essay about experience in modular distance learning

ORIGINAL RESEARCH article

Insights into students’ experiences and perceptions of remote learning methods: from the covid-19 pandemic to best practice for the future.

• 1 Minerva Schools at Keck Graduate Institute, San Francisco, CA, United States
• 2 Ronin Institute for Independent Scholarship, Montclair, NJ, United States
• 3 Department of Physics, University of Toronto, Toronto, ON, Canada

This spring, students across the globe transitioned from in-person classes to remote learning as a result of the COVID-19 pandemic. This unprecedented change to undergraduate education saw institutions adopting multiple online teaching modalities and instructional platforms. We sought to understand students’ experiences with and perspectives on those methods of remote instruction in order to inform pedagogical decisions during the current pandemic and in future development of online courses and virtual learning experiences. Our survey gathered quantitative and qualitative data regarding students’ experiences with synchronous and asynchronous methods of remote learning and specific pedagogical techniques associated with each. A total of 4,789 undergraduate participants representing institutions across 95 countries were recruited via Instagram. We find that most students prefer synchronous online classes, and students whose primary mode of remote instruction has been synchronous report being more engaged and motivated. Our qualitative data show that students miss the social aspects of learning on campus, and it is possible that synchronous learning helps to mitigate some feelings of isolation. Students whose synchronous classes include active-learning techniques (which are inherently more social) report significantly higher levels of engagement, motivation, enjoyment, and satisfaction with instruction. Respondents’ recommendations for changes emphasize increased engagement, interaction, and student participation. We conclude that active-learning methods, which are known to increase motivation, engagement, and learning in traditional classrooms, also have a positive impact in the remote-learning environment. Integrating these elements into online courses will improve the student experience.

Introduction

The COVID-19 pandemic has dramatically changed the demographics of online students. Previously, almost all students engaged in online learning elected the online format, starting with individual online courses in the mid-1990s through today’s robust online degree and certificate programs. These students prioritize convenience, flexibility and ability to work while studying and are older than traditional college age students ( Harris and Martin, 2012 ; Levitz, 2016 ). These students also find asynchronous elements of a course are more useful than synchronous elements ( Gillingham and Molinari, 2012 ). In contrast, students who chose to take courses in-person prioritize face-to-face instruction and connection with others and skew considerably younger ( Harris and Martin, 2012 ). This leaves open the question of whether students who prefer to learn in-person but are forced to learn remotely will prefer synchronous or asynchronous methods. One study of student preferences following a switch to remote learning during the COVID-19 pandemic indicates that students enjoy synchronous over asynchronous course elements and find them more effective ( Gillis and Krull, 2020 ). Now that millions of traditional in-person courses have transitioned online, our survey expands the data on student preferences and explores if those preferences align with pedagogical best practices.

An extensive body of research has explored what instructional methods improve student learning outcomes (Fink. 2013). Considerable evidence indicates that active-learning or student-centered approaches result in better learning outcomes than passive-learning or instructor-centered approaches, both in-person and online ( Freeman et al., 2014 ; Chen et al., 2018 ; Davis et al., 2018 ). Active-learning approaches include student activities or discussion in class, whereas passive-learning approaches emphasize extensive exposition by the instructor ( Freeman et al., 2014 ). Constructivist learning theories argue that students must be active participants in creating their own learning, and that listening to expert explanations is seldom sufficient to trigger the neurological changes necessary for learning ( Bostock, 1998 ; Zull, 2002 ). Some studies conclude that, while students learn more via active learning, they may report greater perceptions of their learning and greater enjoyment when passive approaches are used ( Deslauriers et al., 2019 ). We examine student perceptions of remote learning experiences in light of these previous findings.

In this study, we administered a survey focused on student perceptions of remote learning in late May 2020 through the social media account of @unjadedjade to a global population of English speaking undergraduate students representing institutions across 95 countries. We aim to explore how students were being taught, the relationship between pedagogical methods and student perceptions of their experience, and the reasons behind those perceptions. Here we present an initial analysis of the results and share our data set for further inquiry. We find that positive student perceptions correlate with synchronous courses that employ a variety of interactive pedagogical techniques, and that students overwhelmingly suggest behavioral and pedagogical changes that increase social engagement and interaction. We argue that these results support the importance of active learning in an online environment.

Materials and Methods

Participant pool.

Students were recruited through the Instagram account @unjadedjade. This social media platform, run by influencer Jade Bowler, focuses on education, effective study tips, ethical lifestyle, and promotes a positive mindset. For this reason, the audience is presumably academically inclined, and interested in self-improvement. The survey was posted to her account and received 10,563 responses within the first 36 h. Here we analyze the 4,789 of those responses that came from undergraduates. While we did not collect demographic or identifying information, we suspect that women are overrepresented in these data as followers of @unjadedjade are 80% women. A large minority of respondents were from the United Kingdom as Jade Bowler is a British influencer. Specifically, 43.3% of participants attend United Kingdom institutions, followed by 6.7% attending university in the Netherlands, 6.1% in Germany, 5.8% in the United States and 4.2% in Australia. Ninety additional countries are represented in these data (see Supplementary Figure 1 ).

Survey Design

The purpose of this survey is to learn about students’ instructional experiences following the transition to remote learning in the spring of 2020.

This survey was initially created for a student assignment for the undergraduate course Empirical Analysis at Minerva Schools at KGI. That version served as a robust pre-test and allowed for identification of the primary online platforms used, and the four primary modes of learning: synchronous (live) classes, recorded lectures and videos, uploaded or emailed materials, and chat-based communication. We did not adapt any open-ended questions based on the pre-test survey to avoid biasing the results and only corrected language in questions for clarity. We used these data along with an analysis of common practices in online learning to revise the survey. Our revised survey asked students to identify the synchronous and asynchronous pedagogical methods and platforms that they were using for remote learning. Pedagogical methods were drawn from literature assessing active and passive teaching strategies in North American institutions ( Fink, 2013 ; Chen et al., 2018 ; Davis et al., 2018 ). Open-ended questions asked students to describe why they preferred certain modes of learning and how they could improve their learning experience. Students also reported on their affective response to learning and participation using a Likert scale.

The revised survey also asked whether students had responded to the earlier survey. No significant differences were found between responses of those answering for the first and second times (data not shown). See Supplementary Appendix 1 for survey questions. Survey data was collected from 5/21/20 to 5/23/20.

Qualitative Coding

We applied a qualitative coding framework adapted from Gale et al. (2013) to analyze student responses to open-ended questions. Four researchers read several hundred responses and noted themes that surfaced. We then developed a list of themes inductively from the survey data and deductively from the literature on pedagogical practice ( Garrison et al., 1999 ; Zull, 2002 ; Fink, 2013 ; Freeman et al., 2014 ). The initial codebook was revised collaboratively based on feedback from researchers after coding 20–80 qualitative comments each. Before coding their assigned questions, alignment was examined through coding of 20 additional responses. Researchers aligned in identifying the same major themes. Discrepancies in terms identified were resolved through discussion. Researchers continued to meet weekly to discuss progress and alignment. The majority of responses were coded by a single researcher using the final codebook ( Supplementary Table 1 ). All responses to questions 3 (4,318 responses) and 8 (4,704 responses), and 2,512 of 4,776 responses to question 12 were analyzed. Valence was also indicated where necessary (i.e., positive or negative discussion of terms). This paper focuses on the most prevalent themes from our initial analysis of the qualitative responses. The corresponding author reviewed codes to ensure consistency and accuracy of reported data.

Statistical Analysis

The survey included two sets of Likert-scale questions, one consisting of a set of six statements about students’ perceptions of their experiences following the transition to remote learning ( Table 1 ). For each statement, students indicated their level of agreement with the statement on a five-point scale ranging from 1 (“Strongly Disagree”) to 5 (“Strongly Agree”). The second set asked the students to respond to the same set of statements, but about their retroactive perceptions of their experiences with in-person instruction before the transition to remote learning. This set was not the subject of our analysis but is present in the published survey results. To explore correlations among student responses, we used CrossCat analysis to calculate the probability of dependence between Likert-scale responses ( Mansinghka et al., 2016 ).

Table 1. Likert-scale questions.

Mean values are calculated based on the numerical scores associated with each response. Measures of statistical significance for comparisons between different subgroups of respondents were calculated using a two-sided Mann-Whitney U -test, and p -values reported here are based on this test statistic. We report effect sizes in pairwise comparisons using the common-language effect size, f , which is the probability that the response from a random sample from subgroup 1 is greater than the response from a random sample from subgroup 2. We also examined the effects of different modes of remote learning and technological platforms using ordinal logistic regression. With the exception of the mean values, all of these analyses treat Likert-scale responses as ordinal-scale, rather than interval-scale data.

Students Prefer Synchronous Class Sessions

Students were asked to identify their primary mode of learning given four categories of remote course design that emerged from the pilot survey and across literature on online teaching: live (synchronous) classes, recorded lectures and videos, emailed or uploaded materials, and chats and discussion forums. While 42.7% ( n = 2,045) students identified live classes as their primary mode of learning, 54.6% ( n = 2613) students preferred this mode ( Figure 1 ). Both recorded lectures and live classes were preferred over uploaded materials (6.22%, n = 298) and chat (3.36%, n = 161).

Figure 1. Actual (A) and preferred (B) primary modes of learning.

In addition to a preference for live classes, students whose primary mode was synchronous were more likely to enjoy the class, feel motivated and engaged, be satisfied with instruction and report higher levels of participation ( Table 2 and Supplementary Figure 2 ). Regardless of primary mode, over two-thirds of students reported they are often distracted during remote courses.

Table 2. The effect of synchronous vs. asynchronous primary modes of learning on student perceptions.

Variation in Pedagogical Techniques for Synchronous Classes Results in More Positive Perceptions of the Student Learning Experience

To survey the use of passive vs. active instructional methods, students reported the pedagogical techniques used in their live classes. Among the synchronous methods, we identify three different categories ( National Research Council, 2000 ; Freeman et al., 2014 ). Passive methods (P) include lectures, presentations, and explanation using diagrams, white boards and/or other media. These methods all rely on instructor delivery rather than student participation. Our next category represents active learning through primarily one-on-one interactions (A). The methods in this group are in-class assessment, question-and-answer (Q&A), and classroom chat. Group interactions (F) included classroom discussions and small-group activities. Given these categories, Mann-Whitney U pairwise comparisons between the 7 possible combinations and Likert scale responses about student experience showed that the use of a variety of methods resulted in higher ratings of experience vs. the use of a single method whether or not that single method was active or passive ( Table 3 ). Indeed, students whose classes used methods from each category (PAF) had higher ratings of enjoyment, motivation, and satisfaction with instruction than those who only chose any single method ( p < 0.0001) and also rated higher rates of participation and engagement compared to students whose only method was passive (P) or active through one-on-one interactions (A) ( p < 0.00001). Student ratings of distraction were not significantly different for any comparison. Given that sets of Likert responses often appeared significant together in these comparisons, we ran a CrossCat analysis to look at the probability of dependence across Likert responses. Responses have a high probability of dependence on each other, limiting what we can claim about any discrete response ( Supplementary Figure 3 ).

Table 3. Comparison of combinations of synchronous methods on student perceptions. Effect size (f).

Mann-Whitney U pairwise comparisons were also used to check if improvement in student experience was associated with the number of methods used vs. the variety of types of methods. For every comparison, we found that more methods resulted in higher scores on all Likert measures except distraction ( Table 4 ). Even comparison between four or fewer methods and greater than four methods resulted in a 59% chance that the latter enjoyed the courses more ( p < 0.00001) and 60% chance that they felt more motivated to learn ( p < 0.00001). Students who selected more than four methods ( n = 417) were also 65.1% ( p < 0.00001), 62.9% ( p < 0.00001) and 64.3% ( p < 0.00001) more satisfied with instruction, engaged, and actively participating, respectfully. Therefore, there was an overlap between how the number and variety of methods influenced students’ experiences. Since the number of techniques per category is 2–3, we cannot fully disentangle the effect of number vs. variety. Pairwise comparisons to look at subsets of data with 2–3 methods from a single group vs. 2–3 methods across groups controlled for this but had low sample numbers in most groups and resulted in no significant findings (data not shown). Therefore, from the data we have in our survey, there seems to be an interdependence between number and variety of methods on students’ learning experiences.

Table 4. Comparison of the number of synchronous methods on student perceptions. Effect size (f).

Variation in Asynchronous Pedagogical Techniques Results in More Positive Perceptions of the Student Learning Experience

Along with synchronous pedagogical methods, students reported the asynchronous methods that were used for their classes. We divided these methods into three main categories and conducted pairwise comparisons. Learning methods include video lectures, video content, and posted study materials. Interacting methods include discussion/chat forums, live office hours, and email Q&A with professors. Testing methods include assignments and exams. Our results again show the importance of variety in students’ perceptions ( Table 5 ). For example, compared to providing learning materials only, providing learning materials, interaction, and testing improved enjoyment ( f = 0.546, p < 0.001), motivation ( f = 0.553, p < 0.0001), satisfaction with instruction ( f = 0.596, p < 0.00001), engagement ( f = 0.572, p < 0.00001) and active participation ( f = 0.563, p < 0.00001) (row 6). Similarly, compared to just being interactive with conversations, the combination of all three methods improved five out of six indicators, except for distraction in class (row 11).

Table 5. Comparison of combinations of asynchronous methods on student perceptions. Effect size (f).

Ordinal logistic regression was used to assess the likelihood that the platforms students used predicted student perceptions ( Supplementary Table 2 ). Platform choices were based on the answers to open-ended questions in the pre-test survey. The synchronous and asynchronous methods used were consistently more predictive of Likert responses than the specific platforms. Likewise, distraction continued to be our outlier with no differences across methods or platforms.

Students Prefer In-Person and Synchronous Online Learning Largely Due to Social-Emotional Reasoning

As expected, 86.1% (4,123) of survey participants report a preference for in-person courses, while 13.9% (666) prefer online courses. When asked to explain the reasons for their preference, students who prefer in-person courses most often mention the importance of social interaction (693 mentions), engagement (639 mentions), and motivation (440 mentions). These students are also more likely to mention a preference for a fixed schedule (185 mentions) vs. a flexible schedule (2 mentions).

