with those who argue that homework is a source of inequity because it affects those less academically-advantaged students and students with greater limitations in their home environments (Kohn, 2006 ; Rømming, 2011 ; OECD, 2013b ).

This new data has clear implications for educational action and school homework policies, especially in compulsory education. If quality compulsory education is that which offers the best results for the largest number (Barber and Mourshed, 2007 ; Mourshed et al., 2010 ), then assigning an excessive volume of homework at those school levels could accentuate differences, affecting students who are slower, have more gaps in their knowledge, or are less privileged, and can make them feel overwhelmed by the amount of homework assigned to them (Martinez, 2011 ; OECD, 2014b ; Suárez et al., 2016 ). The data show that in a school with 60 min of assigned homework, a quick student will need just 4 h a week to finish their homework, whereas a slow student will spend 10 h a week, 2.5 times longer, with the additional aggravation of scoring one twentieth of a standard deviation below their quicker classmates. And in a school assigning 120 min of homework per day, a quick student will need 7.5 h per week whereas a slow student will have to triple this time (20 h per week) to achieve a result one eighth worse, that is, more time for a relatively worse result.

It might be argued that the differences are not very large, as between 1 and 2 h of assigned homework, the level of inequality increases 7% on a standardized scale. But this percentage increase has been estimated after statistically, or artificially, accounting for sociological and psychological student factors and other variables at school and region level. The adjustment variables influence both achievement and time spent on homework, so it is likely that in a real classroom situation the differences estimated here might be even larger. This is especially important in comprehensive education systems, like the Spanish (Eurydice, 2015 ), in which the classroom groups are extremely heterogeneous, with a variety of students in the same class in terms of ability, interest, and motivation, in which the aforementioned variables may operate more strongly.

The results of this research must be interpreted bearing in mind a number of limitations. The most significant limitation in the research design is the lack of a measure of previous achievement, whether an ad hoc test (Murillo and Martínez-Garrido, 2013 ) or school grades (Núñez et al., 2014 ), which would allow adjustment of the data. In an attempt to alleviate this, our research has placed special emphasis on the construction of variables which would work to exclude academic history from the model. The use of the repetition of school year variable was unavoidable because Spain has one of the highest levels of repetition in the European Union (Eurydice, 2011 ) and repeating students achieve worse academic results (Ministerio de Educación, 2011 ). Similarly, the expectation and motivation variables were included in the group of adjustment factors assuming that in this research they could be considered background variables. In this way, once the background factors are discounted, the homework variables explain 2% of the total variance, which is similar to estimations from other multilevel studies (De Jong et al., 2000 ; Trautwein, 2007 ; Dettmers et al., 2009 ; Fernández-Alonso et al., 2016 ). On the other hand, the statistical models used to analyze the data are correlational, and as such, one can only speak of an association between variables and not of directionality or causality in the analysis. As Trautwein and Lüdtke ( 2009 ) noted, the word “effect” must be understood as “predictive effect.” In other words, it is possible to say that the amount of homework is connected to performance; however, it is not possible to say in which direction the association runs. Another aspect to be borne in mind is that the homework time measures are generic -not segregated by subject- when it its understood that time spent and homework behavior are not consistent across all subjects (Trautwein et al., 2006 ; Trautwein and Lüdtke, 2007 ). Nonetheless, when the dependent variable is academic results it has been found that the relationship between homework time and achievement is relatively stable across all subjects (Lubbers et al., 2010 ; Chang et al., 2014 ) which leads us to believe that the results given here would have changed very little even if the homework-related variables had been separated by subject.

Future lines of research should be aimed toward the creation of comprehensive models which incorporate a holistic vision of homework. It must be recognized that not all of the time spent on homework by a student is time well spent (Valle et al., 2015 ). In addition, research has demonstrated the importance of other variables related to student behavior such as rate of completion, the homework environment, organization, and task management, autonomy, parenting styles, effort, and the use of study techniques (Zimmerman and Kitsantas, 2005 ; Xu, 2008 , 2013 ; Kitsantas and Zimmerman, 2009 ; Kitsantas et al., 2011 ; Ramdass and Zimmerman, 2011 ; Bembenutty and White, 2013 ; Xu and Wu, 2013 ; Xu et al., 2014 ; Rosário et al., 2015a ; Osorio and González-Cámara, 2016 ; Valle et al., 2016 ), as well as the role of expectation, value given to the task, and personality traits (Lubbers et al., 2010 ; Goetz et al., 2012 ; Pedrosa et al., 2016 ). Along the same lines, research has also indicated other important variables related to teacher homework policies, such as reasons for assignment, control and feedback, assignment characteristics, and the adaptation of tasks to the students' level of learning (Trautwein et al., 2009a ; Dettmers et al., 2010 ; Patall et al., 2010 ; Buijs and Admiraal, 2013 ; Murillo and Martínez-Garrido, 2013 ; Rosário et al., 2015b ). All of these should be considered in a comprehensive model of homework.

In short, the data seem to indicate that in year 8 of compulsory education, 60–70 min of homework a day is a recommendation that, slightly more optimistically than Cooper's ( 2001 ) “10 min rule,” gives a reasonable gain for the whole school, without exaggerating differences or harming students with greater learning difficulties or who work more slowly, and is in line with other available evidence (Fernández-Alonso et al., 2015 ). These results have significant implications when it comes to setting educational policy in schools, sending a clear message to head teachers, teachers and those responsible for education. The results of this research show that assigning large volumes of homework increases inequality between students in pursuit of minimal gains in achievement for those who least need it. Therefore, in terms of school efficiency, and with the aim of improving equity in schools it is recommended that educational policies be established which optimize all students' achievement.

Ethics statement

This study was carried out in accordance with the recommendations of the University of Oviedo with written informed consent from all subjects. All subjects gave written informed consent in accordance with the Declaration of Helsinki. The protocol was approved by the University of Oviedo.

Author contributions

RF and JM have designed the research; RF and JS have analyzed the data; MA and JM have interpreted the data; RF, MA, and JS have drafted the paper; JM has revised it critically; all authors have provided final approval of the version to be published and have ensured the accuracy and integrity of the work.

This research was funded by the Ministerio de Economía y Competitividad del Gobierno de España. References: PSI2014-56114-P, BES2012-053488. We would like to express our utmost gratitude to the Ministerio de Educación Cultura y Deporte del Gobierno de España and to the Consejería de Educación y Cultura del Gobierno del Principado de Asturias, without whose collaboration this research would not have been possible.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

• Barber B. (1986). Homework does not belong on the agenda for educational reform . Educ. Leadersh. 43 , 55–57. [ Google Scholar ]
• Barber M., Mourshed M. (2007). How the World's Best-Performing School Systems Come Out on Top. McKinsey and Company . Available online at: http://mckinseyonsociety.com/downloads/reports/Education/Worlds_School_Systems_Final.pdf (Accessed January 25, 2016).
• Bembenutty H., White M. C. (2013). Academic performance and satisfaction with homework completion among college students . Learn. Individ. Differ. 24 , 83–88. 10.1016/j.lindif.2012.10.013 [ CrossRef ] [ Google Scholar ]
• Buijs M., Admiraal W. (2013). Homework assignments to enhance student engagement in secondary education . Eur. J. Psychol. Educ. 28 , 767–779. 10.1007/s10212-012-0139-0 [ CrossRef ] [ Google Scholar ]
• Chang C. B., Wall D., Tare M., Golonka E., Vatz K. (2014). Relations of attitudes toward homework and time spent on homework to course outcomes: the case of foreign language learning . J. Educ. Psychol. 106 , 1049–1065. 10.1037/a0036497 [ CrossRef ] [ Google Scholar ]
• Cooper H. (1989). Synthesis of research on homework . Educ. Leadersh. 47 , 85–91. [ Google Scholar ]
• Cooper H. (2001). The Battle Over Homework: Common Ground for Administrators, Teachers, and Parents . Thousand Oaks, CA: Sage. [ Google Scholar ]
• Cooper H., Robinson J. C., Patall E. A. (2006). Does homework improve academic achievement? A synthesis of research, 1987-2003 . Rev. Educ. Res. 76 , 1–62. 10.3102/00346543076001001 [ CrossRef ] [ Google Scholar ]
• Cooper H., Steenbergen-Hu S., Dent A. L. (2012). Homework , in APA Educational Psychology Handbook , Vol. 3 : Application to Learning and Teaching , eds Harris K. R., Graham S., Urdan T. (Washington, DC: American Psychological Association; ), 475–495. [ Google Scholar ]
• Cooper H., Valentine J. C. (2001). Using research to answer practical questions about homework . Educ. Psychol. 36 , 143–153. 10.1207/S15326985EP3603_1 [ CrossRef ] [ Google Scholar ]
• Corno L. (1996). Homework is a complicated thing . Educ. Res. 25 , 27–30. 10.3102/0013189X025008027 [ CrossRef ] [ Google Scholar ]
• De Jong R., Westerhof K. J., Creemers B. P. M. (2000). Homework and student math achievement in junior high schools . Educ. Res. Eval. 6 , 130–157. 10.1076/1380-3611(200006)6:2;1-E;F130 [ CrossRef ] [ Google Scholar ]
• Dettmers S., Trautwein U., Lüdtke M., Kunter M., Baumert J. (2010). Homework works if homework quality is high: using multilevel modeling to predict the development of achievement in mathematics . J. Educ. Psychol. 102 , 467–482. 10.1037/a0018453 [ CrossRef ] [ Google Scholar ]
• Dettmers S., Trautwein U., Lüdtke O. (2009). The relationship between homework time and achievement is not universal: evidence from multilevel analyses in 40 countries . Sch. Eff. Sch. Improv. 20 , 375–405. 10.1080/09243450902904601 [ CrossRef ] [ Google Scholar ]
• Epstein J. L., Van Voorhis F. L. (2001). More than minutes: teachers' roles in designing homework . Educ. Psychol. 36 , 181–193. 10.1207/S15326985EP3603_4 [ CrossRef ] [ Google Scholar ]
• Eurydice (2015). The Structure of the European Education Systems 2015/16: Schematic Diagrams. Luxembourg: Publications Office of the European Union . Available online at: https://webgate.ec.europa.eu/fpfis/mwikis/eurydice/index.php/Publications:The_Structure_of_the_European_Education_Systems_2015/16:_Schematic_Diagrams (Accessed January 25, 2016).
• Eurydice (2011). Grade Retention during Compulsory Education in Europe: Regulations and Statistics . Luxembourg: Publications Office of the European Union. [ Google Scholar ]
• Fan H., Xu J., Cai Z., He J., Fan X. (2017). Homework and students' achievement in math and science: a 30-year meta-analysis, 1986-2015 . Educ. Res. Rev. 20 , 35–54. 10.1016/j.edurev.2016.11.003 [ CrossRef ] [ Google Scholar ]
• Farrow S., Tymms P., Henderson B. (1999). Homework and attainment in primary schools . Br. Educ. Res. J. 25 , 323–341. 10.1080/0141192990250304 [ CrossRef ] [ Google Scholar ]
• Fernández-Alonso R., Muñiz J. (2011). Diseños de cuadernillos para la evaluación de competencias b1sicas . Aula Abierta 39 , 3–34. [ Google Scholar ]
• Fernández-Alonso R., Suárez-Álvarez J., Muñiz J. (2012). Imputación de datos perdidos en las evaluaciones diagnósticas educativas. [Imputation methods for missing data in educational diagnostic evaluation]. Psicothema 24 , 167–175. [ PubMed ] [ Google Scholar ]
• Fernández-Alonso R., Suárez-Álvarez J., Muñiz J. (2014). Tareas escolares en el hogar y rendimiento en matemáticas: una aproximación multinivel con estudiantes de enseñanza primaria. [Homework and academic performance in mathematics: A multilevel approach with primary school student]. Rev. Psicol. Educ. 9 , 15–30. [ Google Scholar ]
• Fernández-Alonso R., Suárez-Álvarez J., Muñiz J. (2015). Adolescents' homework performance in mathematics and science: personal factors and teaching practices . J. Educ. Psychol. 107 , 1075–1085. 10.1037/edu0000032 [ CrossRef ] [ Google Scholar ]
• Fernández-Alonso R., Suárez-Álvarez J., Muñiz J. (2016). Homework and performance in mathematics: the role of the teacher, the family and the student's background . Rev. Psicod. 21 , 5–23. 10.1387/RevPsicodidact.13939 [ CrossRef ] [ Google Scholar ]
• Flunger B., Trautwein U., Nagengast B., Lüdtke O., Niggli A., Schnyder I. (2015). The Janus-faced nature of time spent on homework: using latent profile analyses to predict academic achievement over a school year . Lear. Instr. 39 , 97–106. 10.1016/j.learninstruc.2015.05.008 [ CrossRef ] [ Google Scholar ]
• Gershenson S., Holt S. B. (2015). Gender gaps in high school students' homework time . Educ. Res. 44 , 432–441. 10.3102/0013189X15616123 [ CrossRef ] [ Google Scholar ]
• Goetz T., Nett U. E., Martiny S. E., Hall N. C., Pekrun R., Dettmers S., et al. (2012). Students' emotions during homework: structures, self-concept antecedents, and achievement outcomes . Learn. Individ. Differ. 22 , 225–234. 10.1016/j.lindif.2011.04.006 [ CrossRef ] [ Google Scholar ]
• Goldstein A. (1960). Does homework help? A review of research . Elementary Sch. J. 60 , 212–224. 10.1086/459804 [ CrossRef ] [ Google Scholar ]
• Kitsantas A., Cheema J., Ware H. (2011). The role of homework support resources, time spent on homework, and self-efficacy beliefs in mathematics achievement . J. Adv. Acad. 22 , 312–341. 10.1177/1932202X1102200206 [ CrossRef ] [ Google Scholar ]
• Kitsantas A., Zimmerman B. J. (2009). College students homework and academic achievement: the mediating role of self-regulatory beliefs . Metacognition Learn. 4 , 1556–1623. 10.1007/s11409-008-9028-y [ CrossRef ] [ Google Scholar ]
• Kohn A. (2006). Abusing research: the study of homework and other examples . Phi Delta Kappan 88 , 9–22. 10.1177/003172170608800105 [ CrossRef ] [ Google Scholar ]
• Lubbers M. J., Van Der Werf M. P. C., Kuyper H., Hendriks A. A. J. (2010). Does homework behavior mediate the relation between personality and academic performance? Learn. Individ. Differ. 20 , 203–208. 10.1016/j.lindif.2010.01.005 [ CrossRef ] [ Google Scholar ]
• Martinez S. (2011). An examination of Latino students' homework routines . J. Latinos Educ. 10 , 354–368. 10.1080/15348431.2011.605688 [ CrossRef ] [ Google Scholar ]
• Mislevy R. J., Beaton A. E., Kaplan B., Sheehan K. M. (1992). Estimating population characteristics from sparse matrix samples of item responses . J. Educ. Meas. 29 , 133–161. 10.1111/j.1745-3984.1992.tb00371.x [ CrossRef ] [ Google Scholar ]
• Ministerio de Educación (2011). Evaluación General de Diagnóstico 2010. Educación Secundaria Obligatoria. Informe de Resultados . Madrid: Instituto de Evaluación; Available online at: http://www.mecd.gob.es/dctm/ievaluacion/informe-egd-2010.pdf?documentId=0901e72b80d5ad3e (Accessed January 25, 2016). [ Google Scholar ]
• Mourshed M., Chijioke C., Barber M. (2010). How the World's Most Improved School Systems Keep Getting Better. McKinsey and Company . Available online at: http://mckinseyonsociety.com/downloads/reports/Education/How-the-Worlds-Most-Improved-School-Systems-Keep-Getting-Better_Download-version_Final.pdf (Accessed January 25, 2016).
• Murillo F. J., Martínez-Garrido C. (2013). Homework influence on academic performance. A study of iberoamerican students of primary education . J. Psychodidactics 18 , 157–171. 10.1387/RevPsicodidact.6156 [ CrossRef ] [ Google Scholar ]
• Núñez J. C., Vallejo G., Rosário P., Tuero E., Valle A. (2014). Student, teacher, and school context variables predicting academic achievement in biology: analysis from a multilevel perspective . J. Psychodidactics 19 , 145–171. 10.1387/RevPsicodidact.7127 [ CrossRef ] [ Google Scholar ]
• OECD (2009). PISA Data Analysis Manual: SPSS, 2nd Edn . Paris: OECD Publishing. [ Google Scholar ]
• OECD (2011). School Sampling Preparation Manual. PISA 2012 Main Survey. Paris: OECD Publishing; Available online at: https://www.oecd.org/pisa/pisaproducts/PISA2012MS-SamplingGuidelines-.pdf (Accessed January 6, 2017). [ Google Scholar ]
• OECD (2013a). PISA 2012 Results: What Students Know and Can Do. Student Performance in Mathematics, Reading and Science (Volume I) . Paris: OECD Publishing. [ Google Scholar ]
• OECD (2013b). PISA 2012 Results: What Makes Schools Successful? Resources, Policies and Practices (Volume IV). Paris: OECD Publishing. [ Google Scholar ]
• OECD (2014a). PISA 2012 Technical Report. Paris: OECD Publishing; Available online at: http://www.oecd.org/pisa/pisaproducts/PISA-2012-technical-report-final.pdf (Accessed January 25, 2016). [ Google Scholar ]
• OECD (2014b). Does Homework Perpetuate Inequities in Education? PISA in Focus . Paris: OECD Publishing. [ Google Scholar ]
• Osorio A., González-Cámara M. (2016). Testing the alleged superiority of the indulgent parenting style among Spanish adolescents . Psicothema 28 , 414–420. 10.7334/psicothema2015.314 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Paschal R. A., Weinstein T., Walberg H. J. (1984). The effects of homework on learning: a quantitative synthesis . J. Educ. Res. 78 , 97–104. 10.1080/00220671.1984.10885581 [ CrossRef ] [ Google Scholar ]
• Patall E. A., Cooper H., Wynn S. R. (2010). The effectiveness and relative importance of providing choices in the classroom . J. Educ. Psychol. 102 , 896–915. 10.1037/a0019545 [ CrossRef ] [ Google Scholar ]
• Pedrosa I., Suárez-Álvarez J., García-Cueto E., Muñiz J. (2016). A computerized adaptive test for enterprising personality assessment in youth . Psicothema 28 , 471–478. 10.7334/psicothema2016.68 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Ramdass D., Zimmerman B. J. (2011). Developing self-regulation skills: the important role of homework . J. Adv. Acad. 22 , 194–218. 10.1177/1932202X1102200202 [ CrossRef ] [ Google Scholar ]
• Raudenbush S. W., Bryk A. S., Cheong Y. F., Congdon R. T. (2004). HLM6: Hierarchical Linear and Nonlinear Modeling . Chicago: Scientific Software International. [ Google Scholar ]
• Rømming M. (2011). Who benefits from homework assignments? Econ. Educ. Rev. 30 , 55–64. 10.1016/j.econedurev.2010.07.001 [ CrossRef ] [ Google Scholar ]
• Rosário P., Núñez J. C., Vallejo G., Cunha J., Nunes T., Mourão R., et al. (2015a). Does homework design matter? The role of homework's purpose in student mathematics achievement . Contemp. Educ. Psychol. 43 , 10–24. 10.1016/j.cedpsych.2015.08.001 [ CrossRef ] [ Google Scholar ]
• Rosário P., Núñez J. C., Vallejo G., Cunha J., Nunes T., Suárez N., et al.. (2015b). The effects of teachers' homework follow-up practices on students' EFL performance: a randomized-group design . Front. Psychol. 6 :1528. 10.3389/fpsyg.2015.01528 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Servicio de Evaluación Educativa del Principado de Asturias (2016). La relación entre el tiempo de deberes y los resultados académicos [The Relationship between Homework Time and Academic Performance]. Informes de Evaluación, 1 . Oviedo: Consejería de Educación y Cultura del Gobierno del Principado de Asturias. [ Google Scholar ]
• Scheerens J., Hendriks M., Luyten H., Sleegers P., Cees G. (2013). Productive Time in Education. A Review of the Effectiveness of Teaching Time at School, Homework and Extended Time Outside School Hours. Enschede: University of Twente . Available online at: http://doc.utwente.nl/86371/ (Accessed January 25, 2016).
• Suárez-Álvarez J., Fernández-Alonso R., Muñiz J. (2014). Self-concept, motivation, expectations and socioeconomic level as predictors of academic performance in mathematics . Learn. Indiv. Diff. 30 , 118–123. 10.1016/j.lindif.2013.10.019 [ CrossRef ] [ Google Scholar ]
• Suárez N., Regueiro B., Epstein J. L., Piñeiro I., Díaz S. M., Valle A. (2016). Homework involvement and academic achievement of native and immigrant students . Front. Psychol. 7 :1517. 10.3389/fpsyg.2016.01517 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Trautwein U. (2007). The homework–achievement relation reconsidered: differentiating homework time, homework frequency, and homework effort . Learn. Instr. 17 , 372–388. 10.1016/j.learninstruc.2007.02.009 [ CrossRef ] [ Google Scholar ]
• Trautwein U., Köller O. (2003). The relationship between homework and achievement: still much of a mystery . Educ. Psychol. Rev. 15 , 115–145. 10.1023/A:1023460414243 [ CrossRef ] [ Google Scholar ]
• Trautwein U., Köller O., Schmitz B., Baumert J. (2002). Do homework assignments enhance achievement? A multilevel analysis in 7th grade mathematics . Contemp. Educ. Psychol. 27 , 26–50. 10.1006/ceps.2001.1084 [ CrossRef ] [ Google Scholar ]
• Trautwein U., Lüdtke O., Schnyder I., Niggli A. (2006). Predicting homework effort: support for a domain-specific, multilevel homework model . J. Educ. Psychol. 98 , 438–456. 10.1037/0022-0663.98.2.438 [ CrossRef ] [ Google Scholar ]
• Trautwein U., Lüdtke O. (2007). Students' self-reported effort and time on homework in six school subjects: between-student differences and within-student variation . J. Educ. Psychol. 99 , 432–444. 10.1037/0022-0663.99.2.432 [ CrossRef ] [ Google Scholar ]
• Trautwein U., Lüdtke O. (2009). Predicting homework motivation and homework effort in six school subjects: the role of person and family characteristics, classroom factors, and school track . Learn. Instr. 19 , 243–258. 10.1016/j.learninstruc.2008.05.001 [ CrossRef ] [ Google Scholar ]
• Trautwein U., Niggli A., Schnyder I., Lüdtke O. (2009a). Between-teacher differences in homework assignments and the development of students' homework effort, homework emotions, and achievement . J. Educ. Psychol. 101 , 176–189. 10.1037/0022-0663.101.1.176 [ CrossRef ] [ Google Scholar ]
• Trautwein U., Schnyder I., Niggli A., Neumann M., Lüdtke O. (2009b). Chameleon effects in homework research: the homework–achievement association depends on the measures used and the level of analysis chosen . Contemp. Educ. Psychol. 34 , 77–88. 10.1016/j.cedpsych.2008.09.001 [ CrossRef ] [ Google Scholar ]
• Valle A., Pan I., Regueiro B., Suárez N., Tuero E., Nunes A. R. (2015). Predicting approach to homework in primary school students . Psicothema 27 , 334–340. 10.7334/psicothema2015.118 [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Valle A., Regueiro B., Núñez J. C., Rodríguez S., Piñero I., Rosário P. (2016). Academic goals, student homework engagement, and academic achievement in elementary school . Front. Psychol. 7 :463. 10.3389/fpsyg.2016.00463 [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• von Davier M., Gonzalez E., Mislevy R. J. (2009). What are Plausible Values and Why are They Useful?. IERI Monograph Series. Issues and Methodologies in Large-Scale Assessments. Available online at: http://www.ierinstitute.org/fileadmin/Documents/IERI_Monograph/IERI_Monograph_Volume_02.pdf (Accessed January 15, 2017).
• Walberg H. J., Paschal R. A., Weinstein T. (1985). Homework's powerful effects on learning . Educ. Leadersh. 42 , 76–79. [ Google Scholar ]
• Walberg H. J., Paschal R. A., Weinstein T. (1986). Walberg and colleagues reply: effective schools use homework effectively . Educ. Leadersh. 43 , 58. [ Google Scholar ]
• Wu M. L., Adams R. J., Wilson M. R., Haldane S. A. (2007). ACER ConQuest 2.0: Generalised Item Response Modelling Software . Camberwell, VIC: Australian Council for Educational Research. [ Google Scholar ]
• Xu J. (2008). Models of secondary school students' interest in homework: a multilevel analysis . Am. Educ. Res. J. 45 , 1180–1205. 10.3102/0002831208323276 [ CrossRef ] [ Google Scholar ]
• Xu J. (2013). Why do students have difficulties completing homework? The need for homework management . J. Educ. Train. Stud. 1 , 98–105. 10.11114/jets.v1i1.78 [ CrossRef ] [ Google Scholar ]
• Xu J., Wu H. (2013). Self-regulation of homework behavior: homework management at the secondary school level . J. Educ. Res. 106 , 1–13. 10.1080/00220671.2012.658457 [ CrossRef ] [ Google Scholar ]
• Xu J., Yuan R., Xu B., Xu M. (2014). Modeling students' time management in math homework . Learn. Individ. Differ. 34 , 33–42. 10.1016/j.lindif.2014.05.011 [ CrossRef ] [ Google Scholar ]
• Zimmerman B. J., Kitsantas A. (2005). Homework practices and academic achievement: the mediating role of self-efficacy and perceived responsibility beliefs . Contemp. Educ. Psychol. 30 , 397–417. 10.1016/j.cedpsych.2005.05.003 [ CrossRef ] [ Google Scholar ]

• Satchel One learning platform
• About Satchel
• Get in touch
• Back to all blog posts

Research into the Importance of Homework

Author: Bethany Spencer

Posted: 15 May 2017

Estimated time to read: 10 mins

Homework as a concept has been around for hundreds of years, and today is considered the norm for modern schools. At secondary level, schools set regular homework via a whole-school homework policy. This can take many forms and is sometimes given a different name like 'home learning' or 'Independent study', but the concept of completing work outside of the classroom remains the same.

The setting of homework is regarded highly by many with Epstein‭ ‬&‭ ‬Van Voorhis stating that it not only reflects on the success of the student‭, ‬but also the success of the school‭ (‬2001‭). ‬In spite of this‭, ‬attitudes towards homework are constantly changing‭, ‬culminating in‭ ‬the age old homework debate. ‬

The Homework Debate

Attitudes towards the value and purpose of homework are usually reflective of the current societal stance and general sentiment towards education‭. ‬For example‭,‬‭ ‬in the 20th century the mind was seen as a muscle that would benefit from memorisation‭, and since this could be done at home‭, ‬homework was perceived as valuable‭. ‬However‭, ‬come the 1940s‭ ‬where emphasis shifted from drills to problem solving‭, ‬people started to view homework negatively‭ (‬Cooper‭, ‬1989‭).

Yet, fast forward to 1957, the year Russia launched Sputnik‭, and ‬society became concerned that students were not ready for the advanced technologies that were creeping into modern life, leading many to start favouring homework again‭.

‬Although,‭ ‬reflective of the attitudes in the 1960s, homework fell out of favour with the belief that it put too much pressure on students‭ (‬Cooper‭, ‬1989‭). ‬This is why we find ourselves encased in a spiral of ever changing attitudes towards homework which looks set to continue.

We believe that homework plays an important role in both a student’s education and the performance of the school‭. ‬Here we look at academic research‭, ‬but also take into account the opinion of leading educators who give weight to the stance that homework serves a purpose that penetrates far deeper than improving a student’s general understanding of a subject‭.‬

The Wider Purpose of Homework 

The purpose of homework can be grouped into ten strands as stated by Epstein‭ ‬&‭ ‬Van Voorhis‭ (‬1988‭, ‬2001‭, ‬p.181‭) ‬‘practice‭, ‬participation‭, ‬preparation‭, ‬personal development‭, ‬parent-child relations‭, ‬parent-teacher communication‭, ‬peer interactions‭, ‬policy‭, ‬public relations and punishment‭.‬’‭ ‬ This suggests that homework affects more areas than just a student’s academic ability‭. ‬

However‭, ‬when we look at the research that focuses on the link between homework and academic achievement we see that homework does in fact have a positive impact on students’‭ ‬ grades‭ . ‬Sharp‭ (‬2002‭) ‬states there is a direct link between students spending time on homework and their achievement in secondary school‭.

‬‬Cooper similarly found that students who completed homework had better report cards and test results than‭ ‬those who didn't (‬1989‭ ‬cited by Epstein‭ ‬&‭ ‬Van Voorhis 2001‭). ‬In a report conducted by the EEF‭, ‬they also found that the completion of homework at secondary level can add on an additional 5‭ ‬months‭ ‬progress onto a child’s learning‭ with minimal cost incurred by the school‭ (‬EEF‭, ‬2016‭). ‬

In addition to the academic findings‭, ‬teachers themselves have commented on the purpose they believe homework provides to students and schools‭. ‬Epstein‭ (‬1988‭, ‬2001‭, ‬p.181‭) ‬found that teachers recognised‭ ‬‘practice‭, ‬preparation and personal development’‭ ‬to contribute to the overall purpose of homework‭. ‬

Homework helps to " develop learners' knowledge and allow them more choice in how they express their work"

Tom Sherrington‭, ‬a Headteacher at a UK secondary school and influential education blogger‭, ‬has expressed his personal views on the value of homework‭: ‬‘Students who are successful at A Level and at GCSE are those who have highly developed independent learning skills‭, ‬have the capacity to lead the learning process through their questions and ideas’‭ (‬Sherrington 2012a‭). ‬

This suggests that even those who do not see an immediate impact from homework‭, ‬believe that it will help students’‭ ‬personal development but also prepare them for the next stages of education and beyond‭. ‬This is further supported by Sharp‭ (‬2002‭) ‬who recognised that‭, ‬despite homework not having a direct link to achievement in younger children‭, ‬it did promote independent‭ ‬learning and prepare them for secondary school‭.‬

A second UK teacher and education blogger‭, ‬Rachel Jones‭, ‬commented on what she believes to be the purpose of homework and found‭ ‬that it had a positive impact on both retention of knowledge and hand-in rates when the homework set‭ ‬was assigned with the intention to‭ ‬‘develop learners knowledge and allow them more choice in how they express their work’‭ (‬Jones 2013‭).

hbspt.cta._relativeUrls=true;hbspt.cta.load(415506, 'b8514c56-20ef-4ad1-9d3d-b45abce7b872', {"useNewLoader":"true","region":"na1"});

Parental involvement .