In addition to identifying social reasons for their preference for in-person learning, students’ suggestions for improvements in online learning focus primarily on increasing interaction and engagement, with 845 mentions of live classes, 685 mentions of interaction, 126 calls for increased participation and calls for changes related to these topics such as, “Smaller teaching groups for live sessions so that everyone is encouraged to talk as some people don’t say anything and don’t participate in group work,” and “Make it less of the professor reading the pdf that was given to us and more interaction.”

Students who prefer online learning primarily identify independence and flexibility (214 mentions) and reasons related to anxiety and discomfort in in-person settings (41 mentions). Anxiety was only mentioned 12 times in the much larger group that prefers in-person learning.

The preference for synchronous vs. asynchronous modes of learning follows similar trends ( Table 6 ). Students who prefer live classes mention engagement and interaction most often while those who prefer recorded lectures mention flexibility.

Table 6. Most prevalent themes for students based on their preferred mode of remote learning.

Student Perceptions Align With Research on Active Learning

The first, and most robust, conclusion is that incorporation of active-learning methods correlates with more positive student perceptions of affect and engagement. We can see this clearly in the substantial differences on a number of measures, where students whose classes used only passive-learning techniques reported lower levels of engagement, satisfaction, participation, and motivation when compared with students whose classes incorporated at least some active-learning elements. This result is consistent with prior research on the value of active learning ( Freeman et al., 2014 ).

Though research shows that student learning improves in active learning classes, on campus, student perceptions of their learning, enjoyment, and satisfaction with instruction are often lower in active-learning courses ( Deslauriers et al., 2019 ). Our finding that students rate enjoyment and satisfaction with instruction higher for active learning online suggests that the preference for passive lectures on campus relies on elements outside of the lecture itself. That might include the lecture hall environment, the social physical presence of peers, or normalization of passive lectures as the expected mode for on-campus classes. This implies that there may be more buy-in for active learning online vs. in-person.

A second result from our survey is that student perceptions of affect and engagement are associated with students experiencing a greater diversity of learning modalities. We see this in two different results. First, in addition to the fact that classes that include active learning outperform classes that rely solely on passive methods, we find that on all measures besides distraction, the highest student ratings are associated with a combination of active and passive methods. Second, we find that these higher scores are associated with classes that make use of a larger number of different methods.

This second result suggests that students benefit from classes that make use of multiple different techniques, possibly invoking a combination of passive and active methods. However, it is unclear from our data whether this effect is associated specifically with combining active and passive methods, or if it is associated simply with the use of multiple different methods, irrespective of whether those methods are active, passive, or some combination. The problem is that the number of methods used is confounded with the diversity of methods (e.g., it is impossible for a classroom using only one method to use both active and passive methods). In an attempt to address this question, we looked separately at the effect of number and diversity of methods while holding the other constant. Across a large number of such comparisons, we found few statistically significant differences, which may be a consequence of the fact that each comparison focused on a small subset of the data.

Thus, our data suggests that using a greater diversity of learning methods in the classroom may lead to better student outcomes. This is supported by research on student attention span which suggests varying delivery after 10–15 min to retain student’s attention ( Bradbury, 2016 ). It is likely that this is more relevant for online learning where students report high levels of distraction across methods, modalities, and platforms. Given that number and variety are key, and there are few passive learning methods, we can assume that some combination of methods that includes active learning improves student experience. However, it is not clear whether we should predict that this benefit would come simply from increasing the number of different methods used, or if there are benefits specific to combining particular methods. Disentangling these effects would be an interesting avenue for future research.

Students Value Social Presence in Remote Learning

Student responses across our open-ended survey questions show a striking difference in reasons for their preferences compared with traditional online learners who prefer flexibility ( Harris and Martin, 2012 ; Levitz, 2016 ). Students reasons for preferring in-person classes and synchronous remote classes emphasize the desire for social interaction and echo the research on the importance of social presence for learning in online courses.

Short et al. (1976) outlined Social Presence Theory in depicting students’ perceptions of each other as real in different means of telecommunications. These ideas translate directly to questions surrounding online education and pedagogy in regards to educational design in networked learning where connection across learners and instructors improves learning outcomes especially with “Human-Human interaction” ( Goodyear, 2002 , 2005 ; Tu, 2002 ). These ideas play heavily into asynchronous vs. synchronous learning, where Tu reports students having positive responses to both synchronous “real-time discussion in pleasantness, responsiveness and comfort with familiar topics” and real-time discussions edging out asynchronous computer-mediated communications in immediate replies and responsiveness. Tu’s research indicates that students perceive more interaction with synchronous mediums such as discussions because of immediacy which enhances social presence and support the use of active learning techniques ( Gunawardena, 1995 ; Tu, 2002 ). Thus, verbal immediacy and communities with face-to-face interactions, such as those in synchronous learning classrooms, lessen the psychological distance of communicators online and can simultaneously improve instructional satisfaction and reported learning ( Gunawardena and Zittle, 1997 ; Richardson and Swan, 2019 ; Shea et al., 2019 ). While synchronous learning may not be ideal for traditional online students and a subset of our participants, this research suggests that non-traditional online learners are more likely to appreciate the value of social presence.

Social presence also connects to the importance of social connections in learning. Too often, current systems of education emphasize course content in narrow ways that fail to embrace the full humanity of students and instructors ( Gay, 2000 ). With the COVID-19 pandemic leading to further social isolation for many students, the importance of social presence in courses, including live interactions that build social connections with classmates and with instructors, may be increased.

Limitations of These Data

Our undergraduate data consisted of 4,789 responses from 95 different countries, an unprecedented global scale for research on online learning. However, since respondents were followers of @unjadedjade who focuses on learning and wellness, these respondents may not represent the average student. Biases in survey responses are often limited by their recruitment techniques and our bias likely resulted in more robust and thoughtful responses to free-response questions and may have influenced the preference for synchronous classes. It is unlikely that it changed students reporting on remote learning pedagogical methods since those are out of student control.

Though we surveyed a global population, our design was rooted in literature assessing pedagogy in North American institutions. Therefore, our survey may not represent a global array of teaching practices.

This survey was sent out during the initial phase of emergency remote learning for most countries. This has two important implications. First, perceptions of remote learning may be clouded by complications of the pandemic which has increased social, mental, and financial stresses globally. Future research could disaggregate the impact of the pandemic from students’ learning experiences with a more detailed and holistic analysis of the impact of the pandemic on students.

Second, instructors, students and institutions were not able to fully prepare for effective remote education in terms of infrastructure, mentality, curriculum building, and pedagogy. Therefore, student experiences reflect this emergency transition. Single-modality courses may correlate with instructors who lacked the resources or time to learn or integrate more than one modality. Regardless, the main insights of this research align well with the science of teaching and learning and can be used to inform both education during future emergencies and course development for online programs that wish to attract traditional college students.

Global Student Voices Improve Our Understanding of the Experience of Emergency Remote Learning

Our survey shows that global student perspectives on remote learning agree with pedagogical best practices, breaking with the often-found negative reactions of students to these practices in traditional classrooms ( Shekhar et al., 2020 ). Our analysis of open-ended questions and preferences show that a majority of students prefer pedagogical approaches that promote both active learning and social interaction. These results can serve as a guide to instructors as they design online classes, especially for students whose first choice may be in-person learning. Indeed, with the near ubiquitous adoption of remote learning during the COVID-19 pandemic, remote learning may be the default for colleges during temporary emergencies. This has already been used at the K-12 level as snow days become virtual learning days ( Aspergren, 2020 ).

In addition to informing pedagogical decisions, the results of this survey can be used to inform future research. Although we survey a global population, our recruitment method selected for students who are English speakers, likely majority female, and have an interest in self-improvement. Repeating this study with a more diverse and representative sample of university students could improve the generalizability of our findings. While the use of a variety of pedagogical methods is better than a single method, more research is needed to determine what the optimal combinations and implementations are for courses in different disciplines. Though we identified social presence as the major trend in student responses, the over 12,000 open-ended responses from students could be analyzed in greater detail to gain a more nuanced understanding of student preferences and suggestions for improvement. Likewise, outliers could shed light on the diversity of student perspectives that we may encounter in our own classrooms. Beyond this, our findings can inform research that collects demographic data and/or measures learning outcomes to understand the impact of remote learning on different populations.

Importantly, this paper focuses on a subset of responses from the full data set which includes 10,563 students from secondary school, undergraduate, graduate, or professional school and additional questions about in-person learning. Our full data set is available here for anyone to download for continued exploration: https://dataverse.harvard.edu/dataset.xhtml?persistentId= doi: 10.7910/DVN/2TGOPH .

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

GS: project lead, survey design, qualitative coding, writing, review, and editing. TN: data analysis, writing, review, and editing. CN and PB: qualitative coding. JW: data analysis, writing, and editing. CS: writing, review, and editing. EV and KL: original survey design and qualitative coding. PP: data analysis. JB: original survey design and survey distribution. HH: data analysis. MP: writing. All authors contributed to the article and approved the submitted version.

Conflict of Interest

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.

Acknowledgments

We want to thank Minerva Schools at KGI for providing funding for summer undergraduate research internships. We also want to thank Josh Fost and Christopher V. H.-H. Chen for discussion that helped shape this project.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/feduc.2021.647986/full#supplementary-material

Aspergren, E. (2020). Snow Days Canceled Because of COVID-19 Online School? Not in These School Districts.sec. Education. USA Today. Available online at: https://www.usatoday.com/story/news/education/2020/12/15/covid-school-canceled-snow-day-online-learning/3905780001/ (accessed December 15, 2020).

Google Scholar

Bostock, S. J. (1998). Constructivism in mass higher education: a case study. Br. J. Educ. Technol. 29, 225–240. doi: 10.1111/1467-8535.00066

CrossRef Full Text | Google Scholar

Bradbury, N. A. (2016). Attention span during lectures: 8 seconds, 10 minutes, or more? Adv. Physiol. Educ. 40, 509–513. doi: 10.1152/advan.00109.2016

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, B., Bastedo, K., and Howard, W. (2018). Exploring best practices for online STEM courses: active learning, interaction & assessment design. Online Learn. 22, 59–75. doi: 10.24059/olj.v22i2.1369

Davis, D., Chen, G., Hauff, C., and Houben, G.-J. (2018). Activating learning at scale: a review of innovations in online learning strategies. Comput. Educ. 125, 327–344. doi: 10.1016/j.compedu.2018.05.019

Deslauriers, L., McCarty, L. S., Miller, K., Callaghan, K., and Kestin, G. (2019). Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom. Proc. Natl. Acad. Sci. 116, 19251–19257. doi: 10.1073/pnas.1821936116

Fink, L. D. (2013). Creating Significant Learning Experiences: An Integrated Approach to Designing College Courses. Somerset, NJ: John Wiley & Sons, Incorporated.

Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., et al. (2014). Active learning increases student performance in science, engineering, and mathematics. Proc. Natl. Acad. Sci. 111, 8410–8415. doi: 10.1073/pnas.1319030111

Gale, N. K., Heath, G., Cameron, E., Rashid, S., and Redwood, S. (2013). Using the framework method for the analysis of qualitative data in multi-disciplinary health research. BMC Med. Res. Methodol. 13:117. doi: 10.1186/1471-2288-13-117

Garrison, D. R., Anderson, T., and Archer, W. (1999). Critical inquiry in a text-based environment: computer conferencing in higher education. Internet High. Educ. 2, 87–105. doi: 10.1016/S1096-7516(00)00016-6

Gay, G. (2000). Culturally Responsive Teaching: Theory, Research, and Practice. Multicultural Education Series. New York, NY: Teachers College Press.

Gillingham, and Molinari, C. (2012). Online courses: student preferences survey. Internet Learn. 1, 36–45. doi: 10.18278/il.1.1.4

Gillis, A., and Krull, L. M. (2020). COVID-19 remote learning transition in spring 2020: class structures, student perceptions, and inequality in college courses. Teach. Sociol. 48, 283–299. doi: 10.1177/0092055X20954263

Goodyear, P. (2002). “Psychological foundations for networked learning,” in Networked Learning: Perspectives and Issues. Computer Supported Cooperative Work , eds C. Steeples and C. Jones (London: Springer), 49–75. doi: 10.1007/978-1-4471-0181-9_4

Goodyear, P. (2005). Educational design and networked learning: patterns, pattern languages and design practice. Australas. J. Educ. Technol. 21, 82–101. doi: 10.14742/ajet.1344

Gunawardena, C. N. (1995). Social presence theory and implications for interaction and collaborative learning in computer conferences. Int. J. Educ. Telecommun. 1, 147–166.

Gunawardena, C. N., and Zittle, F. J. (1997). Social presence as a predictor of satisfaction within a computer mediated conferencing environment. Am. J. Distance Educ. 11, 8–26. doi: 10.1080/08923649709526970

Harris, H. S., and Martin, E. (2012). Student motivations for choosing online classes. Int. J. Scholarsh. Teach. Learn. 6, 1–8. doi: 10.20429/ijsotl.2012.060211

Levitz, R. N. (2016). 2015-16 National Online Learners Satisfaction and Priorities Report. Cedar Rapids: Ruffalo Noel Levitz, 12.

Mansinghka, V., Shafto, P., Jonas, E., Petschulat, C., Gasner, M., and Tenenbaum, J. B. (2016). CrossCat: a fully Bayesian nonparametric method for analyzing heterogeneous, high dimensional data. J. Mach. Learn. Res. 17, 1–49. doi: 10.1007/978-0-387-69765-9_7

National Research Council (2000). How People Learn: Brain, Mind, Experience, and School: Expanded Edition. Washington, DC: National Academies Press, doi: 10.17226/9853

Richardson, J. C., and Swan, K. (2019). Examining social presence in online courses in relation to students’ perceived learning and satisfaction. Online Learn. 7, 68–88. doi: 10.24059/olj.v7i1.1864

Shea, P., Pickett, A. M., and Pelz, W. E. (2019). A Follow-up investigation of ‘teaching presence’ in the suny learning network. Online Learn. 7, 73–75. doi: 10.24059/olj.v7i2.1856

Shekhar, P., Borrego, M., DeMonbrun, M., Finelli, C., Crockett, C., and Nguyen, K. (2020). Negative student response to active learning in STEM classrooms: a systematic review of underlying reasons. J. Coll. Sci. Teach. 49, 45–54.