In addition to the correlation between completing homework and improved achievement‭, ‬homework plays a fundamental role in both home-school involvement and students’‭ ‬relationships with their parents‭. ‬A key purpose of homework outside of‭ ‬‘enhancing instruction’‭ ‬is to‭ ‬‘establish communication between parent and child’‭ (‬Acock‭ ‬&‭ ‬Demo‭, ‬1994‭ ‬cited by Cooper et al‭, ‬20016‭, ‬p.2‭). ‬

Homework acts as a bridge between school and home‭, ‬and the ability to engage parents in school life has a positive impact on teachers‭ - ‬when teachers feel as though there is more parental involvement in school they feel more positive about teaching‭ (‬Epstein‭ ‬&‭ ‬Dauber‭, ‬1991‭, ‬Hoover-Dempsey et al‭, ‬1987‭ ‬cited by Epstein‭ ‬&‭ ‬Van Voorhis‭, ‬2001‭).

‬Acock and Demo‭ (‬1994‭, ‬cited by Epstein‭ ‬&‭ ‬Van‭ ‬Voorhis 2001‭, ‬p.182‭) ‬have even stated that homework can help to improve relationships between parents and students, ‬bringing them‭ ‬‘closer together to enjoy learning and exchange ideas’‭, ‬cementing the idea that homework has greater repercussions than just raising academic achievements within school‭.‬

In addition to this‭, ‬a purpose of homework valued by both parents and teachers‭ ‬is the idea that homework completed regularly by‭ ‬students helps to promote‭ ‬‘a sense of‭ ‬responsibility’‭ (‬Warton 1997‭, ‬p.213‭). Moreover‭, ‬Sherrington‭ (‬2012b‭) ‬comments on his stance as both an educator and a parent‭ ‬saying that he firmly believes that homework has a fundamental part to play in the learning process‭ ‬‘and paving the way to students becoming independent learners’‭. ‬

Quality Homework 

Although ‬in order for homework to really show the benefits expressed in this article it must be purposeful‭ . ‬Students have expressed their‭ ‬opinion on the value of homework‭, ‬deeming it to be an important part of the learning experience‭ (‬Sharp 2002‭). ‬

Yet‭, ‬they do express concerns regarding how homework is set relating to‭ ‬‘conflicting‭ ‬deadlines‭, ‬and tasks that make little contribution to learning’‭ (‬Sharp 2002‭, ‬p.3‭). ‬In order to combat these concerns‭, ‬schools should be vetting the quality of homework set‭, ‬and teachers should be communicating with one another in reference to deadlines‭.‬

The idea of setting purposeful homework is further supported by Epstein‭ ‬&‭ ‬Van Voorhis‭ (‬2001‭, ‬p.19‭) ‬who report that those who set homework‭ ‬‘to meet specific purposes and goals‭, ‬more students complete their homework and benefit from the results’‭. ‬Additionally‭, ‬the idea of setting homework with a clear purpose further encourages parental involvement within the child’s education‭. ‬

"Quality homework types to include‭ ‬‘fluency practice‭, application‭, ‬spiral review and extension"

Purposeful homework is intrinsically linked to quality homework ‭, ‬and when teachers are setting homework the emphasis should be on this as opposed to the quantity‭. ‬In order for homework to be regarded as high quality‭, ‬the instruction provided must be clear‭ ‬and detailed‭ (‬Frey‭ ‬&‭ ‬Fisher‭, ‬2011‭), ‬and the tasks that are being set are‭ ‬‘authentic and engaging’‭ (‬Darling-Hammond‭ ‬&‭ ‬Ifill-Lynch 2006‭, ‬p.1‭) ‬providing students with a real reason to complete them‭. ‬

This is further supported by Dettmers et al‭ (‬2010‭) ‬who found that when students identified homework as being well thought out and relevant‭, ‬they were more motivated to complete it‭. ‬Frey‭ ‬&‭ ‬Fisher‭ (‬2011‭) ‬identified quality homework types to include‭ ‬‘fluency practice‭, ‬application‭, ‬spiral review and extension’‭ ‬and denounced the value of homework that asks students to complete work that was not covered in class as not valuable as they have no peer or teacher support and are unfamiliar with the topic‭. ‬

It is also important to consider the implications of focusing on the amount of homework set ‭ - ‬setting too much homework can have‭ ‬detrimental effects on students‭, ‬such as stress‭, ‬fatigue and loss of interest in studies‭ (‬Cooper‭, ‬2010‭). ‬

From this we can gather that fewer pieces of well thought out homework will have more of a positive impact on students’‭ ‬learning‭. ‬It is important for schools to monitor the amount of homework that is set‭, ‬what is being set and the frequency ‬so as to avoid‭ ‬over-working students‭ - having a homework policy which teachers adhere to will help to enforce this. 

The Overall Importance of Homework

Homework encourages self-development and self-discipline. Students who complete regular homework don't just perform better at school and during exams, they learn broader life skills and associate hard work with long term rewards. Homework has also been found to improve parental relationships.

Conclusion 

From this we can conclude‭ ‬that homework does indeed serve a purpose‭ as studies provide a link between homework and higher‭ ‬secondary school attainment‭. ‬Yet despite a lack of research to suggest these effects in primary school and younger years‭, ‬homework will help to prepare students younger than 11 for secondary school and encourages them to become independent learners‭. ‬

The setting and completion of homework also has benefits outside of academic attainment with parent-child relationship and home-school involvement both improving within schools as a result of successful homework practice.

However, it must be taken into consideration that in order to experience the benefits of homework, the work being set should have a clear goal, as well as being worthwhile and purposeful to encourage students to complete it.

References:

Cooper, H., 1989. Synthesis of Research on Homework. Effective Schools Research Abstracts [online], 4 (1), 85-91

Cooper, H., 2010. Homework’s Diminishing Returns. The New York Times [online], 12 December 2010. Available from: http://www.nytimes.com/roomfordebate/2010/12/12/stress-and-the-high-school-student/homeworks-diminishing-returns [Accessed 1 July 2016]

Cooper, H. and Robinson, J.C. and Patall, E.A., 2006. Does Homework Improve Academic Achievement? A synthesis of Research, 1987-2003. Review of Education Research [online], 76 (1), 1-62

Darling-Hammond, L. and Ifill-Lynch, O., 2006. If They’d Only Do Their Work! Educational Leadership [online] 63(5), 8-13, Available from: http://www.ascd.org/publications/educational-leadership/feb06/vol63/num05/If-They%27d-Only-Do-Their-Work!.aspx [Accessed 1 July 2016]

Dettmers, S at al., 2010. Journal of Educational Psychology. Homework works if homework quality is high: Using multilevel modeling to predict development of achievement in mathematics. [online], 102(2), 467-482. Available from: http://psycnet.apa.org/journals/edu/102/2/467/ [Accessed 1 July 2016]

EEF, 2016. Teaching and Learning Toolkit [online] London. Available from: https://educationendowmentfoundation.org.uk/evidence/teaching-learning-toolkit [Accessed 1 July 2016]

Epstein, L.J. and Van Voorhis, F.L, 2001. More than Minutes: Teachers’ Roles in Designing Homework. Educational Psychologist [online], 36 (3), 181-193

Frey, N. and Fisher, D., 2011. High-Quality Homework [online] USA: Principal Leadership. Available from: http://fisherandfrey.com/uploads/posts/Homework_NASSP.pdf [Accessed 1 July 2016]

GOV.UK, 2015. School Inspection Handbook from 2015 [online]. England: The National Archives. Available from: https://www.gov.uk/government/publications/school-inspection-handbook-from-september-2015 [Accessed May 2016)

Jones, R., 2013. DESTROY Homework. Create Innovate Explore [online] 12 August 2013. Available from: http://createinnovateexplore.com/destroy-homework/ [Accessed May 2016]

Sharp, C., 2002. Should Schools set Homework? National Foundation for Educational Research [online], 27 (1), 1-4

Sherrington, T., 2012. Homework Matters: Great teachers set great homework. Headguruteacher [online]. 2 September 2012. Available from: https://headguruteacher.com/2012/09/02/homework-matters-great-teachers-set-great-homework/ [Accessed May 2016]

Sherrington, T., 2012. Homework: What does the Hattie research actually say? Headguruteacher [online] 21 October 2012. Available from: https://headguruteacher.com/2012/10/21/homework-what-does-the-hattie-research-actually-say/ [Accessed May 2016]

Warton, P.M. 1997. Learning about responsibility: Lessons from homework. British Journal of Educational  Psychology [online], 67(2), pp. 213–221

Get a roundup of our articles once per month.

Subscribe to Email Updates

Recent posts

Can ai be used for curric..., let's talk about homework..., should we be worried abou..., using character education..., popular posts, what is behaviourism, how has technology changed education for schools, the impact of effective classroom management.

• Homework (22)
• Teacher Wellbeing (21)
• Student Wellbeing (20)
• Distance Learning (15)
• Classroom Management (14)
• Mental Health (13)
• Ofsted (12)
• Wellbeing (12)
• Skills (11)
• Teacher Workload (11)
• Parental Engagement (10)
• Satchel One MIS (10)
• Staff Wellbeing (10)
• Teachers (10)
• School Culture (9)
• Behaviour Management (8)
• School Improvement (8)
• School Management (8)
• Teacher Resources (8)
• Back to School (7)
• Parental Involvement (7)
• Parents (7)
• Pedagogy (7)
• Student & Parent Resources (7)
• Students (7)
• Assessment (6)
• Cloud-based MIS (6)
• Covid-19 (6)
• Guest Blog (6)
• Leadership (6)
• Online Safety (6)
• Technology (6)
• Bullying (5)
• Digital Literacy (5)
• Marking (5)
• Ofsted framework (5)
• School Closures (5)
• Lesson Plans (4)
• Network Managers (4)
• Revision (4)
• Teacher (4)
• Teaching (4)
• Attendance (3)
• Autonomy (3)
• Data Management (3)
• Education Reform (3)
• Education Technology (3)
• Feedback (3)
• Gender Equality (3)
• Network Manager Resources (3)
• SLT Resources (3)
• School Technology (3)
• Student Engagement (3)
• Students & Parents (3)
• Summer Holidays (3)
• Articles (2)
• Attainment 8 and Progress 8 (2)
• Autonomous Learning (2)
• Children (2)
• Classroom (2)
• Classroom Techniques (2)
• Communication (2)
• Differentiated Homework (2)
• Education (2)
• Education Technolgy (2)
• Embracing Technology (2)
• Exam Results (2)
• Grading (2)
• Home-school Communication (2)
• Homework Debate (2)
• Homework Policy (2)
• Raising Standards (2)
• Reading (2)
• Reducing Workload (2)
• Saving Time (2)
• School Marketing (2)
• School Reopenings (2)
• Security (2)
• Sidekick (2)
• Software Training (2)
• Strategy (2)
• Teaching Crisis (2)
• Teaching and Learning (2)
• Time Management (2)
• Time-saving (2)
• Tips & Tricks (2)
• Workload (2)
• Abuse in the Classroom (1)
• Anti-bullying (1)
• Appreciation (1)
• Attainment 8 (1)
• Benefits of Homework (1)
• Body Image (1)
• British Values (1)
• Career Advice (1)
• Character Education (1)
• Collaboration (1)
• Collaborative Learning (1)
• Continuing Professional Development (1)
• Conversation (1)
• Cost of living (1)
• Cyber-bullying (1)
• Cyberbullying (1)
• Damian Hinds (1)
• Digital Classroom (1)
• Dyslexia Awareness (1)
• E Learning (1)
• Eating Disorders (1)
• Education Secretary (1)
• Empathy (1)
• Exam-ready (1)
• Flipped Classroom (1)
• Formative Assessment (1)
• Girls in STEM (1)
• Global Education (1)
• Global Learning (1)
• Government (1)
• Healthy Eating (1)
• Homework Excuses (1)
• Inspire (1)
• International Learning (1)
• Internet Access (1)
• Interventions (1)
• Job Satisfaction (1)
• Language (1)
• Lead by Example (1)
• Learning Environment (1)
• Manager (1)
• National Curriculum (1)
• Outstanding (1)
• Parent Tips for Homework (1)
• Parent-teacher Relationships (1)
• Parents Evening (1)
• Phased Reopenings (1)
• Physical Health (1)
• Planning (1)
• Preparation (1)
• Productivity (1)
• Progress 8 (1)
• Quality Assurance (1)
• Recognition (1)
• Safeguarding (1)
• School Improvements (1)
• Schools (1)
• Secondary School (1)
• Senior Leaders (1)
• Sharing (1)
• Sharing Best Practice (1)
• Show My Homework (1)
• Slow Processing (1)
• Social Media (1)
• Soft Skills (1)
• Software (1)
• Student (1)
• Student Independence (1)
• Summative Assessment (1)
• Super Union (1)
• Support (1)
• Teaching Schools (1)
• Technology in the classroom (1)
• Tracking & Monitoring (1)
• Training (1)
• Truancy (1)
• Year 6 SATs (1)
• example (1)
• first day of school (1)
• gained time (1)
• homework benefits (1)
• influence (1)
• ofsted inspections (1)
• practice (1)
• quiz creation (1)
• raising awareness (1)
• satchel (1)
• school involvement (1)
• well-balanced education (1)

FREE quiz tool

Browse through over 500k questions created by teachers on Neeto , create a quiz and share back to Satchel One. It's free!

Should Kids Get Homework?

Homework gives elementary students a way to practice concepts, but too much can be harmful, experts say.

Getty Images

Effective homework reinforces math, reading, writing or spelling skills, but in a way that's meaningful.

How much homework students should get has long been a source of debate among parents and educators. In recent years, some districts have even implemented no-homework policies, as students juggle sports, music and other activities after school.

Parents of elementary school students, in particular, have argued that after-school hours should be spent with family or playing outside rather than completing assignments. And there is little research to show that homework improves academic achievement for elementary students.

But some experts say there's value in homework, even for younger students. When done well, it can help students practice core concepts and develop study habits and time management skills. The key to effective homework, they say, is keeping assignments related to classroom learning, and tailoring the amount by age: Many experts suggest no homework for kindergartners, and little to none in first and second grade.

Value of Homework

Homework provides a chance to solidify what is being taught in the classroom that day, week or unit. Practice matters, says Janine Bempechat, clinical professor at Boston University 's Wheelock College of Education & Human Development.

"There really is no other domain of human ability where anybody would say you don't need to practice," she adds. "We have children practicing piano and we have children going to sports practice several days a week after school. You name the domain of ability and practice is in there."

Homework is also the place where schools and families most frequently intersect.

"The children are bringing things from the school into the home," says Paula S. Fass, professor emerita of history at the University of California—Berkeley and the author of "The End of American Childhood." "Before the pandemic, (homework) was the only real sense that parents had to what was going on in schools."

Harris Cooper, professor emeritus of psychology and neuroscience at Duke University and author of "The Battle Over Homework," examined more than 60 research studies on homework between 1987 and 2003 and found that — when designed properly — homework can lead to greater student success. Too much, however, is harmful. And homework has a greater positive effect on students in secondary school (grades 7-12) than those in elementary.

"Every child should be doing homework, but the amount and type that they're doing should be appropriate for their developmental level," he says. "For teachers, it's a balancing act. Doing away with homework completely is not in the best interest of children and families. But overburdening families with homework is also not in the child's or a family's best interest."

Negative Homework Assignments

Not all homework for elementary students involves completing a worksheet. Assignments can be fun, says Cooper, like having students visit educational locations, keep statistics on their favorite sports teams, read for pleasure or even help their parents grocery shop. The point is to show students that activities done outside of school can relate to subjects learned in the classroom.

But assignments that are just busy work, that force students to learn new concepts at home, or that are overly time-consuming can be counterproductive, experts say.

Homework that's just busy work.

Effective homework reinforces math, reading, writing or spelling skills, but in a way that's meaningful, experts say. Assignments that look more like busy work – projects or worksheets that don't require teacher feedback and aren't related to topics learned in the classroom – can be frustrating for students and create burdens for families.

"The mental health piece has definitely played a role here over the last couple of years during the COVID-19 pandemic, and the last thing we want to do is frustrate students with busy work or homework that makes no sense," says Dave Steckler, principal of Red Trail Elementary School in Mandan, North Dakota.

Homework on material that kids haven't learned yet.

With the pressure to cover all topics on standardized tests and limited time during the school day, some teachers assign homework that has not yet been taught in the classroom.

Not only does this create stress, but it also causes equity challenges. Some parents speak languages other than English or work several jobs, and they aren't able to help teach their children new concepts.

" It just becomes agony for both parents and the kids to get through this worksheet, and the goal becomes getting to the bottom of (the) worksheet with answers filled in without any understanding of what any of it matters for," says professor Susan R. Goldman, co-director of the Learning Sciences Research Institute at the University of Illinois—Chicago .

Homework that's overly time-consuming.

The standard homework guideline recommended by the National Parent Teacher Association and the National Education Association is the "10-minute rule" – 10 minutes of nightly homework per grade level. A fourth grader, for instance, would receive a total of 40 minutes of homework per night.

But this does not always happen, especially since not every student learns the same. A 2015 study published in the American Journal of Family Therapy found that primary school children actually received three times the recommended amount of homework — and that family stress increased along with the homework load.

Young children can only remain attentive for short periods, so large amounts of homework, especially lengthy projects, can negatively affect students' views on school. Some individual long-term projects – like having to build a replica city, for example – typically become an assignment for parents rather than students, Fass says.

"It's one thing to assign a project like that in which several kids are working on it together," she adds. "In (that) case, the kids do normally work on it. It's another to send it home to the families, where it becomes a burden and doesn't really accomplish very much."

Private vs. Public Schools

Do private schools assign more homework than public schools? There's little research on the issue, but experts say private school parents may be more accepting of homework, seeing it as a sign of academic rigor.

Of course, not all private schools are the same – some focus on college preparation and traditional academics, while others stress alternative approaches to education.

"I think in the academically oriented private schools, there's more support for homework from parents," says Gerald K. LeTendre, chair of educational administration at Pennsylvania State University—University Park . "I don't know if there's any research to show there's more homework, but it's less of a contentious issue."

How to Address Homework Overload

First, assess if the workload takes as long as it appears. Sometimes children may start working on a homework assignment, wander away and come back later, Cooper says.

"Parents don't see it, but they know that their child has started doing their homework four hours ago and still not done it," he adds. "They don't see that there are those four hours where their child was doing lots of other things. So the homework assignment itself actually is not four hours long. It's the way the child is approaching it."

But if homework is becoming stressful or workload is excessive, experts suggest parents first approach the teacher, followed by a school administrator.

"Many times, we can solve a lot of issues by having conversations," Steckler says, including by "sitting down, talking about the amount of homework, and what's appropriate and not appropriate."

Study Tips for High School Students

Tags: K-12 education , students , elementary school , children

2024 Best Colleges

Search for your perfect fit with the U.S. News rankings of colleges and universities.

• Our Mission

What’s the Right Amount of Homework?

Decades of research show that homework has some benefits, especially for students in middle and high school—but there are risks to assigning too much.

Many teachers and parents believe that homework helps students build study skills and review concepts learned in class. Others see homework as disruptive and unnecessary, leading to burnout and turning kids off to school. Decades of research show that the issue is more nuanced and complex than most people think: Homework is beneficial, but only to a degree. Students in high school gain the most, while younger kids benefit much less.

The National PTA and the National Education Association support the “ 10-minute homework guideline ”—a nightly 10 minutes of homework per grade level. But many teachers and parents are quick to point out that what matters is the quality of the homework assigned and how well it meets students’ needs, not the amount of time spent on it.

The guideline doesn’t account for students who may need to spend more—or less—time on assignments. In class, teachers can make adjustments to support struggling students, but at home, an assignment that takes one student 30 minutes to complete may take another twice as much time—often for reasons beyond their control. And homework can widen the achievement gap, putting students from low-income households and students with learning disabilities at a disadvantage.

However, the 10-minute guideline is useful in setting a limit: When kids spend too much time on homework, there are real consequences to consider.

Small Benefits for Elementary Students

As young children begin school, the focus should be on cultivating a love of learning, and assigning too much homework can undermine that goal. And young students often don’t have the study skills to benefit fully from homework, so it may be a poor use of time (Cooper, 1989 ; Cooper et al., 2006 ; Marzano & Pickering, 2007 ). A more effective activity may be nightly reading, especially if parents are involved. The benefits of reading are clear: If students aren’t proficient readers by the end of third grade, they’re less likely to succeed academically and graduate from high school (Fiester, 2013 ).

For second-grade teacher Jacqueline Fiorentino, the minor benefits of homework did not outweigh the potential drawback of turning young children against school at an early age, so she experimented with dropping mandatory homework. “Something surprising happened: They started doing more work at home,” Fiorentino writes . “This inspiring group of 8-year-olds used their newfound free time to explore subjects and topics of interest to them.” She encouraged her students to read at home and offered optional homework to extend classroom lessons and help them review material.

Moderate Benefits for Middle School Students

As students mature and develop the study skills necessary to delve deeply into a topic—and to retain what they learn—they also benefit more from homework. Nightly assignments can help prepare them for scholarly work, and research shows that homework can have moderate benefits for middle school students (Cooper et al., 2006 ). Recent research also shows that online math homework, which can be designed to adapt to students’ levels of understanding, can significantly boost test scores (Roschelle et al., 2016 ).

There are risks to assigning too much, however: A 2015 study found that when middle school students were assigned more than 90 to 100 minutes of daily homework, their math and science test scores began to decline (Fernández-Alonso, Suárez-Álvarez, & Muñiz, 2015 ). Crossing that upper limit can drain student motivation and focus. The researchers recommend that “homework should present a certain level of challenge or difficulty, without being so challenging that it discourages effort.” Teachers should avoid low-effort, repetitive assignments, and assign homework “with the aim of instilling work habits and promoting autonomous, self-directed learning.”

In other words, it’s the quality of homework that matters, not the quantity. Brian Sztabnik, a veteran middle and high school English teacher, suggests that teachers take a step back and ask themselves these five questions :

• How long will it take to complete?
• Have all learners been considered?
• Will an assignment encourage future success?
• Will an assignment place material in a context the classroom cannot?
• Does an assignment offer support when a teacher is not there?

More Benefits for High School Students, but Risks as Well

By the time they reach high school, students should be well on their way to becoming independent learners, so homework does provide a boost to learning at this age, as long as it isn’t overwhelming (Cooper et al., 2006 ; Marzano & Pickering, 2007 ). When students spend too much time on homework—more than two hours each night—it takes up valuable time to rest and spend time with family and friends. A 2013 study found that high school students can experience serious mental and physical health problems, from higher stress levels to sleep deprivation, when assigned too much homework (Galloway, Conner, & Pope, 2013 ).

Homework in high school should always relate to the lesson and be doable without any assistance, and feedback should be clear and explicit.

Teachers should also keep in mind that not all students have equal opportunities to finish their homework at home, so incomplete homework may not be a true reflection of their learning—it may be more a result of issues they face outside of school. They may be hindered by issues such as lack of a quiet space at home, resources such as a computer or broadband connectivity, or parental support (OECD, 2014 ). In such cases, giving low homework scores may be unfair.

Since the quantities of time discussed here are totals, teachers in middle and high school should be aware of how much homework other teachers are assigning. It may seem reasonable to assign 30 minutes of daily homework, but across six subjects, that’s three hours—far above a reasonable amount even for a high school senior. Psychologist Maurice Elias sees this as a common mistake: Individual teachers create homework policies that in aggregate can overwhelm students. He suggests that teachers work together to develop a school-wide homework policy and make it a key topic of back-to-school night and the first parent-teacher conferences of the school year.

Parents Play a Key Role

Homework can be a powerful tool to help parents become more involved in their child’s learning (Walker et al., 2004 ). It can provide insights into a child’s strengths and interests, and can also encourage conversations about a child’s life at school. If a parent has positive attitudes toward homework, their children are more likely to share those same values, promoting academic success.

But it’s also possible for parents to be overbearing, putting too much emphasis on test scores or grades, which can be disruptive for children (Madjar, Shklar, & Moshe, 2015 ). Parents should avoid being overly intrusive or controlling—students report feeling less motivated to learn when they don’t have enough space and autonomy to do their homework (Orkin, May, & Wolf, 2017 ; Patall, Cooper, & Robinson, 2008 ; Silinskas & Kikas, 2017 ). So while homework can encourage parents to be more involved with their kids, it’s important to not make it a source of conflict.

A systematic literature review of empirical research on ChatGPT in education

• Open access
• Published: 26 May 2024
• Volume 3 , article number  60 , ( 2024 )

Cite this article

You have full access to this open access article

• Yazid Albadarin   ORCID: orcid.org/0009-0005-8068-8902 1 ,
• Mohammed Saqr 1 ,
• Nicolas Pope 1 &
• Markku Tukiainen 1  

Over the last four decades, studies have investigated the incorporation of Artificial Intelligence (AI) into education. A recent prominent AI-powered technology that has impacted the education sector is ChatGPT. This article provides a systematic review of 14 empirical studies incorporating ChatGPT into various educational settings, published in 2022 and before the 10th of April 2023—the date of conducting the search process. It carefully followed the essential steps outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) guidelines, as well as Okoli’s (Okoli in Commun Assoc Inf Syst, 2015) steps for conducting a rigorous and transparent systematic review. In this review, we aimed to explore how students and teachers have utilized ChatGPT in various educational settings, as well as the primary findings of those studies. By employing Creswell’s (Creswell in Educational research: planning, conducting, and evaluating quantitative and qualitative research [Ebook], Pearson Education, London, 2015) coding techniques for data extraction and interpretation, we sought to gain insight into their initial attempts at ChatGPT incorporation into education. This approach also enabled us to extract insights and considerations that can facilitate its effective and responsible use in future educational contexts. The results of this review show that learners have utilized ChatGPT as a virtual intelligent assistant, where it offered instant feedback, on-demand answers, and explanations of complex topics. Additionally, learners have used it to enhance their writing and language skills by generating ideas, composing essays, summarizing, translating, paraphrasing texts, or checking grammar. Moreover, learners turned to it as an aiding tool to facilitate their directed and personalized learning by assisting in understanding concepts and homework, providing structured learning plans, and clarifying assignments and tasks. However, the results of specific studies (n = 3, 21.4%) show that overuse of ChatGPT may negatively impact innovative capacities and collaborative learning competencies among learners. Educators, on the other hand, have utilized ChatGPT to create lesson plans, generate quizzes, and provide additional resources, which helped them enhance their productivity and efficiency and promote different teaching methodologies. Despite these benefits, the majority of the reviewed studies recommend the importance of conducting structured training, support, and clear guidelines for both learners and educators to mitigate the drawbacks. This includes developing critical evaluation skills to assess the accuracy and relevance of information provided by ChatGPT, as well as strategies for integrating human interaction and collaboration into learning activities that involve AI tools. Furthermore, they also recommend ongoing research and proactive dialogue with policymakers, stakeholders, and educational practitioners to refine and enhance the use of AI in learning environments. This review could serve as an insightful resource for practitioners who seek to integrate ChatGPT into education and stimulate further research in the field.

Avoid common mistakes on your manuscript.

1 Introduction

Educational technology, a rapidly evolving field, plays a crucial role in reshaping the landscape of teaching and learning [ 82 ]. One of the most transformative technological innovations of our era that has influenced the field of education is Artificial Intelligence (AI) [ 50 ]. Over the last four decades, AI in education (AIEd) has gained remarkable attention for its potential to make significant advancements in learning, instructional methods, and administrative tasks within educational settings [ 11 ]. In particular, a large language model (LLM), a type of AI algorithm that applies artificial neural networks (ANNs) and uses massively large data sets to understand, summarize, generate, and predict new content that is almost difficult to differentiate from human creations [ 79 ], has opened up novel possibilities for enhancing various aspects of education, from content creation to personalized instruction [ 35 ]. Chatbots that leverage the capabilities of LLMs to understand and generate human-like responses have also presented the capacity to enhance student learning and educational outcomes by engaging students, offering timely support, and fostering interactive learning experiences [ 46 ].

The ongoing and remarkable technological advancements in chatbots have made their use more convenient, increasingly natural and effortless, and have expanded their potential for deployment across various domains [ 70 ]. One prominent example of chatbot applications is the Chat Generative Pre-Trained Transformer, known as ChatGPT, which was introduced by OpenAI, a leading AI research lab, on November 30th, 2022. ChatGPT employs a variety of deep learning techniques to generate human-like text, with a particular focus on recurrent neural networks (RNNs). Long short-term memory (LSTM) allows it to grasp the context of the text being processed and retain information from previous inputs. Also, the transformer architecture, a neural network architecture based on the self-attention mechanism, allows it to analyze specific parts of the input, thereby enabling it to produce more natural-sounding and coherent output. Additionally, the unsupervised generative pre-training and the fine-tuning methods allow ChatGPT to generate more relevant and accurate text for specific tasks [ 31 , 62 ]. Furthermore, reinforcement learning from human feedback (RLHF), a machine learning approach that combines reinforcement learning techniques with human-provided feedback, has helped improve ChatGPT’s model by accelerating the learning process and making it significantly more efficient.