Short, J., Williams, E., and Christie, B. (1976). The Social Psychology of Telecommunications. London: John Wiley & Sons.

Tu, C.-H. (2002). The measurement of social presence in an online learning environment. Int. J. E Learn. 1, 34–45. doi: 10.17471/2499-4324/421

Zull, J. E. (2002). The Art of Changing the Brain: Enriching Teaching by Exploring the Biology of Learning , 1st Edn. Sterling, VA: Stylus Publishing.

Keywords : online learning, COVID-19, active learning, higher education, pedagogy, survey, international

Citation: Nguyen T, Netto CLM, Wilkins JF, Bröker P, Vargas EE, Sealfon CD, Puthipiroj P, Li KS, Bowler JE, Hinson HR, Pujar M and Stein GM (2021) Insights Into Students’ Experiences and Perceptions of Remote Learning Methods: From the COVID-19 Pandemic to Best Practice for the Future. Front. Educ. 6:647986. doi: 10.3389/feduc.2021.647986

Received: 30 December 2020; Accepted: 09 March 2021; Published: 09 April 2021.

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Copyright © 2021 Nguyen, Netto, Wilkins, Bröker, Vargas, Sealfon, Puthipiroj, Li, Bowler, Hinson, Pujar and Stein. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Geneva M. Stein, [email protected]

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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Navigating the new normal: adapting online and distance learning in the post-pandemic era.

1. Introduction

1.1. background, 1.2. purpose of the review.

• Highlighting the multifaceted impact of the pandemic on education, including the disruptions caused by school closures and the subsequent shift to remote learning [ 1 ].
• Exploring innovative approaches and strategies employed by educators to ensure effective online teaching and learning experiences [ 2 , 4 ].
• Examining the role of technological solutions and platforms in facilitating remote education and their effectiveness in supporting teaching and learning processes [ 4 ].
• Investigating strategies for promoting student engagement and participation in virtual classrooms, considering the unique challenges and opportunities presented by online and distance learning [ 2 , 3 ].
• Evaluating the various assessment and evaluation methods employed in online education, considering their validity, reliability, and alignment with learning outcomes [ 4 ].
• Discussing the importance of supporting student well-being and academic success in the digital environment, addressing the social and emotional aspects of remote learning [ 3 ].
• Examining the professional development opportunities and resources available for educators to enhance their skills in online teaching and adapt to the changing educational landscape [ 4 ].
• Addressing equity and accessibility considerations in online and distance learning, developing strategies to ensure equitable opportunities for all learners and mitigate the digital divide [ 1 , 2 ].
• Identifying key lessons learned and best practices from the experiences of educators and students during the pandemic, providing insights for future educational practices [ 1 , 4 ].
• Discussing the potential for educational innovation and transformations in teaching and learning practices in the post-pandemic era, considering the lessons learned from the rapid transition to online and distance learning [ 4 ].

1.3. Significance of the Study

• To provide a comprehensive understanding of the impact of the pandemic on education. UNESCO (2020) reported that the widespread school closures caused by the pandemic disrupted traditional education practices and posed significant challenges for students, educators, and families [ 1 ]. As such, understanding the multifaceted impact of the pandemic is crucial for effective decision making and policy development.
• To highlight innovative approaches to online teaching and learning. Hodges et al. [ 4 ] emphasized the importance of instructional design principles and the use of educational technology tools in facilitating effective online education [ 4 ] by examining strategies employed by educators during the pandemic. This review paper aims to identify successful practices that can be applied in future online and blended learning environments.
• To explore the role of technology in supporting remote education. The rapid transition to online and distance learning has required the use of various technological solutions and platforms. With reference to this subject, Hodges et al. (2020) discussed the difference between emergency remote teaching and online learning, highlighting the importance of leveraging technology to create engaging and interactive virtual classrooms [ 4 ].
• To address equity and accessibility considerations. The pandemic has exacerbated existing inequities in access to education and technology. On this line, UNESCO (2020) emphasized the need to address equity issues and bridge the digital divide to ensure equitable opportunities for all learners. This review paper examines strategies and interventions aimed at promoting equitable access to online and distance learning.
• To provide insights for future educational practices by analyzing experiences, challenges, and successes encountered during the transition to online and distance learning. This review paper aims to provide valuable insights for educators, policymakers, and researchers. So, lessons learned from the pandemic can inform the development of effective educational policies, teacher training programs, and support systems for students.

1.4. Methodology of Search

2. impact of the covid-19 pandemic on education, 3. transitioning from traditional classrooms to online and distance learning, 4. challenges faced by educators during the lockdown period, 5. strategies for effective online teaching and learning, 6. technological solutions and platforms for remote education, 7. promoting student engagement and participation in the virtual classroom, 8. assessments and evaluation methods in online education, 9. supporting student well-being and academic success in the digital environment, 10. professional development for educators in online teaching, 11. addressing equity and accessibility in online and distance learning, 12. lessons learned and best practices for future educational practices, 13. innovations and transformations in education post-pandemic, 14. policy implications and recommendations for effective online education, 15. ethical considerations in online and distance learning, 16. innovations and practical applications in post-pandemic educational strategies.

• Impact Analysis Tools: Develop analytical tools to quantify the educational disruptions caused by the pandemic, focusing on metrics like attendance, engagement, and performance shifts due to remote learning.
• Online Pedagogy Workshops: Create workshops for educators to share and learn innovative online teaching strategies, focusing on interactivity, student-centered learning, and curriculum adaptation for virtual environments.
• Tech-Integration Frameworks: Develop frameworks for integrating and evaluating the effectiveness of various technological solutions in remote education, including LMS, interactive tools, and AI-based learning supports.
• Engagement-Boosting Platforms: Create platforms or tools that specifically target student engagement in virtual classrooms, incorporating gamification, interactive content, and real-time feedback mechanisms.
• Assessment Methodology Guides: Develop guidelines or toolkits for educators to design and implement valid and reliable online assessments aligned with learning outcomes.
• Well-being Monitoring Systems: Implement systems to monitor and support student well-being in digital learning environments, incorporating mental health resources and social-emotional learning components.
• Professional Development Portals: Develop online portals offering continuous professional development opportunities for educators, focusing on upskilling in digital pedagogy, content creation, and adaptive learning technologies.
• Equity and Accessibility Strategies: Formulate and implement strategies to ensure equitable access to online and distance learning, addressing the digital divide through resource distribution, adaptive technologies, and inclusive curriculum design.
• Best Practices Repository: Create a repository of best practices and lessons learned from the pandemic’s educational challenges, serving as a resource for future educational planning and crisis management.
• Post-Pandemic Educational Innovation Labs: Establish innovation labs to explore and pilot new teaching and learning practices in the post-pandemic era, emphasizing the integration of traditional and digital pedagogies.

17. Conclusions: Navigating the Path Forward in Online Education

Author contributions, institutional review board statement, informed consent statement, data availability statement, conflicts of interest.