This cutting-edge natural language processing (NLP) tool is widely recognized as one of today's most advanced LLMs-based chatbots [ 70 ], allowing users to ask questions and receive detailed, coherent, systematic, personalized, convincing, and informative human-like responses [ 55 ], even within complex and ambiguous contexts [ 63 , 77 ]. ChatGPT is considered the fastest-growing technology in history: in just three months following its public launch, it amassed an estimated 120 million monthly active users [ 16 ] with an estimated 13 million daily queries [ 49 ], surpassing all other applications [ 64 ]. This remarkable growth can be attributed to the unique features and user-friendly interface that ChatGPT offers. Its intuitive design allows users to interact seamlessly with the technology, making it accessible to a diverse range of individuals, regardless of their technical expertise [ 78 ]. Additionally, its exceptional performance results from a combination of advanced algorithms, continuous enhancements, and extensive training on a diverse dataset that includes various text sources such as books, articles, websites, and online forums [ 63 ], have contributed to a more engaging and satisfying user experience [ 62 ]. These factors collectively explain its remarkable global growth and set it apart from predecessors like Bard, Bing Chat, ERNIE, and others.

In this context, several studies have explored the technological advancements of chatbots. One noteworthy recent research effort, conducted by Schöbel et al. [ 70 ], stands out for its comprehensive analysis of more than 5,000 studies on communication agents. This study offered a comprehensive overview of the historical progression and future prospects of communication agents, including ChatGPT. Moreover, other studies have focused on making comparisons, particularly between ChatGPT and alternative chatbots like Bard, Bing Chat, ERNIE, LaMDA, BlenderBot, and various others. For example, O’Leary [ 53 ] compared two chatbots, LaMDA and BlenderBot, with ChatGPT and revealed that ChatGPT outperformed both. This superiority arises from ChatGPT’s capacity to handle a wider range of questions and generate slightly varied perspectives within specific contexts. Similarly, ChatGPT exhibited an impressive ability to formulate interpretable responses that were easily understood when compared with Google's feature snippet [ 34 ]. Additionally, ChatGPT was compared to other LLMs-based chatbots, including Bard and BERT, as well as ERNIE. The findings indicated that ChatGPT exhibited strong performance in the given tasks, often outperforming the other models [ 59 ].

Furthermore, in the education context, a comprehensive study systematically compared a range of the most promising chatbots, including Bard, Bing Chat, ChatGPT, and Ernie across a multidisciplinary test that required higher-order thinking. The study revealed that ChatGPT achieved the highest score, surpassing Bing Chat and Bard [ 64 ]. Similarly, a comparative analysis was conducted to compare ChatGPT with Bard in answering a set of 30 mathematical questions and logic problems, grouped into two question sets. Set (A) is unavailable online, while Set (B) is available online. The results revealed ChatGPT's superiority in Set (A) over Bard. Nevertheless, Bard's advantage emerged in Set (B) due to its capacity to access the internet directly and retrieve answers, a capability that ChatGPT does not possess [ 57 ]. However, through these varied assessments, ChatGPT consistently highlights its exceptional prowess compared to various alternatives in the ever-evolving chatbot technology.

The widespread adoption of chatbots, especially ChatGPT, by millions of students and educators, has sparked extensive discussions regarding its incorporation into the education sector [ 64 ]. Accordingly, many scholars have contributed to the discourse, expressing both optimism and pessimism regarding the incorporation of ChatGPT into education. For example, ChatGPT has been highlighted for its capabilities in enriching the learning and teaching experience through its ability to support different learning approaches, including adaptive learning, personalized learning, and self-directed learning [ 58 , 60 , 91 ]), deliver summative and formative feedback to students and provide real-time responses to questions, increase the accessibility of information [ 22 , 40 , 43 ], foster students’ performance, engagement and motivation [ 14 , 44 , 58 ], and enhance teaching practices [ 17 , 18 , 64 , 74 ].

On the other hand, concerns have been also raised regarding its potential negative effects on learning and teaching. These include the dissemination of false information and references [ 12 , 23 , 61 , 85 ], biased reinforcement [ 47 , 50 ], compromised academic integrity [ 18 , 40 , 66 , 74 ], and the potential decline in students' skills [ 43 , 61 , 64 , 74 ]. As a result, ChatGPT has been banned in multiple countries, including Russia, China, Venezuela, Belarus, and Iran, as well as in various educational institutions in India, Italy, Western Australia, France, and the United States [ 52 , 90 ].

Clearly, the advent of chatbots, especially ChatGPT, has provoked significant controversy due to their potential impact on learning and teaching. This indicates the necessity for further exploration to gain a deeper understanding of this technology and carefully evaluate its potential benefits, limitations, challenges, and threats to education [ 79 ]. Therefore, conducting a systematic literature review will provide valuable insights into the potential prospects and obstacles linked to its incorporation into education. This systematic literature review will primarily focus on ChatGPT, driven by the aforementioned key factors outlined above.

However, the existing literature lacks a systematic literature review of empirical studies. Thus, this systematic literature review aims to address this gap by synthesizing the existing empirical studies conducted on chatbots, particularly ChatGPT, in the field of education, highlighting how ChatGPT has been utilized in educational settings, and identifying any existing gaps. This review may be particularly useful for researchers in the field and educators who are contemplating the integration of ChatGPT or any chatbot into education. The following research questions will guide this study:

What are students' and teachers' initial attempts at utilizing ChatGPT in education?

What are the main findings derived from empirical studies that have incorporated ChatGPT into learning and teaching?

2 Methodology

To conduct this study, the authors followed the essential steps of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) and Okoli’s [ 54 ] steps for conducting a systematic review. These included identifying the study’s purpose, drafting a protocol, applying a practical screening process, searching the literature, extracting relevant data, evaluating the quality of the included studies, synthesizing the studies, and ultimately writing the review. The subsequent section provides an extensive explanation of how these steps were carried out in this study.

2.1 Identify the purpose

Given the widespread adoption of ChatGPT by students and teachers for various educational purposes, often without a thorough understanding of responsible and effective use or a clear recognition of its potential impact on learning and teaching, the authors recognized the need for further exploration of ChatGPT's impact on education in this early stage. Therefore, they have chosen to conduct a systematic literature review of existing empirical studies that incorporate ChatGPT into educational settings. Despite the limited number of empirical studies due to the novelty of the topic, their goal is to gain a deeper understanding of this technology and proactively evaluate its potential benefits, limitations, challenges, and threats to education. This effort could help to understand initial reactions and attempts at incorporating ChatGPT into education and bring out insights and considerations that can inform the future development of education.

2.2 Draft the protocol

The next step is formulating the protocol. This protocol serves to outline the study process in a rigorous and transparent manner, mitigating researcher bias in study selection and data extraction [ 88 ]. The protocol will include the following steps: generating the research question, predefining a literature search strategy, identifying search locations, establishing selection criteria, assessing the studies, developing a data extraction strategy, and creating a timeline.

2.3 Apply practical screen

The screening step aims to accurately filter the articles resulting from the searching step and select the empirical studies that have incorporated ChatGPT into educational contexts, which will guide us in answering the research questions and achieving the objectives of this study. To ensure the rigorous execution of this step, our inclusion and exclusion criteria were determined based on the authors' experience and informed by previous successful systematic reviews [ 21 ]. Table 1 summarizes the inclusion and exclusion criteria for study selection.

2.4 Literature search

We conducted a thorough literature search to identify articles that explored, examined, and addressed the use of ChatGPT in Educational contexts. We utilized two research databases: Dimensions.ai, which provides access to a large number of research publications, and lens.org, which offers access to over 300 million articles, patents, and other research outputs from diverse sources. Additionally, we included three databases, Scopus, Web of Knowledge, and ERIC, which contain relevant research on the topic that addresses our research questions. To browse and identify relevant articles, we used the following search formula: ("ChatGPT" AND "Education"), which included the Boolean operator "AND" to get more specific results. The subject area in the Scopus and ERIC databases were narrowed to "ChatGPT" and "Education" keywords, and in the WoS database was limited to the "Education" category. The search was conducted between the 3rd and 10th of April 2023, which resulted in 276 articles from all selected databases (111 articles from Dimensions.ai, 65 from Scopus, 28 from Web of Science, 14 from ERIC, and 58 from Lens.org). These articles were imported into the Rayyan web-based system for analysis. The duplicates were identified automatically by the system. Subsequently, the first author manually reviewed the duplicated articles ensured that they had the same content, and then removed them, leaving us with 135 unique articles. Afterward, the titles, abstracts, and keywords of the first 40 manuscripts were scanned and reviewed by the first author and were discussed with the second and third authors to resolve any disagreements. Subsequently, the first author proceeded with the filtering process for all articles and carefully applied the inclusion and exclusion criteria as presented in Table  1 . Articles that met any one of the exclusion criteria were eliminated, resulting in 26 articles. Afterward, the authors met to carefully scan and discuss them. The authors agreed to eliminate any empirical studies solely focused on checking ChatGPT capabilities, as these studies do not guide us in addressing the research questions and achieving the study's objectives. This resulted in 14 articles eligible for analysis.

2.5 Quality appraisal

The examination and evaluation of the quality of the extracted articles is a vital step [ 9 ]. Therefore, the extracted articles were carefully evaluated for quality using Fink’s [ 24 ] standards, which emphasize the necessity for detailed descriptions of methodology, results, conclusions, strengths, and limitations. The process began with a thorough assessment of each study's design, data collection, and analysis methods to ensure their appropriateness and comprehensive execution. The clarity, consistency, and logical progression from data to results and conclusions were also critically examined. Potential biases and recognized limitations within the studies were also scrutinized. Ultimately, two articles were excluded for failing to meet Fink’s criteria, particularly in providing sufficient detail on methodology, results, conclusions, strengths, or limitations. The review process is illustrated in Fig.  1 .

The study selection process

2.6 Data extraction

The next step is data extraction, the process of capturing the key information and categories from the included studies. To improve efficiency, reduce variation among authors, and minimize errors in data analysis, the coding categories were constructed using Creswell's [ 15 ] coding techniques for data extraction and interpretation. The coding process involves three sequential steps. The initial stage encompasses open coding , where the researcher examines the data, generates codes to describe and categorize it, and gains a deeper understanding without preconceived ideas. Following open coding is axial coding , where the interrelationships between codes from open coding are analyzed to establish more comprehensive categories or themes. The process concludes with selective coding , refining and integrating categories or themes to identify core concepts emerging from the data. The first coder performed the coding process, then engaged in discussions with the second and third authors to finalize the coding categories for the first five articles. The first coder then proceeded to code all studies and engaged again in discussions with the other authors to ensure the finalization of the coding process. After a comprehensive analysis and capturing of the key information from the included studies, the data extraction and interpretation process yielded several themes. These themes have been categorized and are presented in Table  2 . It is important to note that open coding results were removed from Table  2 for aesthetic reasons, as it included many generic aspects, such as words, short phrases, or sentences mentioned in the studies.

2.7 Synthesize studies

In this stage, we will gather, discuss, and analyze the key findings that emerged from the selected studies. The synthesis stage is considered a transition from an author-centric to a concept-centric focus, enabling us to map all the provided information to achieve the most effective evaluation of the data [ 87 ]. Initially, the authors extracted data that included general information about the selected studies, including the author(s)' names, study titles, years of publication, educational levels, research methodologies, sample sizes, participants, main aims or objectives, raw data sources, and analysis methods. Following that, all key information and significant results from the selected studies were compiled using Creswell’s [ 15 ] coding techniques for data extraction and interpretation to identify core concepts and themes emerging from the data, focusing on those that directly contributed to our research questions and objectives, such as the initial utilization of ChatGPT in learning and teaching, learners' and educators' familiarity with ChatGPT, and the main findings of each study. Finally, the data related to each selected study were extracted into an Excel spreadsheet for data processing. The Excel spreadsheet was reviewed by the authors, including a series of discussions to ensure the finalization of this process and prepare it for further analysis. Afterward, the final result being analyzed and presented in various types of charts and graphs. Table 4 presents the extracted data from the selected studies, with each study labeled with a capital 'S' followed by a number.

This section consists of two main parts. The first part provides a descriptive analysis of the data compiled from the reviewed studies. The second part presents the answers to the research questions and the main findings of these studies.

3.1 Part 1: descriptive analysis

This section will provide a descriptive analysis of the reviewed studies, including educational levels and fields, participants distribution, country contribution, research methodologies, study sample size, study population, publication year, list of journals, familiarity with ChatGPT, source of data, and the main aims and objectives of the studies. Table 4 presents a comprehensive overview of the extracted data from the selected studies.

3.1.1 The number of the reviewed studies and publication years

The total number of the reviewed studies was 14. All studies were empirical studies and published in different journals focusing on Education and Technology. One study was published in 2022 [S1], while the remaining were published in 2023 [S2]-[S14]. Table 3 illustrates the year of publication, the names of the journals, and the number of reviewed studies published in each journal for the studies reviewed.

3.1.2 Educational levels and fields

The majority of the reviewed studies, 11 studies, were conducted in higher education institutions [S1]-[S10] and [S13]. Two studies did not specify the educational level of the population [S12] and [S14], while one study focused on elementary education [S11]. However, the reviewed studies covered various fields of education. Three studies focused on Arts and Humanities Education [S8], [S11], and [S14], specifically English Education. Two studies focused on Engineering Education, with one in Computer Engineering [S2] and the other in Construction Education [S3]. Two studies focused on Mathematics Education [S5] and [S12]. One study focused on Social Science Education [S13]. One study focused on Early Education [S4]. One study focused on Journalism Education [S9]. Finally, three studies did not specify the field of education [S1], [S6], and [S7]. Figure  2 represents the educational levels in the reviewed studies, while Fig.  3 represents the context of the reviewed studies.

Educational levels in the reviewed studies

Context of the reviewed studies

3.1.3 Participants distribution and countries contribution

The reviewed studies have been conducted across different geographic regions, providing a diverse representation of the studies. The majority of the studies, 10 in total, [S1]-[S3], [S5]-[S9], [S11], and [S14], primarily focused on participants from single countries such as Pakistan, the United Arab Emirates, China, Indonesia, Poland, Saudi Arabia, South Korea, Spain, Tajikistan, and the United States. In contrast, four studies, [S4], [S10], [S12], and [S13], involved participants from multiple countries, including China and the United States [S4], China, the United Kingdom, and the United States [S10], the United Arab Emirates, Oman, Saudi Arabia, and Jordan [S12], Turkey, Sweden, Canada, and Australia [ 13 ]. Figures  4 and 5 illustrate the distribution of participants, whether from single or multiple countries, and the contribution of each country in the reviewed studies, respectively.

The reviewed studies conducted in single or multiple countries

The Contribution of each country in the studies

3.1.4 Study population and sample size

Four study populations were included: university students, university teachers, university teachers and students, and elementary school teachers. Six studies involved university students [S2], [S3], [S5] and [S6]-[S8]. Three studies focused on university teachers [S1], [S4], and [S6], while one study specifically targeted elementary school teachers [S11]. Additionally, four studies included both university teachers and students [S10] and [ 12 , 13 , 14 ], and among them, study [S13] specifically included postgraduate students. In terms of the sample size of the reviewed studies, nine studies included a small sample size of less than 50 participants [S1], [S3], [S6], [S8], and [S10]-[S13]. Three studies had 50–100 participants [S2], [S9], and [S14]. Only one study had more than 100 participants [S7]. It is worth mentioning that study [S4] adopted a mixed methods approach, including 10 participants for qualitative analysis and 110 participants for quantitative analysis.

3.1.5 Participants’ familiarity with using ChatGPT

The reviewed studies recruited a diverse range of participants with varying levels of familiarity with ChatGPT. Five studies [S2], [S4], [S6], [S8], and [S12] involved participants already familiar with ChatGPT, while eight studies [S1], [S3], [S5], [S7], [S9], [S10], [S13] and [S14] included individuals with differing levels of familiarity. Notably, one study [S11] had participants who were entirely unfamiliar with ChatGPT. It is important to note that four studies [S3], [S5], [S9], and [S11] provided training or guidance to their participants before conducting their studies, while ten studies [S1], [S2], [S4], [S6]-[S8], [S10], and [S12]-[S14] did not provide training due to the participants' existing familiarity with ChatGPT.

3.1.6 Research methodology approaches and source(S) of data

The reviewed studies adopted various research methodology approaches. Seven studies adopted qualitative research methodology [S1], [S4], [S6], [S8], [S10], [S11], and [S12], while three studies adopted quantitative research methodology [S3], [S7], and [S14], and four studies employed mixed-methods, which involved a combination of both the strengths of qualitative and quantitative methods [S2], [S5], [S9], and [S13].

In terms of the source(s) of data, the reviewed studies obtained their data from various sources, such as interviews, questionnaires, and pre-and post-tests. Six studies relied on interviews as their primary source of data collection [S1], [S4], [S6], [S10], [S11], and [S12], four studies relied on questionnaires [S2], [S7], [S13], and [S14], two studies combined the use of pre-and post-tests and questionnaires for data collection [S3] and [S9], while two studies combined the use of questionnaires and interviews to obtain the data [S5] and [S8]. It is important to note that six of the reviewed studies were quasi-experimental [S3], [S5], [S8], [S9], [S12], and [S14], while the remaining ones were experimental studies [S1], [S2], [S4], [S6], [S7], [S10], [S11], and [S13]. Figures  6 and 7 illustrate the research methodologies and the source (s) of data used in the reviewed studies, respectively.

Research methodologies in the reviewed studies

Source of data in the reviewed studies

3.1.7 The aim and objectives of the studies

The reviewed studies encompassed a diverse set of aims, with several of them incorporating multiple primary objectives. Six studies [S3], [S6], [S7], [S8], [S11], and [S12] examined the integration of ChatGPT in educational contexts, and four studies [S4], [S5], [S13], and [S14] investigated the various implications of its use in education, while three studies [S2], [S9], and [S10] aimed to explore both its integration and implications in education. Additionally, seven studies explicitly explored attitudes and perceptions of students [S2] and [S3], educators [S1] and [S6], or both [S10], [S12], and [S13] regarding the utilization of ChatGPT in educational settings.

3.2 Part 2: research questions and main findings of the reviewed studies

This part will present the answers to the research questions and the main findings of the reviewed studies, classified into two main categories (learning and teaching) according to AI Education classification by [ 36 ]. Figure  8 summarizes the main findings of the reviewed studies in a visually informative diagram. Table 4 provides a detailed list of the key information extracted from the selected studies that led to generating these themes.

The main findings in the reviewed studies

4 Students' initial attempts at utilizing ChatGPT in learning and main findings from students' perspective

4.1 virtual intelligent assistant.

Nine studies demonstrated that ChatGPT has been utilized by students as an intelligent assistant to enhance and support their learning. Students employed it for various purposes, such as answering on-demand questions [S2]-[S5], [S8], [S10], and [S12], providing valuable information and learning resources [S2]-[S5], [S6], and [S8], as well as receiving immediate feedback [S2], [S4], [S9], [S10], and [S12]. In this regard, students generally were confident in the accuracy of ChatGPT's responses, considering them relevant, reliable, and detailed [S3], [S4], [S5], and [S8]. However, some students indicated the need for improvement, as they found that answers are not always accurate [S2], and that misleading information may have been provided or that it may not always align with their expectations [S6] and [S10]. It was also observed by the students that the accuracy of ChatGPT is dependent on several factors, including the quality and specificity of the user's input, the complexity of the question or topic, and the scope and relevance of its training data [S12]. Many students felt that ChatGPT's answers were not always accurate and most of them believed that it requires good background knowledge to work with.

4.2 Writing and language proficiency assistant

Six of the reviewed studies highlighted that ChatGPT has been utilized by students as a valuable assistant tool to improve their academic writing skills and language proficiency. Among these studies, three mainly focused on English education, demonstrating that students showed sufficient mastery in using ChatGPT for generating ideas, summarizing, paraphrasing texts, and completing writing essays [S8], [S11], and [S14]. Furthermore, ChatGPT helped them in writing by making students active investigators rather than passive knowledge recipients and facilitated the development of their writing skills [S11] and [S14]. Similarly, ChatGPT allowed students to generate unique ideas and perspectives, leading to deeper analysis and reflection on their journalism writing [S9]. In terms of language proficiency, ChatGPT allowed participants to translate content into their home languages, making it more accessible and relevant to their context [S4]. It also enabled them to request changes in linguistic tones or flavors [S8]. Moreover, participants used it to check grammar or as a dictionary [S11].

4.3 Valuable resource for learning approaches

Five studies demonstrated that students used ChatGPT as a valuable complementary resource for self-directed learning. It provided learning resources and guidance on diverse educational topics and created a supportive home learning environment [S2] and [S4]. Moreover, it offered step-by-step guidance to grasp concepts at their own pace and enhance their understanding [S5], streamlined task and project completion carried out independently [S7], provided comprehensive and easy-to-understand explanations on various subjects [S10], and assisted in studying geometry operations, thereby empowering them to explore geometry operations at their own pace [S12]. Three studies showed that students used ChatGPT as a valuable learning resource for personalized learning. It delivered age-appropriate conversations and tailored teaching based on a child's interests [S4], acted as a personalized learning assistant, adapted to their needs and pace, which assisted them in understanding mathematical concepts [S12], and enabled personalized learning experiences in social sciences by adapting to students' needs and learning styles [S13]. On the other hand, it is important to note that, according to one study [S5], students suggested that using ChatGPT may negatively affect collaborative learning competencies between students.

4.4 Enhancing students' competencies

Six of the reviewed studies have shown that ChatGPT is a valuable tool for improving a wide range of skills among students. Two studies have provided evidence that ChatGPT led to improvements in students' critical thinking, reasoning skills, and hazard recognition competencies through engaging them in interactive conversations or activities and providing responses related to their disciplines in journalism [S5] and construction education [S9]. Furthermore, two studies focused on mathematical education have shown the positive impact of ChatGPT on students' problem-solving abilities in unraveling problem-solving questions [S12] and enhancing the students' understanding of the problem-solving process [S5]. Lastly, one study indicated that ChatGPT effectively contributed to the enhancement of conversational social skills [S4].

4.5 Supporting students' academic success

Seven of the reviewed studies highlighted that students found ChatGPT to be beneficial for learning as it enhanced learning efficiency and improved the learning experience. It has been observed to improve students' efficiency in computer engineering studies by providing well-structured responses and good explanations [S2]. Additionally, students found it extremely useful for hazard reporting [S3], and it also enhanced their efficiency in solving mathematics problems and capabilities [S5] and [S12]. Furthermore, by finding information, generating ideas, translating texts, and providing alternative questions, ChatGPT aided students in deepening their understanding of various subjects [S6]. It contributed to an increase in students' overall productivity [S7] and improved efficiency in composing written tasks [S8]. Regarding learning experiences, ChatGPT was instrumental in assisting students in identifying hazards that they might have otherwise overlooked [S3]. It also improved students' learning experiences in solving mathematics problems and developing abilities [S5] and [S12]. Moreover, it increased students' successful completion of important tasks in their studies [S7], particularly those involving average difficulty writing tasks [S8]. Additionally, ChatGPT increased the chances of educational success by providing students with baseline knowledge on various topics [S10].

5 Teachers' initial attempts at utilizing ChatGPT in teaching and main findings from teachers' perspective

5.1 valuable resource for teaching.

The reviewed studies showed that teachers have employed ChatGPT to recommend, modify, and generate diverse, creative, organized, and engaging educational contents, teaching materials, and testing resources more rapidly [S4], [S6], [S10] and [S11]. Additionally, teachers experienced increased productivity as ChatGPT facilitated quick and accurate responses to questions, fact-checking, and information searches [S1]. It also proved valuable in constructing new knowledge [S6] and providing timely answers to students' questions in classrooms [S11]. Moreover, ChatGPT enhanced teachers' efficiency by generating new ideas for activities and preplanning activities for their students [S4] and [S6], including interactive language game partners [S11].

5.2 Improving productivity and efficiency

The reviewed studies showed that participants' productivity and work efficiency have been significantly enhanced by using ChatGPT as it enabled them to allocate more time to other tasks and reduce their overall workloads [S6], [S10], [S11], [S13], and [S14]. However, three studies [S1], [S4], and [S11], indicated a negative perception and attitude among teachers toward using ChatGPT. This negativity stemmed from a lack of necessary skills to use it effectively [S1], a limited familiarity with it [S4], and occasional inaccuracies in the content provided by it [S10].

5.3 Catalyzing new teaching methodologies

Five of the reviewed studies highlighted that educators found the necessity of redefining their teaching profession with the assistance of ChatGPT [S11], developing new effective learning strategies [S4], and adapting teaching strategies and methodologies to ensure the development of essential skills for future engineers [S5]. They also emphasized the importance of adopting new educational philosophies and approaches that can evolve with the introduction of ChatGPT into the classroom [S12]. Furthermore, updating curricula to focus on improving human-specific features, such as emotional intelligence, creativity, and philosophical perspectives [S13], was found to be essential.

5.4 Effective utilization of CHATGPT in teaching

According to the reviewed studies, effective utilization of ChatGPT in education requires providing teachers with well-structured training, support, and adequate background on how to use ChatGPT responsibly [S1], [S3], [S11], and [S12]. Establishing clear rules and regulations regarding its usage is essential to ensure it positively impacts the teaching and learning processes, including students' skills [S1], [S4], [S5], [S8], [S9], and [S11]-[S14]. Moreover, conducting further research and engaging in discussions with policymakers and stakeholders is indeed crucial for the successful integration of ChatGPT in education and to maximize the benefits for both educators and students [S1], [S6]-[S10], and [S12]-[S14].

6 Discussion

The purpose of this review is to conduct a systematic review of empirical studies that have explored the utilization of ChatGPT, one of today’s most advanced LLM-based chatbots, in education. The findings of the reviewed studies showed several ways of ChatGPT utilization in different learning and teaching practices as well as it provided insights and considerations that can facilitate its effective and responsible use in future educational contexts. The results of the reviewed studies came from diverse fields of education, which helped us avoid a biased review that is limited to a specific field. Similarly, the reviewed studies have been conducted across different geographic regions. This kind of variety in geographic representation enriched the findings of this review.

In response to RQ1 , "What are students' and teachers' initial attempts at utilizing ChatGPT in education?", the findings from this review provide comprehensive insights. Chatbots, including ChatGPT, play a crucial role in supporting student learning, enhancing their learning experiences, and facilitating diverse learning approaches [ 42 , 43 ]. This review found that this tool, ChatGPT, has been instrumental in enhancing students' learning experiences by serving as a virtual intelligent assistant, providing immediate feedback, on-demand answers, and engaging in educational conversations. Additionally, students have benefited from ChatGPT’s ability to generate ideas, compose essays, and perform tasks like summarizing, translating, paraphrasing texts, or checking grammar, thereby enhancing their writing and language competencies. Furthermore, students have turned to ChatGPT for assistance in understanding concepts and homework, providing structured learning plans, and clarifying assignments and tasks, which fosters a supportive home learning environment, allowing them to take responsibility for their own learning and cultivate the skills and approaches essential for supportive home learning environment [ 26 , 27 , 28 ]. This finding aligns with the study of Saqr et al. [ 68 , 69 ] who highlighted that, when students actively engage in their own learning process, it yields additional advantages, such as heightened motivation, enhanced achievement, and the cultivation of enthusiasm, turning them into advocates for their own learning.

Moreover, students have utilized ChatGPT for tailored teaching and step-by-step guidance on diverse educational topics, streamlining task and project completion, and generating and recommending educational content. This personalization enhances the learning environment, leading to increased academic success. This finding aligns with other recent studies [ 26 , 27 , 28 , 60 , 66 ] which revealed that ChatGPT has the potential to offer personalized learning experiences and support an effective learning process by providing students with customized feedback and explanations tailored to their needs and abilities. Ultimately, fostering students' performance, engagement, and motivation, leading to increase students' academic success [ 14 , 44 , 58 ]. This ultimate outcome is in line with the findings of Saqr et al. [ 68 , 69 ], which emphasized that learning strategies are important catalysts of students' learning, as students who utilize effective learning strategies are more likely to have better academic achievement.

Teachers, too, have capitalized on ChatGPT's capabilities to enhance productivity and efficiency, using it for creating lesson plans, generating quizzes, providing additional resources, generating and preplanning new ideas for activities, and aiding in answering students’ questions. This adoption of technology introduces new opportunities to support teaching and learning practices, enhancing teacher productivity. This finding aligns with those of Day [ 17 ], De Castro [ 18 ], and Su and Yang [ 74 ] as well as with those of Valtonen et al. [ 82 ], who revealed that emerging technological advancements have opened up novel opportunities and means to support teaching and learning practices, and enhance teachers’ productivity.

In response to RQ2 , "What are the main findings derived from empirical studies that have incorporated ChatGPT into learning and teaching?", the findings from this review provide profound insights and raise significant concerns. Starting with the insights, chatbots, including ChatGPT, have demonstrated the potential to reshape and revolutionize education, creating new, novel opportunities for enhancing the learning process and outcomes [ 83 ], facilitating different learning approaches, and offering a range of pedagogical benefits [ 19 , 43 , 72 ]. In this context, this review found that ChatGPT could open avenues for educators to adopt or develop new effective learning and teaching strategies that can evolve with the introduction of ChatGPT into the classroom. Nonetheless, there is an evident lack of research understanding regarding the potential impact of generative machine learning models within diverse educational settings [ 83 ]. This necessitates teachers to attain a high level of proficiency in incorporating chatbots, such as ChatGPT, into their classrooms to create inventive, well-structured, and captivating learning strategies. In the same vein, the review also found that teachers without the requisite skills to utilize ChatGPT realized that it did not contribute positively to their work and could potentially have adverse effects [ 37 ]. This concern could lead to inequity of access to the benefits of chatbots, including ChatGPT, as individuals who lack the necessary expertise may not be able to harness their full potential, resulting in disparities in educational outcomes and opportunities. Therefore, immediate action is needed to address these potential issues. A potential solution is offering training, support, and competency development for teachers to ensure that all of them can leverage chatbots, including ChatGPT, effectively and equitably in their educational practices [ 5 , 28 , 80 ], which could enhance accessibility and inclusivity, and potentially result in innovative outcomes [ 82 , 83 ].