• Reuge, N.; Jenkins, R.; Brossard, M.; Soobrayan, B.; Mizunoya, S.; Ackers, J.; Jones, L.; Taulo, W.G. Education response to COVID 19 pandemic, a special issue proposed by UNICEF: Editorial review. Int. J. Educ. Dev. 2021 , 87 , 102485. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Wang, C.; Cheng, Z.; Yue, X.-G.; McAleer, M. Risk Management of COVID-19 by Universities in China. J. Risk Financ. Manag. 2020 , 13 , 36. [ Google Scholar ] [ CrossRef ]
• Bao, W. COVID-19 and Online Teaching in Higher Education: A Case Study of Peking University. Hum. Behav. Emerg. Technol. 2020 , 2 , 113–115. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Hodges, C.B.; Moore, S.; Lockee, B.B.; Trust, T.; Bond, M.A. The Difference between Emergency Remote Teaching and Online Learning ; Educause: Boulder, CO, USA, 2020. [ Google Scholar ]
• Bashir, A.; Bashir, S.; Rana, K.; Lambert, P.; Vernallis, A. Post-COVID-19 Adaptations; the Shifts towards Online Learning, Hybrid Course Delivery and the Implications for Biosciences Courses in the Higher Education Setting. Front. Educ. 2021 , 6 , 310. [ Google Scholar ] [ CrossRef ]
• Akpa, V.O.; Akinosi, J.R.; Nwankwere, I.A.; Makinde, G.O.; Ajike, E.O. Strategic Innovation, Digital Dexterity and Service Quality of Selected Quoted Deposit Money Banks in Nigeria. Eur. J. Bus. Innov. Res. 2022 , 10 , 15–35. [ Google Scholar ]
• Loades, M.E.; Chatburn, E.; Higson-Sweeney, N.; Reynolds, S.; Shafran, R.; Brigden, A.; Linney, C.; McManus, M.N.; Borwick, C.; Crawley, E. Rapid Systematic Review: The Impact of Social Isolation and Loneliness on the Mental Health of Children and Adolescents in the Context of COVID-19. J. Am. Acad. Child Adolesc. Psychiatry 2020 , 59 , 1218–1239.e3. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Van Lancker, W.; Parolin, Z. COVID-19, School Closures, and Child Poverty: A Social Crisis in the Making. Lancet Public Health 2020 , 5 , e243–e244. [ Google Scholar ] [ CrossRef ]
• Brooks, S.K.; Webster, R.K.; Smith, L.E.; Woodland, L.; Wessely, S.; Greenberg, N.; Rubin, G.J. The Psychological Impact of Quarantine and How to Reduce It: Rapid Review of the Evidence. Lancet 2020 , 395 , 912–920. [ Google Scholar ] [ CrossRef ]
• Padmanabhanunni, A.; Pretorius, T.B. Teacher Burnout in the Time of COVID-19: Antecedents and Psychological Consequences. Int. J. Environ. Res. Public Health 2023 , 20 , 4204. [ Google Scholar ] [ CrossRef ]
• Al Lily, A.E.; Ismail, A.F.; Abunasser, F.M.; Alhajhoj Alqahtani, R.H. Distance Education as a Response to Pandemics: Coronavirus and Arab Culture. Technol. Soc. 2020 , 63 , 101317. [ Google Scholar ] [ CrossRef ]
• Means, B.; Toyama, Y.; Murphy, R.; Bakia, M.; Jones, K. Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies ; Centre for Learning Technology: Hong Kong, China, 2009. [ Google Scholar ]
• Picciano, A.G. Theories and Frameworks for Online Education: Seeking an Integrated Model. In A Guide to Administering Distance Learning ; Brill: Leiden, The Netherlands, 2021; pp. 79–103. [ Google Scholar ]
• Burgstahler, S.E.; Cory, R.C. Universal Design in Higher Education: From Principles to Practice ; Harvard Education Press: Cambridge, MA, USA, 2010. [ Google Scholar ]
• Nicol, D.J.; Macfarlane-Dick, D. Formative Assessment and Self-regulated Learning: A Model and Seven Principles of Good Feedback Practice. Stud. High. Educ. 2006 , 31 , 199–218. [ Google Scholar ] [ CrossRef ]
• Stodel, E.J.; Thompson, T.L.; MacDonald, C.J. Learners’ Perspectives on What Is Missing from Online Learning: Interpretations through the Community of Inquiry Framework. Int. Rev. Res. Open Distrib. Learn. 2006 , 7 , 1–24. [ Google Scholar ] [ CrossRef ]
• Richardson, J.C.; Maeda, Y.; Lv, J.; Caskurlu, S. Social Presence in Relation to Students’ Satisfaction and Learning in the Online Environment: A Meta-Analysis. Comput. Hum. Behav. 2017 , 71 , 402–417. [ Google Scholar ] [ CrossRef ]
• Mayer, R.E. Using Multimedia for E-learning. J. Comput. Assist. Learn. 2017 , 33 , 403–423. [ Google Scholar ] [ CrossRef ]
• Swan, K. Building Learning Communities in Online Courses: The Importance of Interaction. Educ. Commun. Inf. 2002 , 2 , 23–49. [ Google Scholar ] [ CrossRef ]
• Sato, S.N.; Condes Moreno, E.; Villanueva, A.R.; Orquera Miranda, P.; Chiarella, P.; Bermudez, G.; Aguilera, J.F.T.; Clemente-Suárez, V.J. Psychological Impacts of Teaching Models on Ibero-American Educators during COVID-19. Behav. Sci. 2023 , 13 , 957. [ Google Scholar ] [ CrossRef ]
• Dennen, V.P.; Burner, K.J. The Cognitive Apprenticeship Model in Educational Practice. In Handbook of Research on Educational Communications and Technology ; Routledge: Oxfordshire, UK, 2008; pp. 425–439. [ Google Scholar ]
• Alturki, U.; Aldraiweesh, A. Application of Learning Management System (LMS) during the COVID-19 Pandemic: A Sustainable Acceptance Model of the Expansion Technology Approach. Sustainability 2021 , 13 , 10991. [ Google Scholar ] [ CrossRef ]
• Sun, A.; Chen, X. Online Education and Its Effective Practice: A Research Review. J. Inf. Technol. Educ. 2016 , 15 , 157–190. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• AIKTC; CITEL. Three Days National Conference on Innovative Teaching & Exuberant Learning (NCiTeL 2021) ; AIKTC: Navi Mumbai, India, 2021. [ Google Scholar ]
• Coggi, C. Innovare La Didattica e La Valutazione in Università: Il Progetto IRIDI per La Formazione Dei Docenti. In Innovare la Didattica e la Valutazione in Università ; Franco Angeli Edizioni: Milano, Italy, 2019; pp. 1–361. [ Google Scholar ]
• Hawa, D.M.; Ghoniem, E.; Saad, A.M. Integrating Problem-Based Learning Into Blended Learning To Enhance Students’ Programming Skills. J. Posit. Sch. Psychol. 2022 , 6 , 4479–4497. [ Google Scholar ]
• Lee, E.; Hannafin, M.J. A Design Framework for Enhancing Engagement in Student-Centered Learning: Own It, Learn It, and Share It. Educ. Technol. Res. Dev. 2016 , 64 , 707–734. [ Google Scholar ] [ CrossRef ]
• Mayer, R.E. How Multimedia Can Improve Learning and Instruction. In The Cambridge Handbook of Cognition and Education ; Cambridge University Press: Cambridge, UK, 2019. [ Google Scholar ]
• Dillenbourg, P.; Järvelä, S.; Fischer, F. The Evolution of Research on Computer-Supported Collaborative Learning BT-Technology-Enhanced Learning: Principles and Products ; Balacheff, N., Ludvigsen, S., de Jong, T., Lazonder, A., Barnes, S., Eds.; Springer: Dordrecht, The Netherlands, 2009. [ Google Scholar ]
• McNair, D.E.; Palloff, R.M.; Pratt, K. Lessons from the Virtual Classroom: The Realities of Online Teaching ; SAGE Publications: Los Angeles, CA, USA, 2015. [ Google Scholar ]
• Baran, E.; Correia, A.-P. A Professional Development Framework for Online Teaching. TechTrends 2014 , 58 , 95–101. [ Google Scholar ] [ CrossRef ]
• Gikandi, J.W.; Morrow, D.; Davis, N.E. Online Formative Assessment in Higher Education: A Review of the Literature. Comput. Educ. 2011 , 57 , 2333–2351. [ Google Scholar ] [ CrossRef ]
• Conole, G. Designing for Learning in an Open World ; Springer Science & Business Media: Berlin/Heidelberg, Germany, 2012; Volume 4. [ Google Scholar ]
• Black, P.; Wiliam, D. The Formative Purpose: Assessment Must First Promote Learning. Yearb. Natl. Soc. Study Educ. 2004 , 103 , 20–50. [ Google Scholar ] [ CrossRef ]
• Ruiz-Primo, M.A.; Briggs, D.; Iverson, H.; Talbot, R.; Shepard, L.A. Impact of Undergraduate Science Course Innovations on Learning. Science 2011 , 331 , 1269–1270. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Ismail, S.M.; Rahul, D.R.; Patra, I.; Rezvani, E. Formative vs. Summative Assessment: Impacts on Academic Motivation, Attitude toward Learning, Test Anxiety, and Self-Regulation Skill. Lang. Test. Asia 2022 , 12 , 40. [ Google Scholar ] [ CrossRef ]
• Nitko, A.J. Educational Assessment of Students ; ERIC: Washington, DC, USA, 1996. [ Google Scholar ]
• Cherner, T.; Halpin, P. Determining the Educational Value of Virtual Reality Apps Using Content Analysis. J. Interact. Learn. Res. 2021 , 32 , 245–280. [ Google Scholar ]
• Pirker, B.; Smolka, J. International Law and Linguistics: Pieces of an Interdisciplinary Puzzle. J. Int. Disput. Settl. 2020 , 11 , 501–521. [ Google Scholar ] [ CrossRef ]
• Panda, S. Analyzing Effectiveness of Learning Management System in Present Scenario: Conceptual Background and Practical Implementation. Int. J. Innov. Res. Adv. Stud. 2020 , 7 , 40–50. [ Google Scholar ]
• Coghlan, S.; Miller, T.; Paterson, J. Good Proctor or “Big Brother”? Ethics of Online Exam Supervision Technologies. Philos. Technol. 2021 , 34 , 1581–1606. [ Google Scholar ] [ CrossRef ]
• Shute, V.J.; Rahimi, S. Review of Computer-based Assessment for Learning in Elementary and Secondary Education. J. Comput. Assist. Learn. 2017 , 33 , 1–19. [ Google Scholar ] [ CrossRef ]
• Landers, R.N.; Callan, R.C. Casual Social Games as Serious Games: The Psychology of Gamification in Undergraduate Education and Employee Training. In Serious Games and Edutainment Applications ; Springer: London, UK, 2011; pp. 399–423. [ Google Scholar ]
• Hattie, J.; Timperley, H. The Power of Feedback. Rev. Educ. Res. 2007 , 77 , 81–112. [ Google Scholar ] [ CrossRef ]
• Schraw, G.; Crippen, K.J.; Hartley, K. Promoting Self-Regulation in Science Education: Metacognition as Part of a Broader Perspective on Learning. Res. Sci. Educ. 2006 , 36 , 111–139. [ Google Scholar ] [ CrossRef ]
• Przybylski, A.K.; Murayama, K.; DeHaan, C.R.; Gladwell, V. Motivational, Emotional, and Behavioral Correlates of Fear of Missing Out. Comput. Hum. Behav. 2013 , 29 , 1841–1848. [ Google Scholar ] [ CrossRef ]
• Bereznowski, P.; Atroszko, P.A.; Konarski, R. Work Addiction, Work Engagement, Job Burnout, and Perceived Stress: A Network Analysis. Front. Psychol. 2023 , 14 , 1130069. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Brock, A. Mitigating Burnout and Promoting Professional Well-Being in Advisors. In Academic Advising Administration ; Routledge: Oxfordshire, UK, 2023; pp. 332–344. [ Google Scholar ]
• Rovai, A.P.; Barnum, K.T. On-Line Course Effectiveness: An Analysis of Student Interactions and Perceptions of Learning. Int. J. E-Learn. Distance Educ. Int. Du E-Learn. La Form. Distance 2003 , 18 , 57–73. [ Google Scholar ]
• Topping, K.J. Trends in Peer Learning. Educ. Psychol. 2005 , 25 , 631–645. [ Google Scholar ] [ CrossRef ]
• Shea, P.; Li, C.S.; Pickett, A. A Study of Teaching Presence and Student Sense of Learning Community in Fully Online and Web-Enhanced College Courses. Internet High. Educ. 2006 , 9 , 175–190. [ Google Scholar ] [ CrossRef ]
• Wiggins, G. Educative Assessment. Designing Assessments To Inform and Improve Student Performance ; ERIC: Washington, DC, USA, 1998. [ Google Scholar ]
• Yukselturk, E.; Bulut, S. Predictors for Student Success in an Online Course. J. Educ. Technol. Soc. 2007 , 10 , 71–83. [ Google Scholar ]
• Deci, E.L.; Ryan, R.M. The “What” and “Why” of Goal Pursuits: Human Needs and the Self-Determination of Behavior. Psychol. Inq. 2000 , 11 , 227–268. [ Google Scholar ] [ CrossRef ]
• Locke, E.A.; Latham, G.P. A Theory of Goal Setting & Task Performance ; Prentice-Hall, Inc.: Hoboken, NJ, USA, 1990. [ Google Scholar ]
• Salmon, G. E-Tivities: The Key to Active Online Learning ; Routledge: Oxfordshire, UK, 2013. [ Google Scholar ]
• Koehler, M.; Mishra, P. What Is Technological Pedagogical Content Knowledge (TPACK)? Contemp. Issues Technol. Teach. Educ. 2009 , 9 , 60–70. [ Google Scholar ] [ CrossRef ]
• Petretto, D.R.; Carta, S.M.; Cataudella, S.; Masala, I.; Mascia, M.L.; Penna, M.P.; Piras, P.; Pistis, I.; Masala, C. The Use of Distance Learning and E-Learning in Students with Learning Disabilities: A Review on the Effects and Some Hint of Analysis on the Use during COVID-19 Outbreak. Clin. Pract. Epidemiol. Ment. Health 2021 , 17 , 92–102. [ Google Scholar ] [ CrossRef ]
• Lodder, J.; Heeren, B.; Jeuring, J. A Comparison of Elaborated and Restricted Feedback in LogEx, a Tool for Teaching Rewriting Logical Formulae. J. Comput. Assist. Learn. 2019 , 35 , 620–632. [ Google Scholar ] [ CrossRef ]
• Kocdar, S.; Bozkurt, A. Supporting Learners with Special Needs in Open, Distance, and Digital Education. In Handbook of Open, Distance and Digital Education ; Springer: Singapore, 2022; pp. 1–16. [ Google Scholar ]
• Tsai, Y.-S.; Rates, D.; Moreno-Marcos, P.M.; Muñoz-Merino, P.J.; Jivet, I.; Scheffel, M.; Drachsler, H.; Kloos, C.D.; Gašević, D. Learning Analytics in European Higher Education—Trends and Barriers. Comput. Educ. 2020 , 155 , 103933. [ Google Scholar ] [ CrossRef ]
• Ladson-Billings, G. Culturally Relevant Pedagogy 2.0: Aka the Remix. Harv. Educ. Rev. 2014 , 84 , 74–84. [ Google Scholar ] [ CrossRef ]
• Means, B.; Bakia, M.; Murphy, R. Learning Online: What Research Tells Us about Whether, When and How ; Routledge: Oxfordshire, UK, 2014. [ Google Scholar ]
• Gray, J.A.; DiLoreto, M. The Effects of Student Engagement, Student Satisfaction, and Perceived Learning in Online Learning Environments. Int. J. Educ. Leadersh. Prep. 2016 , 11 , n1. [ Google Scholar ]
• Garrison, D.R.; Cleveland-Innes, M. Facilitating Cognitive Presence in Online Learning: Interaction Is Not Enough. Am. J. Distance Educ. 2005 , 19 , 133–148. [ Google Scholar ] [ CrossRef ]
• Darling-Hammond, L.; Hyler, M.E.; Gardner, M. Effective Teacher Professional Development ; Learning Policy Institute: Palo Alto, CA, USA, 2017. [ Google Scholar ]
• Garrison, D.R.; Vaughan, N.D. Blended Learning in Higher Education: Framework, Principles, and Guidelines ; John Wiley & Sons: Hoboken, NJ, USA, 2008. [ Google Scholar ]
• Vygotsky, L.S.; Cole, M. Mind in Society: Development of Higher Psychological Processes ; Harvard University Press: Cambridge, MA, USA, 1978. [ Google Scholar ]
• Burlacu, M.; Coman, C.; Bularca, M.C. Blogged into the System: A Systematic Review of the Gamification in e-Learning before and during the COVID-19 Pandemic. Sustainability 2023 , 15 , 6476. [ Google Scholar ] [ CrossRef ]
• Yamani, H.A. A Conceptual Framework for Integrating Gamification in eLearning Systems Based on Instructional Design Model. Int. J. Emerg. Technol. Learn. 2021 , 16 , 14. [ Google Scholar ] [ CrossRef ]
• Siemens, G.; Baker, R.S.J.d. Learning Analytics and Educational Data Mining: Towards Communication and Collaboration. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, Vancouver, BC, Canada, 29 April–2 May 2012; pp. 252–254. [ Google Scholar ]
• Li, L. Reskilling and Upskilling the Future-Ready Workforce for Industry 4.0 and Beyond. Inf. Syst. Front. 2022 . [ Google Scholar ] [ CrossRef ]
• Lythreatis, S.; Singh, S.K.; El-Kassar, A.-N. The Digital Divide: A Review and Future Research Agenda. Technol. Forecast. Soc. Change 2022 , 175 , 121359. [ Google Scholar ] [ CrossRef ]
• Tawfik, A.A.; Shepherd, C.E.; Gatewood, J.; Gish-Lieberman, J.J. First and Second Order Barriers to Teaching in K-12 Online Learning. TechTrends 2021 , 65 , 925–938. [ Google Scholar ] [ CrossRef ]
• Muñoz, F.; Matus, O.; Pérez, C.; Fasce, E. Blended Learning y El Desarrollo de La Comunicación Científica En Un Programa de Especialización Dental. Investig. En Educ. Médica 2017 , 6 , 180–189. [ Google Scholar ] [ CrossRef ]
• Barbour, M.K. Introducing a Special Collection of Papers on K-12 Online Learning and Continuity of Instruction after Emergency Remote Teaching. TechTrends 2022 , 66 , 298–300. [ Google Scholar ] [ CrossRef ]
• Khalil, M.; Slade, S.; Prinsloo, P. Learning Analytics in Support of Inclusiveness and Disabled Students: A Systematic Review. J. Comput. High. Educ. 2023 , 1–18. [ Google Scholar ] [ CrossRef ]
• Prinsloo, P.; Slade, S. Student Privacy Self-Management: Implications for Learning Analytics. In Proceedings of the Fifth International Conference on Learning Analytics and Knowledge, Poughkeepsie, NY, USA, 16–20 March 2015; pp. 83–92. [ Google Scholar ]
• Watson, G.R.; Sottile, J. Cheating in the Digital Age: Do Students Cheat More in Online Courses? Online J. Distance Learn. Adm. 2010 , 13 , 798–803. [ Google Scholar ]
• Bhattacharya, S.; Murthy, V.; Bhattacharya, S. The Social and Ethical Issues of Online Learning during the Pandemic and Beyond. Asian J. Bus. Ethics 2022 , 11 , 275–293. [ Google Scholar ] [ CrossRef ]
• Yadav, K.K.; Reddy, L.J. Psychological effects of technology on college students. J. Clin. Otorhinolaryngol. Head Neck Surg. 2023 , 27 , 1805–1816. [ Google Scholar ]
• Martin, F.; Bolliger, D.U. Engagement Matters: Student Perceptions on the Importance of Engagement Strategies in the Online Learning Environment. Online Learn. 2018 , 22 , 205–222. [ Google Scholar ] [ CrossRef ]
• Clemente-Suárez, V.J.; Dalamitros, A.A.; Beltran-Velasco, A.I.; Mielgo-Ayuso, J.; Tornero-Aguilera, J.F. Social and psychophysiological consequences of the COVID-19 pandemic: An extensive literature review. Front. Psychol. 2020 , 11 , 3077. [ Google Scholar ] [ CrossRef ]
• Clemente-Suárez, V.J.; Navarro-Jiménez, E.; Jimenez, M.; Hormeño-Holgado, A.; Martinez-Gonzalez, M.B.; Benitez-Agudelo, J.C.; Perez-Palencia, N.; Laborde-Cárdenas, C.C.; Tornero-Aguilera, J.F. Impact of COVID-19 Pandemic in Public Mental Health: An Extensive Narrative Review. Sustainability 2021 , 13 , 3221. [ Google Scholar ] [ CrossRef ]
• Clemente-Suárez, V.J.; Navarro-Jiménez, E.; Moreno-Luna, L.; Saavedra-Serrano, M.C.; Jimenez, M.; Simón, J.A.; Tornero-Aguilera, J.F. The Impact of the COVID-19 Pandemic on Social, Health, and Economy. Sustainability 2021 , 13 , 6314. [ Google Scholar ] [ CrossRef ]
• Rodriguez-Besteiro, S.; Beltran-Velasco, A.I.; Tornero-Aguilera, J.F.; Martínez-González, M.B.; Navarro-Jiménez, E.; Yáñez-Sepúlveda, R.; Clemente-Suárez, V.J. Social Media, Anxiety and COVID-19 Lockdown Measurement Compliance. Int. J. Environ. Res. Public Health 2023 , 20 , 4416. [ Google Scholar ] [ CrossRef ]
• Clemente-Suárez, V.J.; Navarro-Jiménez, E.; Simón-Sanjurjo, J.A.; Beltran-Velasco, A.I.; Laborde-Cárdenas, C.C.; Benitez-Agudelo, J.C.; Bustamante-Sánchez, Á.; Tornero-Aguilera, J.F. Mis–Dis Information in COVID-19 Health Crisis: A Narrative Review. Int. J. Environ. Res. Public Health 2022 , 19 , 5321. [ Google Scholar ] [ CrossRef ]
• Clemente-Suárez, V.J.; Navarro-Jiménez, E.; Ruisoto, P.; Dalamitros, A.A.; Beltran-Velasco, A.I.; Hormeño-Holgado, A.; Laborde-Cárdenas, C.C.; Tornero-Aguilera, J.F. Performance of Fuzzy Multi-Criteria Decision Analysis of Emergency System in COVID-19 Pandemic. An Extensive Narrative Review. Int. J. Environ. Res. Public Health 2021 , 18 , 5208. [ Google Scholar ] [ CrossRef ]
• Sato, S.N.; Condes Moreno, E.; Rico Villanueva, A.; Orquera Miranda, P.; Chiarella, P.; Tornero-Aguilera, J.F.; Clemente-Suárez, V.J. Cultural Differences between University Students in Online Learning Quality and Psychological Profile during COVID-19. J. Risk Financ. Manag. 2022 , 15 , 555. [ Google Scholar ] [ CrossRef ]
• Nomie-Sato, S.; Condes Moreno, E.; Villanueva, A.R.; Chiarella, P.; Tornero-Aguilera, J.F.; Beltrán-Velasco, A.I.; Clemente-Suárez, V.J. Gender Differences of University Students in the Online Teaching Quality and Psychological Profile during the COVID-19 Pandemic. Int. J. Environ. Res. Public Health 2022 , 19 , 14729. [ Google Scholar ] [ CrossRef ]
• Williamson, B.; Macgilchrist, F.; Potter, J. COVID-19 controversies and critical research in digital education. Learn. Media Technol. 2021 , 46 , 117–127. [ Google Scholar ] [ CrossRef ]
• Brammer, S.; Clark, T. COVID-19 and management education: Reflections on challenges, opportunities, and potential futures. Br. J. Manag. 2020 , 31 , 453. [ Google Scholar ] [ CrossRef ]
• Peytcheva-Forsyth, R.V.; Aleksieva, L.K. The effect of the teachers’ experience in online education during the pandemic on their views of strengths and weaknesses of e-learning (SU case). In Proceedings of the 22nd International Conference on Computer Systems and Technologies, Ruse, Bulgaria, 18–19 June 2021; pp. 1–11. [ Google Scholar ]
• Nguyen, T.; Netto, C.L.M.; Wilkins, J.F.; Bröker, P.; Vargas, E.E.; Sealfon, C.D.; Puthipiroj, P.; Li, K.S.; Bowler, J.E.; Hinson, H.R.; et al. Insights into students’ experiences and perceptions of remote learning methods: From the COVID-19 pandemic to best practice for the future. Front. Educ. 2021 , 6 , 91. [ Google Scholar ] [ CrossRef ]
• Goudeau, S.; Sanrey, C.; Stanczak, A.; Manstead, A.; Darnon, C. Why lockdown and distance learning during the COVID-19 pandemic are likely to increase the social class achievement gap. Nat. Hum. Behav. 2021 , 5 , 1273–1281. [ Google Scholar ] [ CrossRef ]
• Zhang, J.; Ding, Y.; Yang, X.; Zhong, J.; Qiu, X.; Zou, Z.; Xu, Y.; Jin, X.; Wu, X.; Huang, J.; et al. COVID-19′s impacts on the scope, effectiveness, and interaction characteristics of online learning: A social network analysis. PLoS ONE 2022 , 17 , e0273016. [ Google Scholar ] [ CrossRef ]
• Munoz-Najar, A.; Gilberto, A.; Hasan, A.; Cobo, C.; Azevedo, J.P.; Akmal, M. Remote Learning during COVID-19: Lessons from Today, Principles for Tomorrow ; World Bank: Washington, DC, USA, 2021. [ Google Scholar ]

Share and Cite

Sato, S.N.; Condes Moreno, E.; Rubio-Zarapuz, A.; Dalamitros, A.A.; Yañez-Sepulveda, R.; Tornero-Aguilera, J.F.; Clemente-Suárez, V.J. Navigating the New Normal: Adapting Online and Distance Learning in the Post-Pandemic Era. Educ. Sci. 2024 , 14 , 19. https://doi.org/10.3390/educsci14010019

Sato SN, Condes Moreno E, Rubio-Zarapuz A, Dalamitros AA, Yañez-Sepulveda R, Tornero-Aguilera JF, Clemente-Suárez VJ. Navigating the New Normal: Adapting Online and Distance Learning in the Post-Pandemic Era. Education Sciences . 2024; 14(1):19. https://doi.org/10.3390/educsci14010019

Sato, Simone Nomie, Emilia Condes Moreno, Alejandro Rubio-Zarapuz, Athanasios A. Dalamitros, Rodrigo Yañez-Sepulveda, Jose Francisco Tornero-Aguilera, and Vicente Javier Clemente-Suárez. 2024. "Navigating the New Normal: Adapting Online and Distance Learning in the Post-Pandemic Era" Education Sciences 14, no. 1: 19. https://doi.org/10.3390/educsci14010019

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Reap What You Sow: Lived Experiences of Modular Learners in The New Norm

13 Pages Posted: 27 Aug 2021 Last revised: 3 Sep 2021

Narciso A Martin Jr

Pangasinan State University

Randy Joy Magno Ventayen

Mignodel m morales.

Lyceum of the Philippines University (LPU)

Date Written: December 18, 2020

The prevailing health crisis shifted the paradigm of education, which abruptly changes the teaching-learning modalities from a traditional Face-to-Face approach to a Modular Distance Learning Modality (MDLM) to ensure the safety and well-being of High School teachers and learners. The researchers aimed to explore learners' lived experiences through a modular approach and created a learning model (Bud of Learning: The Ecosystem of Modular Teaching) to enhance teaching modalities. The researchers utilized interpretative phenomenology through open-ended questions. The instrument solicited consent through an online platform to 6 teachers, 54 parents, and 20 purposively selected learners of the Department of Education. Based on the emerged themes, the 20 participants unanimously favored Face-to-Face over the modular approach, such as a budding plant needing a sower's personal touch. It enabled faster learning based on experience and real-time feedback from the teacher to learners, which observed plants that given enough time and effort. The researchers concluded that many difficulties of modular implementation affect the bio-psychosocial of learners' individuality. This study recommended creating a holistic teaching approach through synchronous and blended experiential learning, increasing partnership with stakeholders, and ensuring accessibility of Learning Resources (LRs) and Instructional Materials (IMs).

Keywords: lived experiences, modular learning, phenomenology, quality education, quality learner

Suggested Citation: Suggested Citation

Narciso A Martin Jr (Contact Author)

Pangasinan state university ( email ).

Asingan, Pangasinan, Philippines Pangasinan 2439 Philippines

Bayambang, Pangasinan, Philippines Pangasinan Philippines

Lyceum of the Philippines University (LPU) ( email )

Capitol Site Batangas City, 4200 Philippines

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Assessing Cognitive Factors of Modular Distance Learning of K-12 Students Amidst the COVID-19 Pandemic towards Academic Achievements and Satisfaction

Yung-tsan jou.

1 Department of Industrial and Systems Engineering, Chung Yuan Christian University, Taoyuan 320, Taiwan; wt.ude.ucyc@uojty (Y.-T.J.); moc.oohay@enimrahcrolfas (C.S.S.)

Klint Allen Mariñas

2 School of Industrial Engineering and Engineering Management, Mapua University, Manila 1002, Philippines

3 Department of Industrial Engineering, Occidental Mindoro State College, San Jose 5100, Philippines

Charmine Sheena Saflor

Associated data.

Not applicable.

The COVID-19 pandemic brought extraordinary challenges to K-12 students in using modular distance learning. According to Transactional Distance Theory (TDT), which is defined as understanding the effects of distance learning in the cognitive domain, the current study constructs a theoretical framework to measure student satisfaction and Bloom’s Taxonomy Theory (BTT) to measure students’ academic achievements. This study aims to evaluate and identify the possible cognitive capacity influencing K-12 students’ academic achievements and satisfaction with modular distance learning during this new phenomenon. A survey questionnaire was completed through an online form by 252 K-12 students from the different institutions of Occidental Mindoro. Using Structural Equation Modeling (SEM), the researcher analyses the relationship between the dependent and independent variables. The model used in this research illustrates cognitive factors associated with adopting modular distance learning based on students’ academic achievements and satisfaction. The study revealed that students’ background, experience, behavior, and instructor interaction positively affected their satisfaction. While the effects of the students’ performance, understanding, and perceived effectiveness were wholly aligned with their academic achievements. The findings of the model with solid support of the integrative association between TDT and BTT theories could guide decision-makers in institutions to implement, evaluate, and utilize modular distance learning in their education systems.

1. Introduction

The 2019 coronavirus is the latest infectious disease to develop rapidly worldwide [ 1 ], affecting economic stability, global health, and education. Most countries have suspended thee-to-face classes in order to curb the spread of the virus and reduce infections [ 2 ]. One of the sectors impacted has been education, resulting in the suspension of face-to-face classes to avoid spreading the virus. The Department of Education (DepEd) has introduced modular distance learning for K-12 students to ensure continuity of learning during the COVID-19 pandemic. According to Malipot (2020), modular learning is one of the most popular sorts of distance learning alternatives to traditional face-to-face learning [ 3 ]. As per DepEd’s Learner Enrolment and Survey Forms, 7.2 million enrollees preferred “modular” remote learning, TV and radio-based practice, and other modalities, while two million enrollees preferred online learning. It is a method of learning that is currently being used based on the preferred distance learning mode of the students and parents through the survey conducted by the Department of Education (DepEd); this learning method is mainly done through the use of printed and digital modules [ 4 ]. It also concerns first-year students in rural areas; the place net is no longer available for online learning. Supporting the findings of Ambayon (2020), modular teaching within the teach-learn method is more practical than traditional educational methods because students learn at their own pace during this modular approach. This educational platform allows K-12 students to interact in self-paced textual matter or digital copy modules. With these COVID-19 outbreaks, some issues concerned students’ academic, and the factors associated with students’ psychological status during the COVID-19 lockdown [ 5 ].

Additionally, this new learning platform, modular distance learning, seems to have impacted students’ ability to discover and challenged their learning skills. Scholars have also paid close attention to learner satisfaction and academic achievement when it involves distance learning studies and have used a spread of theoretical frameworks to assess learner satisfaction and educational outcomes [ 6 , 7 ]. Because this study aimed to boost academic achievement and satisfaction in K-12 students, the researcher thoroughly applied transactional distance theory (TDT) to understand the consequences of distance in relationships in education. The TDT was utilized since it has the capability to establish the psychological and communication factors between the learners and the instructors in distance education that could eventually help researchers in identifying the variables that might affect students’ academic achievement and satisfaction [ 8 ]. In this view, distance learning is primarily determined by the number of dialogues between student and teacher and the degree of structuring of the course design. It contributes to the core objective of the degree to boost students’ modular learning experiences in terms of satisfaction. On the other hand, Bloom’s Taxonomy Theory (BTT) was applied to investigate the students’ academic achievements through modular distance learning [ 6 ]. Bloom’s theory was employed in addition to TDT during this study to enhance students’ modular educational experiences. Moreover, TDT was utilized to check students’ modular learning experiences in conjuction with enhacing students’ achievements.

This study aimed to detect the impact of modular distance learning on K-12 students during the COVID-19 pandemic and assess the cognitive factors affecting academic achievement and student satisfaction. Despite the challenging status of the COVID-19 outbreak, the researcher anticipated a relevant result of modular distance learning and pedagogical changes in students, including the cognitive factors identified during this paper as latent variables as possible predictors for the utilization of K-12 student academic achievements and satisfaction.

1.1. Theoretical Research Framework

This study used TDT to assess student satisfaction and Bloom’s theory to quantify academic achievement. It aimed to assess the impact of modular distance learning on academic achievement and student satisfaction among K-12 students. The Transactional Distance Theory (TDT) was selected for this study since it refers to student-instructor distance learning. TDT Moore (1993) states that distance education is “the universe of teacher-learner connections when learners and teachers are separated by place and time.” Moore’s (1990) concept of ”Transactional Distance” adopts the distance that occurs in all linkages in education, according to TDT Moore (1993). Transactional distance theory is theoretically critical because it states that the most important distance is transactional in distance education, rather than geographical or temporal [ 9 , 10 ]. According to Garrison (2000), transactional distance theory is essential in directing the complicated experience of a cognitive process such as distance teaching and learning. TDT evaluates the role of each of these factors (student perception, discourse, and class organization), which can help with student satisfaction research [ 11 ]. Bloom’s Taxonomy is a theoretical framework for learning created by Benjamin Bloom that distinguishes three learning domains: Cognitive domain skills center on knowledge, comprehension, and critical thinking on a particular subject. Bloom recognized three components of educational activities: cognitive knowledge (or mental abilities), affective attitude (or emotions), and psychomotor skills (or physical skills), all of which can be used to assess K-12 students’ academic achievement. According to Jung (2001), “Transactional distance theory provides a significant conceptual framework for defining and comprehending distance education in general and a source of research hypotheses in particular,” shown in Figure 1 [ 12 ].

Theoretical Research Framework.

1.2. Hypothesis Developments and Literature Review

This section will discuss the study hypothesis and relate each hypothesis to its related studies from the literature.

There is a significant relationship between students’ background and students’ behavior .

The teacher’s guidance is essential for students’ preparedness and readiness to adapt to a new educational environment. Most students opt for the Department of Education’s “modular” distance learning options [ 3 ]. Analyzing students’ study time is critical for behavioral engagement because it establishes if academic performance is the product of student choice or historical factors [ 13 ].

There is a significant relationship between students’ background and students’ experience .