Additionally, chatbots, including ChatGPT, have the potential to significantly impact students' thinking abilities, including retention, reasoning, analysis skills [ 19 , 45 ], and foster innovation and creativity capabilities [ 83 ]. This review found that ChatGPT could contribute to improving a wide range of skills among students. However, it found that frequent use of ChatGPT may result in a decrease in innovative capacities, collaborative skills and cognitive capacities, and students' motivation to attend classes, as well as could lead to reduced higher-order thinking skills among students [ 22 , 29 ]. Therefore, immediate action is needed to carefully examine the long-term impact of chatbots such as ChatGPT, on learning outcomes as well as to explore its incorporation into educational settings as a supportive tool without compromising students' cognitive development and critical thinking abilities. In the same vein, the review also found that it is challenging to draw a consistent conclusion regarding the potential of ChatGPT to aid self-directed learning approach. This finding aligns with the recent study of Baskara [ 8 ]. Therefore, further research is needed to explore the potential of ChatGPT for self-directed learning. One potential solution involves utilizing learning analytics as a novel approach to examine various aspects of students' learning and support them in their individual endeavors [ 32 ]. This approach can bridge this gap by facilitating an in-depth analysis of how learners engage with ChatGPT, identifying trends in self-directed learning behavior, and assessing its influence on their outcomes.

Turning to the significant concerns, on the other hand, a fundamental challenge with LLM-based chatbots, including ChatGPT, is the accuracy and quality of the provided information and responses, as they provide false information as truth—a phenomenon often referred to as "hallucination" [ 3 , 49 ]. In this context, this review found that the provided information was not entirely satisfactory. Consequently, the utilization of chatbots presents potential concerns, such as generating and providing inaccurate or misleading information, especially for students who utilize it to support their learning. This finding aligns with other findings [ 6 , 30 , 35 , 40 ] which revealed that incorporating chatbots such as ChatGPT, into education presents challenges related to its accuracy and reliability due to its training on a large corpus of data, which may contain inaccuracies and the way users formulate or ask ChatGPT. Therefore, immediate action is needed to address these potential issues. One possible solution is to equip students with the necessary skills and competencies, which include a background understanding of how to use it effectively and the ability to assess and evaluate the information it generates, as the accuracy and the quality of the provided information depend on the input, its complexity, the topic, and the relevance of its training data [ 28 , 49 , 86 ]. However, it's also essential to examine how learners can be educated about how these models operate, the data used in their training, and how to recognize their limitations, challenges, and issues [ 79 ].

Furthermore, chatbots present a substantial challenge concerning maintaining academic integrity [ 20 , 56 ] and copyright violations [ 83 ], which are significant concerns in education. The review found that the potential misuse of ChatGPT might foster cheating, facilitate plagiarism, and threaten academic integrity. This issue is also affirmed by the research conducted by Basic et al. [ 7 ], who presented evidence that students who utilized ChatGPT in their writing assignments had more plagiarism cases than those who did not. These findings align with the conclusions drawn by Cotton et al. [ 13 ], Hisan and Amri [ 33 ] and Sullivan et al. [ 75 ], who revealed that the integration of chatbots such as ChatGPT into education poses a significant challenge to the preservation of academic integrity. Moreover, chatbots, including ChatGPT, have increased the difficulty in identifying plagiarism [ 47 , 67 , 76 ]. The findings from previous studies [ 1 , 84 ] indicate that AI-generated text often went undetected by plagiarism software, such as Turnitin. However, Turnitin and other similar plagiarism detection tools, such as ZeroGPT, GPTZero, and Copyleaks, have since evolved, incorporating enhanced techniques to detect AI-generated text, despite the possibility of false positives, as noted in different studies that have found these tools still not yet fully ready to accurately and reliably identify AI-generated text [ 10 , 51 ], and new novel detection methods may need to be created and implemented for AI-generated text detection [ 4 ]. This potential issue could lead to another concern, which is the difficulty of accurately evaluating student performance when they utilize chatbots such as ChatGPT assistance in their assignments. Consequently, the most LLM-driven chatbots present a substantial challenge to traditional assessments [ 64 ]. The findings from previous studies indicate the importance of rethinking, improving, and redesigning innovative assessment methods in the era of chatbots [ 14 , 20 , 64 , 75 ]. These methods should prioritize the process of evaluating students' ability to apply knowledge to complex cases and demonstrate comprehension, rather than solely focusing on the final product for assessment. Therefore, immediate action is needed to address these potential issues. One possible solution would be the development of clear guidelines, regulatory policies, and pedagogical guidance. These measures would help regulate the proper and ethical utilization of chatbots, such as ChatGPT, and must be established before their introduction to students [ 35 , 38 , 39 , 41 , 89 ].

In summary, our review has delved into the utilization of ChatGPT, a prominent example of chatbots, in education, addressing the question of how ChatGPT has been utilized in education. However, there remain significant gaps, which necessitate further research to shed light on this area.

7 Conclusions

This systematic review has shed light on the varied initial attempts at incorporating ChatGPT into education by both learners and educators, while also offering insights and considerations that can facilitate its effective and responsible use in future educational contexts. From the analysis of 14 selected studies, the review revealed the dual-edged impact of ChatGPT in educational settings. On the positive side, ChatGPT significantly aided the learning process in various ways. Learners have used it as a virtual intelligent assistant, benefiting from its ability to provide immediate feedback, on-demand answers, and easy access to educational resources. Additionally, it was clear that learners have used it to enhance their writing and language skills, engaging in practices such as generating ideas, composing essays, and performing tasks like summarizing, translating, paraphrasing texts, or checking grammar. Importantly, other learners have utilized it in supporting and facilitating their directed and personalized learning on a broad range of educational topics, assisting in understanding concepts and homework, providing structured learning plans, and clarifying assignments and tasks. Educators, on the other hand, found ChatGPT beneficial for enhancing productivity and efficiency. They used it for creating lesson plans, generating quizzes, providing additional resources, and answers learners' questions, which saved time and allowed for more dynamic and engaging teaching strategies and methodologies.

However, the review also pointed out negative impacts. The results revealed that overuse of ChatGPT could decrease innovative capacities and collaborative learning among learners. Specifically, relying too much on ChatGPT for quick answers can inhibit learners' critical thinking and problem-solving skills. Learners might not engage deeply with the material or consider multiple solutions to a problem. This tendency was particularly evident in group projects, where learners preferred consulting ChatGPT individually for solutions over brainstorming and collaborating with peers, which negatively affected their teamwork abilities. On a broader level, integrating ChatGPT into education has also raised several concerns, including the potential for providing inaccurate or misleading information, issues of inequity in access, challenges related to academic integrity, and the possibility of misusing the technology.

Accordingly, this review emphasizes the urgency of developing clear rules, policies, and regulations to ensure ChatGPT's effective and responsible use in educational settings, alongside other chatbots, by both learners and educators. This requires providing well-structured training to educate them on responsible usage and understanding its limitations, along with offering sufficient background information. Moreover, it highlights the importance of rethinking, improving, and redesigning innovative teaching and assessment methods in the era of ChatGPT. Furthermore, conducting further research and engaging in discussions with policymakers and stakeholders are essential steps to maximize the benefits for both educators and learners and ensure academic integrity.

It is important to acknowledge that this review has certain limitations. Firstly, the limited inclusion of reviewed studies can be attributed to several reasons, including the novelty of the technology, as new technologies often face initial skepticism and cautious adoption; the lack of clear guidelines or best practices for leveraging this technology for educational purposes; and institutional or governmental policies affecting the utilization of this technology in educational contexts. These factors, in turn, have affected the number of studies available for review. Secondly, the utilization of the original version of ChatGPT, based on GPT-3 or GPT-3.5, implies that new studies utilizing the updated version, GPT-4 may lead to different findings. Therefore, conducting follow-up systematic reviews is essential once more empirical studies on ChatGPT are published. Additionally, long-term studies are necessary to thoroughly examine and assess the impact of ChatGPT on various educational practices.

Despite these limitations, this systematic review has highlighted the transformative potential of ChatGPT in education, revealing its diverse utilization by learners and educators alike and summarized the benefits of incorporating it into education, as well as the forefront critical concerns and challenges that must be addressed to facilitate its effective and responsible use in future educational contexts. This review could serve as an insightful resource for practitioners who seek to integrate ChatGPT into education and stimulate further research in the field.

Data availability

The data supporting our findings are available upon request.

Abbreviations

• Artificial intelligence

AI in education

Large language model

Artificial neural networks

Chat Generative Pre-Trained Transformer

Recurrent neural networks

Long short-term memory

Reinforcement learning from human feedback

Natural language processing

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

AlAfnan MA, Dishari S, Jovic M, Lomidze K. ChatGPT as an educational tool: opportunities, challenges, and recommendations for communication, business writing, and composition courses. J Artif Intell Technol. 2023. https://doi.org/10.37965/jait.2023.0184 .

Article   Google Scholar  

Ali JKM, Shamsan MAA, Hezam TA, Mohammed AAQ. Impact of ChatGPT on learning motivation. J Engl Stud Arabia Felix. 2023;2(1):41–9. https://doi.org/10.56540/jesaf.v2i1.51 .

Alkaissi H, McFarlane SI. Artificial hallucinations in ChatGPT: implications in scientific writing. Cureus. 2023. https://doi.org/10.7759/cureus.35179 .

Anderson N, Belavý DL, Perle SM, Hendricks S, Hespanhol L, Verhagen E, Memon AR. AI did not write this manuscript, or did it? Can we trick the AI text detector into generated texts? The potential future of ChatGPT and AI in sports & exercise medicine manuscript generation. BMJ Open Sport Exerc Med. 2023;9(1): e001568. https://doi.org/10.1136/bmjsem-2023-001568 .

Ausat AMA, Massang B, Efendi M, Nofirman N, Riady Y. Can chat GPT replace the role of the teacher in the classroom: a fundamental analysis. J Educ. 2023;5(4):16100–6.

Google Scholar  

Baidoo-Anu D, Ansah L. Education in the Era of generative artificial intelligence (AI): understanding the potential benefits of ChatGPT in promoting teaching and learning. Soc Sci Res Netw. 2023. https://doi.org/10.2139/ssrn.4337484 .

Basic Z, Banovac A, Kruzic I, Jerkovic I. Better by you, better than me, chatgpt3 as writing assistance in students essays. 2023. arXiv preprint arXiv:2302.04536 .‏

Baskara FR. The promises and pitfalls of using chat GPT for self-determined learning in higher education: an argumentative review. Prosiding Seminar Nasional Fakultas Tarbiyah dan Ilmu Keguruan IAIM Sinjai. 2023;2:95–101. https://doi.org/10.47435/sentikjar.v2i0.1825 .

Behera RK, Bala PK, Dhir A. The emerging role of cognitive computing in healthcare: a systematic literature review. Int J Med Inform. 2019;129:154–66. https://doi.org/10.1016/j.ijmedinf.2019.04.024 .

Chaka C. Detecting AI content in responses generated by ChatGPT, YouChat, and Chatsonic: the case of five AI content detection tools. J Appl Learn Teach. 2023. https://doi.org/10.37074/jalt.2023.6.2.12 .

Chiu TKF, Xia Q, Zhou X, Chai CS, Cheng M. Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Comput Educ Artif Intell. 2023;4:100118. https://doi.org/10.1016/j.caeai.2022.100118 .

Choi EPH, Lee JJ, Ho M, Kwok JYY, Lok KYW. Chatting or cheating? The impacts of ChatGPT and other artificial intelligence language models on nurse education. Nurse Educ Today. 2023;125:105796. https://doi.org/10.1016/j.nedt.2023.105796 .

Cotton D, Cotton PA, Shipway JR. Chatting and cheating: ensuring academic integrity in the era of ChatGPT. Innov Educ Teach Int. 2023. https://doi.org/10.1080/14703297.2023.2190148 .

Crawford J, Cowling M, Allen K. Leadership is needed for ethical ChatGPT: Character, assessment, and learning using artificial intelligence (AI). J Univ Teach Learn Pract. 2023. https://doi.org/10.53761/1.20.3.02 .

Creswell JW. Educational research: planning, conducting, and evaluating quantitative and qualitative research [Ebook]. 4th ed. London: Pearson Education; 2015.

Curry D. ChatGPT Revenue and Usage Statistics (2023)—Business of Apps. 2023. https://www.businessofapps.com/data/chatgpt-statistics/

Day T. A preliminary investigation of fake peer-reviewed citations and references generated by ChatGPT. Prof Geogr. 2023. https://doi.org/10.1080/00330124.2023.2190373 .

De Castro CA. A Discussion about the Impact of ChatGPT in education: benefits and concerns. J Bus Theor Pract. 2023;11(2):p28. https://doi.org/10.22158/jbtp.v11n2p28 .

Deng X, Yu Z. A meta-analysis and systematic review of the effect of Chatbot technology use in sustainable education. Sustainability. 2023;15(4):2940. https://doi.org/10.3390/su15042940 .

Eke DO. ChatGPT and the rise of generative AI: threat to academic integrity? J Responsib Technol. 2023;13:100060. https://doi.org/10.1016/j.jrt.2023.100060 .

Elmoazen R, Saqr M, Tedre M, Hirsto L. A systematic literature review of empirical research on epistemic network analysis in education. IEEE Access. 2022;10:17330–48. https://doi.org/10.1109/access.2022.3149812 .

Farrokhnia M, Banihashem SK, Noroozi O, Wals AEJ. A SWOT analysis of ChatGPT: implications for educational practice and research. Innov Educ Teach Int. 2023. https://doi.org/10.1080/14703297.2023.2195846 .

Fergus S, Botha M, Ostovar M. Evaluating academic answers generated using ChatGPT. J Chem Educ. 2023;100(4):1672–5. https://doi.org/10.1021/acs.jchemed.3c00087 .

Fink A. Conducting research literature reviews: from the Internet to Paper. Incorporated: SAGE Publications; 2010.

Firaina R, Sulisworo D. Exploring the usage of ChatGPT in higher education: frequency and impact on productivity. Buletin Edukasi Indonesia (BEI). 2023;2(01):39–46. https://doi.org/10.56741/bei.v2i01.310 .

Firat, M. (2023). How chat GPT can transform autodidactic experiences and open education.  Department of Distance Education, Open Education Faculty, Anadolu Unive .‏ https://orcid.org/0000-0001-8707-5918

Firat M. What ChatGPT means for universities: perceptions of scholars and students. J Appl Learn Teach. 2023. https://doi.org/10.37074/jalt.2023.6.1.22 .

Fuchs K. Exploring the opportunities and challenges of NLP models in higher education: is Chat GPT a blessing or a curse? Front Educ. 2023. https://doi.org/10.3389/feduc.2023.1166682 .

García-Peñalvo FJ. La percepción de la inteligencia artificial en contextos educativos tras el lanzamiento de ChatGPT: disrupción o pánico. Educ Knowl Soc. 2023;24: e31279. https://doi.org/10.14201/eks.31279 .

Gilson A, Safranek CW, Huang T, Socrates V, Chi L, Taylor A, Chartash D. How does ChatGPT perform on the United States medical Licensing examination? The implications of large language models for medical education and knowledge assessment. JMIR Med Educ. 2023;9: e45312. https://doi.org/10.2196/45312 .