Modules provide goals, experiences, and educational activities that assist students in gaining self-sufficiency at their speed. It also boosts brain activity, encourages motivation, consolidates self-satisfaction, and enables students to remember what they have learned [ 14 ]. Despite its success, many families face difficulties due to their parents’ lack of skills and time [ 15 ].

There is a significant relationship between students’ behavior and students’ instructor interaction .

Students’ capacity to answer problems reflects their overall information awareness [ 5 ]. Learning outcomes can either cause or result in students and instructors behavior. Students’ reading issues are due to the success of online courses [ 16 ].

There is a significant relationship between students’ experience and students’ instructor interaction .

The words “student experience” relate to classroom participation. They establish a connection between students and their school, teachers, classmates, curriculum, and teaching methods [ 17 ]. The three types of student engagement are behavioral, emotional, and cognitive. Behavioral engagement refers to a student’s enthusiasm for academic and extracurricular activities. On the other hand, emotional participation is linked to how children react to their peers, teachers, and school. Motivational engagement refers to a learner’s desire to learn new abilities [ 18 ].

There is a significant relationship between students’ behavior and students’ understanding .

Individualized learning connections, outstanding training, and learning culture are all priorities at the Institute [ 19 , 20 ]. The modular technique of online learning offers additional flexibility. The use of modules allows students to investigate alternatives to the professor’s session [ 21 ].

There is a significant relationship between students’ experience and students’ performance .

Student conduct is also vital in academic accomplishment since it may affect a student’s capacity to study as well as the learning environment for other students. Students are self-assured because they understand what is expected [ 22 ]. They are more aware of their actions and take greater responsibility for their learning.

There is a significant relationship between students’ instructor interaction and students’ understanding .

Modular learning benefits students by enabling them to absorb and study material independently and on different courses. Students are more likely to give favorable reviews to courses and instructors if they believe their professors communicated effectively and facilitated or supported their learning [ 23 ].

There is a significant relationship between students’ instructor interaction and students’ performance.

Students are more engaged and active in their studies when they feel in command and protected in the classroom. Teachers play an essential role in influencing student academic motivation, school commitment, and disengagement. In studies on K-12 education, teacher-student relationships have been identified [ 24 ]. Positive teacher-student connections improve both teacher attitudes and academic performance.

There is a significant relationship between students’ understanding and students’ satisfaction .

Instructors must create well-structured courses, regularly present in their classes, and encourage student participation. When learning objectives are completed, students better understand the course’s success and learning expectations. “Constructing meaning from verbal, written, and graphic signals by interpreting, exemplifying, classifying, summarizing, inferring, comparing, and explaining” is how understanding is characterized [ 25 ].

There is a significant relationship between students’ performance and student’s academic achievement .

Academic emotions are linked to students’ performance, academic success, personality, and classroom background [ 26 ]. Understanding the elements that may influence student performance has long been a goal for educational institutions, students, and teachers.

There is a significant relationship between students’ understanding and students’ academic achievement .

Modular education views each student as an individual with distinct abilities and interests. To provide an excellent education, a teacher must adapt and individualize the educational curriculum for each student. Individual learning may aid in developing a variety of exceptional and self-reliant attributes [ 27 ]. Academic achievement is the current level of learning in the Philippines [ 28 ].

There is a significant relationship between students’ performance and students’ satisfaction .

Academic success is defined as a student’s intellectual development, including formative and summative assessment data, coursework, teacher observations, student interaction, and time on a task [ 29 ]. Students were happier with course technology, the promptness with which content was shared with the teacher, and their overall wellbeing [ 30 ].

There is a significant relationship between students’ academic achievement and students’ perceived effectiveness .

Student satisfaction is a short-term mindset based on assessing students’ educational experiences [ 29 ]. The link between student satisfaction and academic achievement is crucial in today’s higher education: we discovered that student satisfaction with course technical components was linked to a higher relative performance level [ 31 ].

There is a significant relationship between students’ satisfaction and students’ perceived effectiveness.

There is a strong link between student satisfaction and their overall perception of learning. A satisfied student is a direct effect of a positive learning experience. Perceived learning results had a favorable impact on student satisfaction in the classroom [ 32 ].

2. Materials and Methods

2.1. participants.

The principal area under study was San Jose, Occidental Mindoro, although other locations were also accepted. The survey took place between February and March 2022, with the target population of K-12 students in Junior and Senior High Schools from grades 7 to 12, aged 12 to 20, who are now implementing the Modular Approach in their studies during the COVID-19 pandemic. A 45-item questionnaire was created and circulated online to collect the information. A total of 300 online surveys was sent out and 252 online forms were received, a total of 84% response rate [ 33 ]. According to several experts, the sample size for Structural Equation Modeling (SEM) should be between 200 and 500 [ 34 ].

2.2. Questionnaire

The theoretical framework developed a self-administered test. The researcher created the questionnaire to examine and discover the probable cognitive capacity influencing K-12 students’ academic achievement in different parts of Occidental Mindoro during this pandemic as well as their satisfaction with modular distance learning. The questionnaire was designed through Google drive as people’s interactions are limited due to the effect of the COVID-19 pandemic. The questionnaire’s link was sent via email, Facebook, and other popular social media platforms.

The respondents had to complete two sections of the questionnaire. The first is their demographic information, including their age, gender, and grade level. The second is about their perceptions of modular learning. The questionnaire is divided into 12 variables: (1) Student’s Background, (2) Student’s Experience, (3) Student’s Behavior, (4) Student’s Instructor Interaction, (5) Student’s Performance, (6) Student’s Understanding, (7) Student’s Satisfaction, (8) Student’s Academic Achievement, and (9) Student’s Perceived Effectiveness. A 5-point Likert scale was used to assess all latent components contained in the SEM shown in Table 1 .

The construct and measurement items.

2.3. Structural Equation Modeling (SEM)

All the variables have been adapted from a variety of research in the literature. The observable factors were scored on a Likert scale of 1–5, with one indicating “strongly disagree” and five indicating “strongly agree”, and the data were analyzed using AMOS software. Theoretical model data were confirmed by Structural Equation Modeling (SEM). SEM is more suitable for testing the hypothesis than other methods [ 53 ]. There are many fit indices in the literature, of which the most commonly used are: CMIN/DF, Comparative Fit Index (CFI), AGFI, GFI, and Root Mean Square Error (RMSEA). Table 2 demonstrates the Good Fit Values and Acceptable Fit Values of the fit indices, respectively. AGFI and GFI are based on residuals; when sample size increases, the value of the AGFI also increase. It takes a value between 0 and 1. The fit is good if the value is more significant than 0.80. GFI is a model index that spans from 0 to 1, with values above 0.80 deemed acceptable. An RMSEA of 0.08 or less suggests a good fit [ 54 ], and a value of 0.05 to 0.08 indicates an adequate fit [ 55 ].

Acceptable Fit Values.

3. Results and Discussion

Figure 2 demonstrates the initial SEM for the cognitive factors of Modular Distance learning towards academic achievements and satisfaction of K-12 students during the COVID-19 pandemic. According to the figure below, three hypotheses were not significant: Students’ Behavior to Students’ Instructor Interaction (Hypothesis 3), Students’ Understanding of Students’ Academic Achievement (Hypothesis 11), and Students’ Performance to Students’ Satisfaction (Hypothesis 12). Therefore, a revised SEM was derived by removing this hypothesis in Figure 3 . We modified some indices to enhance the model fit based on previous studies using the SEM approach [ 47 ]. Figure 3 demonstrates the final SEM for evaluating cognitive factors affecting academic achievements and satisfaction and the perceived effectiveness of K-12 students’ response to Modular Learning during COVID-19, shown in Table 3 . Moreover, Table 4 demonstrates the descriptive statistical results of each indicator.

Initial SEM with indicators for evaluating the cognitive factors of modular distance learning towards academic achievements and satisfaction of K-12 students during COVID-19 pandemic.

Revised SEM with indicators for evaluating the cognitive factors of modular distance learning towards academic achievements and satisfaction of K-12 students during the COVID-19 pandemic.

Summary of the Results.

Descriptive statistic results.

The current study was improved by Moore’s transactional distance theory (TDT) and Bloom’s taxonomy theory (BTT) to evaluate cognitive factors affecting academic achievements and satisfaction and the perceived effectiveness of K-12 students’ response toward modular learning during COVID-19. SEM was utilized to analyze the correlation between Student Background (SB), Student Experience (SE), Student Behavior (SBE), Student Instructor Interaction (SI), Student Performance (SP), Student Understanding (SAU), Student Satisfaction (SS), Student’s Academic achievement (SAA), and Student’s Perceived effectiveness (SPE). A total of 252 data samples were acquired through an online questionnaire.

According to the findings of the SEM, the students’ background in modular learning had a favorable and significant direct effect on SE (β: 0.848, p = 0.009). K-12 students should have a background and knowledge in modular systems to better experience this new education platform. Putting the students through such an experience would support them in overcoming all difficulties that arise due to the limitations of the modular platforms. Furthermore, SEM revealed that SE had a significant adverse impact on SI (β: 0.843, p = 0.009). The study shows that students who had previous experience with modular education had more positive perceptions of modular platforms. Additionally, students’ experience with modular distance learning offers various benefits to them and their instructors to enhance students’ learning experiences, particularly for isolated learners.

Regarding the Students’ Interaction—Instructor, it positively impacts SAU (β: 0.873, p = 0.007). Communication helps students experience positive emotions such as comfort, satisfaction, and excitement, which aim to enhance their understanding and help them attain their educational goals [ 62 ]. The results revealed that SP substantially impacted SI (β: 0.765; p = 0.005). A student becomes more academically motivated and engaged by creating and maintaining strong teacher-student connections, which leads to successful academic performance.

Regarding the Students’ Understanding Response, the results revealed that SAA (β: 0.307; p = 0.052) and SS (β: 0.699; p = 0.008) had a substantial impact on SAU. Modular teaching is concerned with each student as an individual and with their specific capability and interest to assist each K-12 student in learning and provide quality education by allowing individuality to each learner. According to the Department of Education, academic achievement is the new level for student learning [ 63 ]. Meanwhile, SAA was significantly affected by the Students’ Performance Response (β: 0.754; p = 0.014). It implies that a positive performance can give positive results in student’s academic achievement, and that a negative performance can also give negative results [ 64 ]. Pekrun et al. (2010) discovered that students’ academic emotions are linked to their performance, academic achievement, personality, and classroom circumstances [ 26 ].

Results showed that students’ academic achievement significantly positively affects SPE (β: 0.237; p = 0.024). Prior knowledge has had an indirect effect on academic accomplishment. It influences the amount and type of current learning system where students must obtain a high degree of mastery [ 65 ]. According to the student’s opinion, modular distance learning is an alternative solution for providing adequate education for all learners and at all levels in the current scenario under the new education policy [ 66 ]. However, the SEM revealed that SS significantly affected SPE (β: 0.868; p = 0.009). Students’ perceptions of learning and satisfaction, when combined, can provide a better knowledge of learning achievement [ 44 ]. Students’ perceptions of learning outcomes are an excellent predictor of student satisfaction.

Since p -values and the indicators in Students’ Behavior are below 0.5, therefore two paths connecting SBE to students’ interaction—instructor (0.155) and students’ understanding (0.212) are not significant; thus, the latent variable Students’ Behavior has no effect on the latent variable Students’ Satisfaction and academic achievement as well as perceived effectiveness on modular distance learning of K12 students. This result is supported by Samsen-Bronsveld et al. (2022), who revealed that the environment has no direct influence on the student’s satisfaction, behavior engagement, and motivation to study [ 67 ]. On the other hand, the results also showed no significant relationship between Students’ Performance and Students’ Satisfaction (0.602) because the correlation p -values are greater than 0.5. Interestingly, this result opposed the other related studies. According to Bossman & Agyei (2022), satisfaction significantly affects performance or learning outcomes [ 68 ]. In addition, it was discovered that the main drivers of the students’ performance are the students’ satisfaction [ 64 , 69 ].

The result of the study implies that the students’ satisfaction serves as the mediator between the students’ performance and the student-instructor interaction in modular distance learning for K-12 students [ 70 ].

Table 5 The reliabilities of the scales used, i.e., Cronbach’s alphas, ranged from 0.568 to 0.745, which were in line with those found in other studies [ 71 ]. As presented in Table 6 , the IFI, TLI, and CFI values were greater than the suggested cutoff of 0.80, indicating that the specified model’s hypothesized construct accurately represented the observed data. In addition, the GFI and AGFI values were 0.828 and 0.801, respectively, indicating that the model was also good. The RMSEA value was 0.074, lower than the recommended value. Finally, the direct, indirect, and total effects are presented in Table 7 .

Construct Validity Model.

Direct effect, indirect effect, and total effect.

Table 6 shows that the five parameters, namely the Incremental Fit Index, Tucker Lewis Index, the Comparative Fit Index, Goodness of Fit Index, and Adjusted Goodness Fit Index, are all acceptable with parameter estimates greater than 0.8, whereas mean square error is excellent with parameter estimates less than 0.08.

4. Conclusions

The education system has been affected by the 2019 coronavirus disease; face-to-face classes are suspended to control and reduce the spread of the virus and infections [ 2 ]. The suspension of face-to-face classes results in the application of modular distance learning for K-12 students according to continuity of learning during the COVID-19 pandemic. With the outbreak of COVID-19, some issues concerning students’ academic Performance and factors associated with students’ psychological status are starting to emerge, which impacted the students’ ability to learn. This study aimed to perceive the impact of Modular Distance learning on the K-12 students amid the COVID-19 pandemic and assess cognitive factors affecting students’ academic achievement and satisfaction.

This study applied Transactional Distance Theory (TDT) and Bloom Taxonomy Theory (BTT) to evaluate cognitive factors affecting students’ academic achievements and satisfaction and evaluate the perceived effectiveness of K-12 students in response to modular learning. This study applied Structural Equation Modeling (SEM) to test hypotheses. The application of SEM analyzed the correlation among students’ background, experience, behavior, instructor interaction, performance, understanding, satisfaction, academic achievement, and student perceived effectiveness.

A total of 252 data samples were gathered through an online questionnaire. Based on findings, this study concludes that students’ background in modular distance learning affects their behavior and experience. Students’ experiences had significant effects on the performance and understanding of students in modular distance learning. Student instructor interaction had a substantial impact on performance and learning; it explains how vital interaction with the instructor is. The student interacting with the instructor shows that the student may receive feedback and guidance from the instructor. Understanding has a significant influence on students’ satisfaction and academic achievement. Student performance has a substantial impact on students’ academic achievement and satisfaction. Perceived effectiveness was significantly influenced by students’ academic achievement and student satisfaction. However, students’ behavior had no considerable effect on students’ instructor interaction, and students’ understanding while student performance equally had no significant impact on student satisfaction. From this study, students are likely to manifest good performance, behavior, and cognition when they have prior knowledge with regard to modular distance learning. This study will help the government, teachers, and students take the necessary steps to improve and enhance modular distance learning that will benefit students for effective learning.

The modular learning system has been in place since its inception. One of its founding metaphoric pillars is student satisfaction with modular learning. The organization demonstrated its dedication to the student’s voice as a component of understanding effective teaching and learning. Student satisfaction research has been transformed by modular learning. It has caused the education research community to rethink long-held assumptions that learning occurs primarily within a metaphorical container known as a “course.” When reviewing studies on student satisfaction from a factor analytic perspective, one thing becomes clear: this is a complex system with little consensus. Even the most recent factor analytical studies have done little to address the lack of understanding of the dimensions underlying satisfaction with modular learning. Items about student satisfaction with modular distance learning correspond to forming a psychological contract in factor analytic studies. The survey responses are reconfigured into a smaller number of latent (non-observable) dimensions that the students never really articulate but are fully expected to satisfy. Of course, instructors have contracts with their students. Studies such as this one identify the student’s psychological contact after the fact, rather than before the class. The most important aspect is the rapid adoption of this teaching and learning mode in Senior High School. Another balancing factor is the growing sense of student agency in the educational process. Students can express their opinions about their educational experiences in formats ranging from end-of-course evaluation protocols to various social networks, making their voices more critical.

Furthermore, they all agreed with latent trait theory, which holds that the critical dimensions that students differentiate when expressing their opinions about modular learning are formed by the combination of the original items that cannot be directly observed—which underpins student satisfaction. As stated in the literature, the relationship between student satisfaction and the characteristic of a psychological contract is illustrated. Each element is translated into how it might be expressed in the student’s voice, and then a contract feature and an assessment strategy are added. The most significant contributor to the factor pattern, engaged learning, indicates that students expect instructors to play a facilitative role in their teaching. This dimension corresponds to the relational contract, in which the learning environment is stable and well organized, with a clear path to success.

5. Limitations and Future Work

This study was focused on the cognitive capacity of modular distance learning towards academic achievements and satisfaction of K-12 students during the COVID-19 pandemic. The sample size in this study was small, at only 252. If this study is repeated with a larger sample size, it will improve the results. The study’s restriction was to the province of Occidental Mindoro; Structural Equation Modeling (SEM) was used to measure all the variables. Thus, this will give an adequate solution to the problem in the study.

The current study underlines that combining TDT and BTT can positively impact the research outcome. The contribution the current study might make to the field of modular distance learning has been discussed and explained. Based on this research model, the nine (9) factors could broadly clarify the students’ adoption of new learning environment platform features. Thus, the current research suggests that more investigation be carried out to examine relationships among the complexity of modular distance learning.

Funding Statement

This research received no external funding.

Author Contributions

Data collection, methodology, writing and editing, K.A.M.; data collection, writing—review and editing, Y.-T.J. and C.S.S. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Informed consent statement.

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Conflicts of interest.

The authors declare no conflict of interest.

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Mona Allea Matolo

Discipline: Education

Learning remotely during the COVID-19 pandemic is challenging. As educational institutions have been closed to cope with the pandemic, modular distance learning was adopted and implemented as an alternative mode of learning which led students to experience learning challenges and opportunities. This study aimed to determine the learning challenges faced by students and the learning opportunities gained by them on modular distance learning during the pandemic. This phenomenological- qualitative research design was conducted on the College of Education students at Mindanao State University – Tawi-Tawi College of Technology and Oceanography, Bongao, Tawi-Tawi, Philippines. The respondents were selected using a purposive sampling technique based on the judgment of the researcher who is best qualified to achieve the objectives of the study. An Interview Guide was utilized to gather information about their views on their learning experiences during the pandemic Recorded conversation was preserved, and the transcript was utilized to treat the data through thematic analysis. Based on the findings of the study, students commonly experienced learning challenges such as poor/unstable internet connection; understanding the lesson/content comprehensively; time management, financial constraints; students’ well-being; and insufficient learning resources. Meanwhile, the common learning opportunities gained them were an opportunity to become a responsible and independent learner; to become digitally literate; to learn from home; to enhance writing, reading comprehension, and critical thinking skills; and to value time. Consequently, these students of MSU-TCTO experienced several learning challenges and opportunities with modular distance learning during the pandemic. These learning challenges have stilted their time, health, money, and overall learning. On the other hand, the learning opportunities have contributed positively to enhancing their skills and potential in different facets of learning. However, though these students have coped with the challenges of modular distance learning during the pandemic, teachers should not forget their vital role in developing more creative initiatives to deliver quality education to students similar to face-to-face learning. As such, they should develop a self-learning module that is appropriate to the context of the learners. Learning activities should be lessened and time should be flexible for students to elude all the challenges they experienced. In like manner, students should also take part in achieving authentic and meaningful learning whether in school or at home.

References:

• Abdulhamit et al. (2020). Challenges of Higher Education Institutions Against COVID-19: The Case of Turkey. On the Journal of Pedagogical Research Volume 4, Issue 4, 2020. Retrieved in August 2022, http://dx.doi.org/10.33902/JPR.2020063574
• Atmojo, A. E. P., & Nugroho, A. (2020). EFL Classes Must Go Online! Teaching Activities and Challenges during the COVID-19 Pandemic in Indonesia. Register Journal, 13(1), 49–76. Retrieved in August 2022, https://doi.org/10.18326/rgt.v13i1.49-76
• Chua, E.R., Sibbaluca, B.G., Mack, M.R., & Militante, S.V. (2020). “Technological Strategies in Teaching: The Design of Virtual Learning Environment.” Emilio Aguinaldo College – Cavite. Retrieved in August 2022, www.jcreview.com>fulltext
• Dangle, Y. & Sumaoang, J. (2020). The Implementation of Modular Distance Learning in the Philippine Secondary Public Schools. On the Journal page 102106. Retrieved in July 2022, http://www.icate.org
• De Guzman, M.J. and Pastor, C.K. (2020). “Business Administration Students’ Skills and Capability on Synchronous and Asynchronous Alternative Delivery of Learning.” Asian Journal of Multidisciplinary Studies 3 (1). Retrieved in July 2022, asianjournal.org>online>index>.php>ajms>article>view
• DepEd (2020). “DepEd Prepares Self-Learning Modules for Education’s New Normal.” Retrieved in July 2022, https://www.deped.gov.ph/2020/07/02/deped-prepares-self-learningmodules-for-educations-new-normal/
• DepEd (2022), Planning Service Education Management Information System Division. Retrieved in August 2022, [email protected], F., et. al (2020). Online Learning and Emergency Remote Teaching: Opportunities and Challenges in E m e r g e n c y S i t u a t i o n s . R e t r i e v e d in J u l y 2 022 , http://creativecommons.org/licenses/by /4 .0/
• Gueta, M. F., Janer, S. S. (2021). “Distance Learning Challenges on the Use of Self-Learning Modules.” Retrieved in August 2022, https://uijrt.com/paper/distance-learning-challenges-use-self-learning-module
• Lindog, E. (2020) Modular Distance Learning Amidst of Covid-19 Pandemic: Challenges and Opportunity. On the journal, E – ISSN 2651 – 771X | P ISSN 2651 – 771X I. Retrieved in August 2022, https://www.ioer-imrj.com/
• Mpungose, C. (2020). Emergent Transition from Face-to-Face to Online Learning in a South African University in the Context of the Coronavirus Pandemic. Humanities and Social Sciences Communications volume 7, Article number: 113. Retrieved in July 2022, http://www.nature.com
• Petrie, C. (2020). Spotlight: Quality Education for All during C O V I D - 1 9 C r i s i s . R e t r i e v e d i n J u l y 2022, https://hundred.org/en/collections/qualityeducation%C2%A0%C2%A0%20for-all-during-coronavirus .
• Regoniel, P. (2021). Modular Learning: 8 Tips for Effective Online T e a c h i n g . R e t r i e v e d i n A u g u s t 2 0 2 2 , https://www.simplyeducate.me/
• Sintema, E. J. (2020, April 7). Effect of COVID-19 on the Performance of Grade 12 Students: Implications for STEM Education. EURASIA Journal of Mathematics, Science and Technology. Retrieved in July 2022, https://doi.org/10.29333/ejmste/7893
• Son, Changwon et al (2020). “Effects of COVID-19 on College Students’ Mental Health in the United States: Interview Survey Study.” Journal of medical internet research 22 (9), e21279. Retrieved in August 2022, www.jmir.org>2020 .
• Yes, A., (2022). Modular Distance Learning in the Philippines – DepEd’s Alternative Learning Method. Retrieved in August 2022, https://www.itacloban.com/

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Modular Distance Learning: Its Effect in the Academic Performance of Learners in the New Normal

JETL (Journal of Education, Teaching and Learning)

Due to Covid-19 pandemic, schools, particularly in the rural areas employed Modular Distance Learning (MDL) to ensure education continuity. This study seeks to investigate the effects of MDL in the academic performance of learners whether there is a significant difference in their performance before and after the implementation of MDL. Mixed method was applied in this study; Quantitative using T-Test to compare the GWA of learners and Qualitative through the use of semi-structured interview to find out the perceived effect of MDL to 15 parents, 10 learners, and 7 teachers and their recommendations. The study revealed that the 2.25% decrease in the GWA of learners after the implementation of MDL denotes a significant difference in their academic performance. MDL strengthens family bonding, independent learning, and is cost-effective. However, it is an additional workload to working parents, there is limited teacher-learner interaction, learners lack socialization with other children ...

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Psychology and Education: A Multidisciplinary Journal

Psychology and Education , ROMEL LAGRIO

The education sector was greatly affected by the global health crisis of COVID-19, resulting in massive changes in our education setup , which contributed to various problems and challenges encountered during the implementation of the modular distance learning modality. This study aimed to determine the strategies and challenges encountered by teachers in implementing modular distance learning and its impact on students' academic performance. A descriptive research design was employed. The researchers utilized an online survey method for data gathering. A total of 60 teachers and 187 selected Grade 7 learners were the study's respondents utilizing total enumeration for teachers and stratified random sampling for learners.The study's findings show that teachers could employ strategies such as setting a submission schedule and creating a group chat with the learners. Moreover, establish the appropriate health and safety protocols and safety nets for learners against violence and abuse at home and in the community, and train school personnel for the Learning Delivery Modality (LMD).On the other hand, teachers professed that printing modules were time-consuming, the distance of the learner's home from the school hindered the teachers in providing technical assistance, and learners needed help following instructions. Parents answered the modules of the learners. The need for printing materials was a significant challenge.Most of the student's grades during the first quarter were within the range of 80-84, which was considered a satisfactory academic performance. Moreover, the results signified a negligible negative correlation between teachers' strategies in implementing modular distance learning and students' academic performance. The study suggests revisiting the school's plans for implementing modular distance learning and strengthening the partnership of the school, parents, and stakeholders.

IJMRAP Editor

During this pandemic, several schools opted for modular remote education. One of the elementary schools that selected Modular Distance Learning (MDL) as their primary mode of instruction for various reasons is Antipuluan Elementary School, a public elementary school in the Municipality of Narra, Palawan, the Philippines. However, the usage of this modality, which is unknown to many, has presented difficulties for everyone-including school staff, students, and their parents. Hence the conduct of this study. This quantitative research employed a Descriptive-Correlational Approach and involved 15 elementary teachers, 141 pupils, and 141 parents as the main data sources. A researcher-made questionnaire was used to collect data, which was then analyzed using mean, standard deviation, and Pearson product-moment correlation. The study found that the extent of Modular Distance Learning modality implementation was High, teachers', pupils', and parents' degrees of acceptance of the MDL implementation were High, and there was a strong relationship between the teachers' degree of acceptance of MDL implementation and the degree of its implementation. The perceived effects of MDL implementation have a direct relationship with the degree of their acceptance by teachers and parents.

Psychology and Education

This study investigated the limitations experienced by students, parents, and teachers in the implementation of Modular Distance Learning in Lagundi-CCL National High School during the school year 2021-2022. The researcher utilized the combination of quantitative and qualitative methods of research. An online research questionnaire utilizing Google Form was used to gather necessary information from the eighty (80) students, eighty (80) parents, and thirty-one (31) teachers who served as the respondents of this paper. Based on the results, the three major limitations experienced by students were: 1) insufficient knowledge of parents/ family members; 2) unavailability of gadgets; and 3) too many activities. In addition, parents' three major limitations were: 1) insufficient knowledge about the lessons; 2) difficulties in schedule of distribution and retrieval of modules; and 3) working parents. Furthermore, the identified limitations of teachers were: 1) too many additional tasks for teachers; 2) unavailability of self-learning modules; and 3) students who were lagging behind. From these limitations the respondents had given their suggestions. The students suggested that: 1) lessen the activities that are given to them; 2) conduct an online class even once a week; and 3) give additional time to answer the learning tasks. Meanwhile, parents' suggestions were: 1) enough information and examples in the modules should be given; 2) lessen the learning tasks; and 3) guide the parents on how to assist their children. Lastly, teachers' suggestions include: 1) proper dissemination of program, projects, and activities related to modular distance learning; 2) capacitate parents and students on MDL; and 3) distribution and retrieval should be done every other two weeks. The researchers crafted a process framework which may serve as basis in the modification of the implementation of modular distance learning which included seven (7) strategic dimensions.