Hashana AJ, Brundha P, Ayoobkhan MUA, Fazila S. Deep Learning in ChatGPT—A Survey. In   2023 7th international conference on trends in electronics and informatics (ICOEI) . 2023. (pp. 1001–1005). IEEE. https://doi.org/10.1109/icoei56765.2023.10125852

Hirsto L, Saqr M, López-Pernas S, Valtonen T. (2022). A systematic narrative review of learning analytics research in K-12 and schools.  Proceedings . https://ceur-ws.org/Vol-3383/FLAIEC22_paper_9536.pdf

Hisan UK, Amri MM. ChatGPT and medical education: a double-edged sword. J Pedag Educ Sci. 2023;2(01):71–89. https://doi.org/10.13140/RG.2.2.31280.23043/1 .

Hopkins AM, Logan JM, Kichenadasse G, Sorich MJ. Artificial intelligence chatbots will revolutionize how cancer patients access information: ChatGPT represents a paradigm-shift. JNCI Cancer Spectr. 2023. https://doi.org/10.1093/jncics/pkad010 .

Househ M, AlSaad R, Alhuwail D, Ahmed A, Healy MG, Latifi S, Sheikh J. Large Language models in medical education: opportunities, challenges, and future directions. JMIR Med Educ. 2023;9: e48291. https://doi.org/10.2196/48291 .

Ilkka T. The impact of artificial intelligence on learning, teaching, and education. Minist de Educ. 2018. https://doi.org/10.2760/12297 .

Iqbal N, Ahmed H, Azhar KA. Exploring teachers’ attitudes towards using CHATGPT. Globa J Manag Adm Sci. 2022;3(4):97–111. https://doi.org/10.46568/gjmas.v3i4.163 .

Irfan M, Murray L, Ali S. Integration of Artificial intelligence in academia: a case study of critical teaching and learning in Higher education. Globa Soc Sci Rev. 2023;8(1):352–64. https://doi.org/10.31703/gssr.2023(viii-i).32 .

Jeon JH, Lee S. Large language models in education: a focus on the complementary relationship between human teachers and ChatGPT. Educ Inf Technol. 2023. https://doi.org/10.1007/s10639-023-11834-1 .

Khan RA, Jawaid M, Khan AR, Sajjad M. ChatGPT—Reshaping medical education and clinical management. Pak J Med Sci. 2023. https://doi.org/10.12669/pjms.39.2.7653 .

King MR. A conversation on artificial intelligence, Chatbots, and plagiarism in higher education. Cell Mol Bioeng. 2023;16(1):1–2. https://doi.org/10.1007/s12195-022-00754-8 .

Kooli C. Chatbots in education and research: a critical examination of ethical implications and solutions. Sustainability. 2023;15(7):5614. https://doi.org/10.3390/su15075614 .

Kuhail MA, Alturki N, Alramlawi S, Alhejori K. Interacting with educational chatbots: a systematic review. Educ Inf Technol. 2022;28(1):973–1018. https://doi.org/10.1007/s10639-022-11177-3 .

Lee H. The rise of ChatGPT: exploring its potential in medical education. Anat Sci Educ. 2023. https://doi.org/10.1002/ase.2270 .

Li L, Subbareddy R, Raghavendra CG. AI intelligence Chatbot to improve students learning in the higher education platform. J Interconnect Netw. 2022. https://doi.org/10.1142/s0219265921430325 .

Limna P. A Review of Artificial Intelligence (AI) in Education during the Digital Era. 2022. https://ssrn.com/abstract=4160798

Lo CK. What is the impact of ChatGPT on education? A rapid review of the literature. Educ Sci. 2023;13(4):410. https://doi.org/10.3390/educsci13040410 .

Luo W, He H, Liu J, Berson IR, Berson MJ, Zhou Y, Li H. Aladdin’s genie or pandora’s box For early childhood education? Experts chat on the roles, challenges, and developments of ChatGPT. Early Educ Dev. 2023. https://doi.org/10.1080/10409289.2023.2214181 .

Meyer JG, Urbanowicz RJ, Martin P, O’Connor K, Li R, Peng P, Moore JH. ChatGPT and large language models in academia: opportunities and challenges. Biodata Min. 2023. https://doi.org/10.1186/s13040-023-00339-9 .

Mhlanga D. Open AI in education, the responsible and ethical use of ChatGPT towards lifelong learning. Soc Sci Res Netw. 2023. https://doi.org/10.2139/ssrn.4354422 .

Neumann, M., Rauschenberger, M., & Schön, E. M. (2023). “We Need To Talk About ChatGPT”: The Future of AI and Higher Education.‏ https://doi.org/10.1109/seeng59157.2023.00010

Nolan B. Here are the schools and colleges that have banned the use of ChatGPT over plagiarism and misinformation fears. Business Insider . 2023. https://www.businessinsider.com

O’Leary DE. An analysis of three chatbots: BlenderBot, ChatGPT and LaMDA. Int J Intell Syst Account, Financ Manag. 2023;30(1):41–54. https://doi.org/10.1002/isaf.1531 .

Okoli C. A guide to conducting a standalone systematic literature review. Commun Assoc Inf Syst. 2015. https://doi.org/10.17705/1cais.03743 .

OpenAI. (2023). https://openai.com/blog/chatgpt

Perkins M. Academic integrity considerations of AI large language models in the post-pandemic era: ChatGPT and beyond. J Univ Teach Learn Pract. 2023. https://doi.org/10.53761/1.20.02.07 .

Plevris V, Papazafeiropoulos G, Rios AJ. Chatbots put to the test in math and logic problems: A preliminary comparison and assessment of ChatGPT-3.5, ChatGPT-4, and Google Bard. arXiv (Cornell University) . 2023. https://doi.org/10.48550/arxiv.2305.18618

Rahman MM, Watanobe Y (2023) ChatGPT for education and research: opportunities, threats, and strategies. Appl Sci 13(9):5783. https://doi.org/10.3390/app13095783

Ram B, Verma P. Artificial intelligence AI-based Chatbot study of ChatGPT, google AI bard and baidu AI. World J Adv Eng Technol Sci. 2023;8(1):258–61. https://doi.org/10.30574/wjaets.2023.8.1.0045 .

Rasul T, Nair S, Kalendra D, Robin M, de Oliveira Santini F, Ladeira WJ, Heathcote L. The role of ChatGPT in higher education: benefits, challenges, and future research directions. J Appl Learn Teach. 2023. https://doi.org/10.37074/jalt.2023.6.1.29 .

Ratnam M, Sharm B, Tomer A. ChatGPT: educational artificial intelligence. Int J Adv Trends Comput Sci Eng. 2023;12(2):84–91. https://doi.org/10.30534/ijatcse/2023/091222023 .

Ray PP. ChatGPT: a comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet Things Cyber-Phys Syst. 2023;3:121–54. https://doi.org/10.1016/j.iotcps.2023.04.003 .

Roumeliotis KI, Tselikas ND. ChatGPT and Open-AI models: a preliminary review. Future Internet. 2023;15(6):192. https://doi.org/10.3390/fi15060192 .

Rudolph J, Tan S, Tan S. War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold rush and its impact on higher education. J Appl Learn Teach. 2023. https://doi.org/10.37074/jalt.2023.6.1.23 .

Ruiz LMS, Moll-López S, Nuñez-Pérez A, Moraño J, Vega-Fleitas E. ChatGPT challenges blended learning methodologies in engineering education: a case study in mathematics. Appl Sci. 2023;13(10):6039. https://doi.org/10.3390/app13106039 .

Sallam M, Salim NA, Barakat M, Al-Tammemi AB. ChatGPT applications in medical, dental, pharmacy, and public health education: a descriptive study highlighting the advantages and limitations. Narra J. 2023;3(1): e103. https://doi.org/10.52225/narra.v3i1.103 .

Salvagno M, Taccone FS, Gerli AG. Can artificial intelligence help for scientific writing? Crit Care. 2023. https://doi.org/10.1186/s13054-023-04380-2 .

Saqr M, López-Pernas S, Helske S, Hrastinski S. The longitudinal association between engagement and achievement varies by time, students’ profiles, and achievement state: a full program study. Comput Educ. 2023;199:104787. https://doi.org/10.1016/j.compedu.2023.104787 .

Saqr M, Matcha W, Uzir N, Jovanović J, Gašević D, López-Pernas S. Transferring effective learning strategies across learning contexts matters: a study in problem-based learning. Australas J Educ Technol. 2023;39(3):9.

Schöbel S, Schmitt A, Benner D, Saqr M, Janson A, Leimeister JM. Charting the evolution and future of conversational agents: a research agenda along five waves and new frontiers. Inf Syst Front. 2023. https://doi.org/10.1007/s10796-023-10375-9 .

Shoufan A. Exploring students’ perceptions of CHATGPT: thematic analysis and follow-up survey. IEEE Access. 2023. https://doi.org/10.1109/access.2023.3268224 .

Sonderegger S, Seufert S. Chatbot-mediated learning: conceptual framework for the design of Chatbot use cases in education. Gallen: Institute for Educational Management and Technologies, University of St; 2022. https://doi.org/10.5220/0010999200003182 .

Book   Google Scholar  

Strzelecki A. To use or not to use ChatGPT in higher education? A study of students’ acceptance and use of technology. Interact Learn Environ. 2023. https://doi.org/10.1080/10494820.2023.2209881 .

Su J, Yang W. Unlocking the power of ChatGPT: a framework for applying generative AI in education. ECNU Rev Educ. 2023. https://doi.org/10.1177/20965311231168423 .

Sullivan M, Kelly A, McLaughlan P. ChatGPT in higher education: Considerations for academic integrity and student learning. J ApplLearn Teach. 2023;6(1):1–10. https://doi.org/10.37074/jalt.2023.6.1.17 .

Szabo A. ChatGPT is a breakthrough in science and education but fails a test in sports and exercise psychology. Balt J Sport Health Sci. 2023;1(128):25–40. https://doi.org/10.33607/bjshs.v127i4.1233 .

Taecharungroj V. “What can ChatGPT do?” analyzing early reactions to the innovative AI chatbot on Twitter. Big Data Cognit Comput. 2023;7(1):35. https://doi.org/10.3390/bdcc7010035 .

Tam S, Said RB. User preferences for ChatGPT-powered conversational interfaces versus traditional methods. Biomed Eng Soc. 2023. https://doi.org/10.58496/mjcsc/2023/004 .

Tedre M, Kahila J, Vartiainen H. (2023). Exploration on how co-designing with AI facilitates critical evaluation of ethics of AI in craft education. In: Langran E, Christensen P, Sanson J (Eds).  Proceedings of Society for Information Technology and Teacher Education International Conference . 2023. pp. 2289–2296.

Tlili A, Shehata B, Adarkwah MA, Bozkurt A, Hickey DT, Huang R, Agyemang B. What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learn Environ. 2023. https://doi.org/10.1186/s40561-023-00237-x .

Uddin SMJ, Albert A, Ovid A, Alsharef A. Leveraging CHATGPT to aid construction hazard recognition and support safety education and training. Sustainability. 2023;15(9):7121. https://doi.org/10.3390/su15097121 .

Valtonen T, López-Pernas S, Saqr M, Vartiainen H, Sointu E, Tedre M. The nature and building blocks of educational technology research. Comput Hum Behav. 2022;128:107123. https://doi.org/10.1016/j.chb.2021.107123 .

Vartiainen H, Tedre M. Using artificial intelligence in craft education: crafting with text-to-image generative models. Digit Creat. 2023;34(1):1–21. https://doi.org/10.1080/14626268.2023.2174557 .

Ventayen RJM. OpenAI ChatGPT generated results: similarity index of artificial intelligence-based contents. Soc Sci Res Netw. 2023. https://doi.org/10.2139/ssrn.4332664 .

Wagner MW, Ertl-Wagner BB. Accuracy of information and references using ChatGPT-3 for retrieval of clinical radiological information. Can Assoc Radiol J. 2023. https://doi.org/10.1177/08465371231171125 .

Wardat Y, Tashtoush MA, AlAli R, Jarrah AM. ChatGPT: a revolutionary tool for teaching and learning mathematics. Eurasia J Math, Sci Technol Educ. 2023;19(7):em2286. https://doi.org/10.29333/ejmste/13272 .

Webster J, Watson RT. Analyzing the past to prepare for the future: writing a literature review. Manag Inf Syst Quart. 2002;26(2):3.

Xiao Y, Watson ME. Guidance on conducting a systematic literature review. J Plan Educ Res. 2017;39(1):93–112. https://doi.org/10.1177/0739456x17723971 .

Yan D. Impact of ChatGPT on learners in a L2 writing practicum: an exploratory investigation. Educ Inf Technol. 2023. https://doi.org/10.1007/s10639-023-11742-4 .

Yu H. Reflection on whether Chat GPT should be banned by academia from the perspective of education and teaching. Front Psychol. 2023;14:1181712. https://doi.org/10.3389/fpsyg.2023.1181712 .

Zhu C, Sun M, Luo J, Li T, Wang M. How to harness the potential of ChatGPT in education? Knowl Manag ELearn. 2023;15(2):133–52. https://doi.org/10.34105/j.kmel.2023.15.008 .

Download references

The paper is co-funded by the Academy of Finland (Suomen Akatemia) Research Council for Natural Sciences and Engineering for the project Towards precision education: Idiographic learning analytics (TOPEILA), Decision Number 350560.

Author information

Authors and affiliations.

School of Computing, University of Eastern Finland, 80100, Joensuu, Finland

Yazid Albadarin, Mohammed Saqr, Nicolas Pope & Markku Tukiainen

You can also search for this author in PubMed   Google Scholar

Contributions

YA contributed to the literature search, data analysis, discussion, and conclusion. Additionally, YA contributed to the manuscript’s writing, editing, and finalization. MS contributed to the study’s design, conceptualization, acquisition of funding, project administration, allocation of resources, supervision, validation, literature search, and analysis of results. Furthermore, MS contributed to the manuscript's writing, revising, and approving it in its finalized state. NP contributed to the results, and discussions, and provided supervision. NP also contributed to the writing process, revisions, and the final approval of the manuscript in its finalized state. MT contributed to the study's conceptualization, resource management, supervision, writing, revising the manuscript, and approving it.

Corresponding author

Correspondence to Yazid Albadarin .

Ethics declarations

Competing interests.

The authors declare no competing interests.

Additional information

Publisher's note.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

See Table  4

The process of synthesizing the data presented in Table  4 involved identifying the relevant studies through a search process of databases (ERIC, Scopus, Web of Knowledge, Dimensions.ai, and lens.org) using specific keywords "ChatGPT" and "education". Following this, inclusion/exclusion criteria were applied, and data extraction was performed using Creswell's [ 15 ] coding techniques to capture key information and identify common themes across the included studies.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ .

Reprints and permissions

About this article

Albadarin, Y., Saqr, M., Pope, N. et al. A systematic literature review of empirical research on ChatGPT in education. Discov Educ 3 , 60 (2024). https://doi.org/10.1007/s44217-024-00138-2

Download citation

Received : 22 October 2023

Accepted : 10 May 2024

Published : 26 May 2024

DOI : https://doi.org/10.1007/s44217-024-00138-2

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Large language models
• Educational technology
• Systematic review

Advertisement

• Find a journal
• Publish with us
• Track your research