International Journal of Applied Research in Social Sciences

Gerald Malabarbas

Face-to-face classes were temporarily suspended and shifted to modular print learning modality due to the COVID-19 pandemic. The study aimed to determine if there significant difference and relationship between parents’ involvement in modular distance learning and the academic performance of the Grade 6 learners in a public elementary school. The results revealed that parents’ involvement in their child&#39;s MDL varies substantially according to their educational attainment and family monthly income. Similarly, the educational attainment of parents and their family&#39;s monthly income are predictors of their children&#39;s academic achievement. Furthermore, it was disclosed that fathers were more likely than mothers to be involved in the learners&#39; MDL. The findings also revealed that there was a correlation between parents&#39; involvement in modular learning and their children&#39;s academic performance. Furthermore, the study supports prior results that parental involvement ...

Indonesian Journal of Educational Research and Review

Leomarich Casinillo

Due to the COVID-19 pandemic, schools, particularly in rural areas, employed Modular Distance Learning (MDL) to ensure educational continuity. Modular distance learning is the current learning modality of primary education, where parents serve as parent-teachers to their children. This study seeks to evaluate the experiences of students and teachers of Elementary School, on modular distance learning during the pandemic. This study used the qualitative method of interviewing nine students and six teachers to learn about their MDL experiences. Data process involves combining related concepts and themes to produce a more structured and organized picture of the data. MDL strengthens family bonding, promotes independent learning, and economizes money and time. However, it is an additional workload for working parents; there needs to be more teacher-student interaction, preventing pupils from socializing and gadget distractions. The article revealed that MDL has positive and negative experiences for teachers and students. Therefore, the impact may vary depending on individual circumstances and adaptability. The study suggests that suitable strategies should address any challenges during implementation and evaluation. Furthermore, teachers must undergo training related to MDL to address existing problems in delivering their lessons.

AJHSSR Journal

The general purpose of this study was to find out the level of extent on the parental involvement in the implementation of modular distance learning approach in Botolan District, Division of Zambales, Philippines during school year 2020-2021. The study revealed that the parent-respondent is a typical female in her early adulthood, married, high school graduate with part-time work and meagre income whose children are at primary grade level. The academic performance of the parent-respondents' children was assessed-Very Satisfactory‖. Perceived-Highly Involved‖ on Parent as a Teacher and Acceptance of the Self-Learning Module while-Involved‖ on Submission of the Self-Learning Module. There is significant difference when grouped according to highest educational attainment towards Parent as a Teacher, Acceptance and Submission of the Self-learning module respectively; significant when grouped according to family income towards Parent as Teacher and Acceptance of the Self-Learning Module; while significant on number of children studying in the elementary level towards Parent as Teacher and Submission of the Self-Learning Module respectively. There is significant difference on the perception towards dimensions on the level ofextent on the parental involvement in the implementation of modular distance learning approach. There is negatively weak or little relationship between the level of academic performance and the level ofextent on the parental involvement in the implementation of modular distance learning approach. Based on the summary of the investigations conducted and the conclusions arrived at, the researcher recommended that the parents are encouraged to be given orientation to heighten awareness on their respective limited roles in the implementation of the self-learning modular approach; that parents are encouraged to help children developed with high levels of self-directed learning, to have strong for learning.\

COVID-19 Pandemics have an impact on many aspects of life, including education. The Department of Education developed the Basic Education Learning Continuity Plan in response to the outbreak. This plan outlines learning delivery techniques such as blended learning, which is a combination of face-to-face, modular distance learning, and TV/radio-based education based on the learners' context. As a result, the DepEd permits schools to select a learning mode depending on available resources and student requirements. Thus, this study investigates the primary teachers' readiness, parental support towards modular distance learning, and its effects to the learners' performance. Based on the findings drawn from the study, the following conclusion drawn: The levels of Teachers readiness were very much ready. While in the level of parental support were much supportive. Lastly, the learner's performance was satisfactory. Moreover, it is concluded that teacher's readiness and leaners performance had no bearing with the way learners performed in class while the parental challenges and learners performance were associated with the way learners performed in class.

Psychology and Education , Maritis Magallanes Cagas , Myra A. Ambalong

Parents' engagement played an important role in parent-teacher partnership in educating the children to have a harmonious collaboration in motivating the children's learning. Due to this pandemic, parents were appreciated as facilitators in the learning process of the learners since children were not allowed to go to school for face-to-face interaction with the teacher. Modular Distance learning modalities were implemented most of the schools especially Dalamas Integrated School wherein internet connection was not available in the said area. This study aimed to assess the parents' engagement in modular distance learning and the learners' academic performance in the school year 2021-2022. The study utilized the descriptive-correlational research design. Findings revealed that the respondents' engagement in modular distance learning helped them realize that education was very important to their children and that they encouraged their children to do their homework. However, the data revealed that engagement of parents in modular distance learning did not necessarily affect the academic performance of the learners and that their engagement was not differentiated based on their socio-demographic profile.

IJSES Editor

Prior to pandemic, modular distance learning (MDL) served as an established instructional strategy; however, its utilization significantly surged when pandemic began. This surge continued as MDL remained in use to ensure a seamless learning experience for students even after the resumption of face-to-face classes. This ongoing investigation into the topic through dynamic research studies has yielded changing results over time, underscoring the need for a thorough understanding. Consequently, the researchers aimed to correlate students' perceived advantages and disadvantages of MDL with their academic performance. Employing a descriptive-correlational research design, the study included 43 ICT students enrolled in MDL during the 2021-2022 academic year. An established questionnaire served as the primary data collection tool. Subsequently, collected data underwent statistical analysis, including weighted mean and Spearman's rho. The findings of this study yielded the same result concerning this subject which indicates there was no relationship between the students' perceived perceptions about MDL and their academic performance. This suggests that students' perceived perceptions do not correlate directly with their academic performance, emphasizing the importance of considering additional variables and factors when analyzing this relationship. The results have been shared in several research studies. It also highlights the necessity of enhancing the implementation of MDL, considering its continued relevance in public schools as the primary alternative mode of learning when in-person classes are suspended.

Psychology and Education , Ehlz Marie N. Sacnanas , Shanice Marie B. Ferolino

As educational system was hit by a global catastrophe, the introduction of modular distance learning outspread to sustain the quality of education towards the learners. To make this work, parents forced to embrace the new system of learning. With this, the parents were having a hard time on scheduling between their work and children's learning, and on facilitating the learning from home scheme. This study dug into the parents' involvement and attitude towards the modular distance learning system. The data were evaluated by interpretation and the method used in gathering data is qualitative. Content analysis allows researchers identify and analyze the correct words, topics, or concepts. The researchers conducted interviews to six parents from Badian, Cebu. The parents' involvement in this study were determined by purposive sampling technique. From the responses of the parents, the researchers developed three essential themes: (1) The Challenges, (2) The Time, (3) The Rating, (4) The Improvement, and (5) The Advantages and Disadvantages. These themes emphasized the lived experiences and battles of the parents in the distance learning system during the pandemic. The researchers were able to extract problems and meaning of consequences for parents' lived experience of MDL. Parents' talent in shaping their children's learning is not an easy job, rather it was found to be difficult. But additional colors were added to help shape it and made the children's future more worthwhile.

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Classroom Q&A

With larry ferlazzo.

In this EdWeek blog, an experiment in knowledge-gathering, Ferlazzo will address readers’ questions on classroom management, ELL instruction, lesson planning, and other issues facing teachers. Send your questions to [email protected]. Read more from this blog.

Distance Learning ‘Has Been OK, I Guess': Students Share About This Year’s Experiences

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(This is the first post in a multipart series.)

The question-of-the-week:

What has your online learning experience been as a student this fall? What is working for you and why? What is not working for you and why?

Student voice is important, and some of the most popular columns appearing here feature them. You can see them all at Student Voices , including commentaries from students around the country talking about remote teaching and learning last spring.

This new series will highlight contributions from students in my classes.

Today, Cathy Liu, Julia Yang, Eliseo Angulo Lopez, and Masihullah Shafiq share their thoughts.

It’s “been okay, I guess”

Cathy Liu is a junior at Luther Burbank High School in Sacramento, Calif.:

My learning experience as a student this fall has been OK, I guess. The schedule of the class has been OK, and the work is fine, well that is because I have no life. Unlike other people, I have no job or a big responsibility in the house. I don’t have to take care of my brother since he is old enough to take care of himself but he still does stupid things from time to time. I don’t have chores that take me so long that I can’t do my work. Even if the school decides to change the schedule completely, it will still work for me because of how open my schedule is.

There are some difficulties with online learning. I’m more lazy than the times when we were all in school. I postpone my assignments until the last minute, and that makes me feel overwhelmed and stressed because I don’t have much time to finish my work, and the assignments take a long time to finish. I have been trying to fix the bad habits, trying to finish my work way before the deadline. Another thing that is hard about online learning is that it’s harder to bond with other people. It’s harder to get to know other people. Sometimes in the breakout room, no one talks at all, everyone is quiet, and it is so awkward because you waited and thought that someone was going to talk, but no one did. Then you are stuck in the position of should you say hello or is it too late to do that. You just don’t know what to do. Other than those random things that bother me, my learning experience has been OK so far.

“I can get distracted”

Julia Yang is a junior at Luther Burbank High School:

This year of 2020, it has been very crazy. It is unfortunate that the pandemic happened, and we all are stuck at home. Many schools closed down due to the coronavirus. During this time of the year, I feel like it is a time for all people to learn how to appreciate important things. It is a new perspective for all of us, and with this new perspective of the world, we can learn and be more considerate of others.

When distance learning first started, it was frustrating that we had to end the school year with online classes. It was a whole new experience doing online classwork. I remembered I woke up early every morning thinking that I had to get ready for school, later on realizing that schools are closed. While working on my assignments, I realized that it was weird to not hear any of my classmates talking or other students yelling or laughing in the hallway. It was strange to learn at home without teachers. Since this was a new learning experience, I had troubles with technology a few times, which made me stressed out a lot. This made me very scared, and I started to doubt myself whether I’ll do well with distance learning.

The few months of online school went by, and summer came. I begin to think we’d able to go back to school again. I held onto my hopes, hoping that the virus would go away soon and that things would go back to normal. Sadly, it didn’t happen. This disappoints me to know that I won’t be able to go through the school year of high school normally. And I’m pretty sure that it’s not just me who feels like this.

Now, it’s fall season, and we’re back to online learning. Beginning this school year with distance learning as a junior, I’d found what is working for me and not working. Some of the pros for online learning are slideshows posted by teachers. These slideshows help remind me of what I learned and did in class. For example, if I forgot something or want to clarify my understanding, I go back to the slideshows and I can get my answers there. Another thing that is also helping is that I don’t have to get up too early. With that, I can get more time to get prepared for my classes. An hour break of lunch is also helpful because I can then focus on my asynchronous work.

Some of the problems I have with distance learning is that sometimes I can get distracted. The reason why I sometimes get distracted is because I’m at home. And being home can urge me to procrastinate. Whereas at school, there are students who are working and teachers. That helps me focus more. Another thing I found difficult is communication. I feel like sometimes communicating with other students is hard because we don’t see each other.

I am hoping that things will go back to normal next year.

Eliseo Angulo Lopez is a junior at Luther Burbank High School:

Although distance learning is new for many of us, it will not stop me from reaching my goals. Through these past two months, students like me have found the new schedule helpful and less confusing. In addition, writing on a computer is way more simple than writing on a piece of paper, and having the internet available and the possibility of investigating any information that you need in order to completely understand a lecture is by far something that we should never miss out on.

The only negative thing that I’ve found is that spending these many hours in front of a monitor or screen can be really damaging, causing eye strain and headaches from which I’ve personally already experienced. In order to prevent this from happening, I suggest having one Monday off every 2-3 weeks, one day off to add to your weekend in which you can spend more time with your family and less time looking at a screen, which is what we do all week. This change can be really helpful to avoid stress and maintain a more positive mindset.

“Distance learning has been really good”

Masihullah Shafiq is a junior at Luther Burbank High School:

For some people, distance learning can be stressful and boring, but overall my experience with distance learning has been really good. Just like before when we went to school, I haven’t missed any classes or assignments. I also have good grades.

The positive thing about distance learning is that we don’t have to go class and I get enough rest, even though sometimes we have so much work to do sitting in front of the screen all day makes your eyes and your brain really tired, and it’s also unhealthy.

I sometimes struggle with getting my assignments done because I won’t have enough time, or in some cases, there are lots of assignments to do, and I can’t get all of them done on time. For now, I’m not really struggling with any of my classes, but it is sometimes really difficult to manage your time with distance learning.

The downside to it is sitting in front of a screen all day and sometimes technical issues; sometimes the teachers struggle with getting all the students into Zoom because the Zoom keeps dropping them, and in some cases, the internet does not work, and students can’t get into Zoom, which leaves them behind from others, and they will have to catch up later.

In general, distance learning is not so different from going to school, and in my opinion, it’s better with distance learning since it makes things much easier if we don’t have technical issues, which we often don’t. I don’t know if it’s just me or not, but I learn better with distance learning than going to school, so I prefer distance learning. I also have to say my teachers are doing really well, and so far, I have not had any problems or difficulties asking questions or learning.

Thanks to Cathy, Julia, Eliseo, and Masihullah for their contributions!

Please feel free to leave a comment with your reactions to the topic or directly to anything that has been said in this post.

Consider contributing a question to be answered in a future post. You can send one to me at [email protected] . When you send it in, let me know if I can use your real name if it’s selected or if you’d prefer remaining anonymous and have a pseudonym in mind.

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• DOI: 10.5861/ijrse.2021.602
• Corpus ID: 237796223

Modular distance learning modality: Challenges of teachers in teaching amid the Covid-19 pandemic

• Felicisimo Castroverde , Michell Acala
• Published in International Journal of… 25 June 2021

Figures and Tables from this paper

64 Citations

Experiences of teachers on using modular distance learning (mdl) in teaching mathematics during the covid-19 pandemic, challenges and mechanisms of teachers in the implementation of modular distance learning in the philippines: a phenomenological study, exploring the experiences of teachers in delivering education amid the pandemic: a phenomenological study, challenges and coping strategies of novice teachers in modular distance learning modality, teachers’ challenges on self-directed modular distance learning (sml): basis for extension program development, problems encountered by beed teachers and students of apayao state college in using modular distance learning modality: basis for intervention.

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Distance Learning Delivery Modalities and Problems of the Technology and Livelihood Education Teachers

Lived experiences of special education teachers in the new normal, modular distance learning to limited face to face classes: teachers’ perspective, uncovering teacher's situation amidst the pandemic: teacher's coping mechanisms, initiatives, constraints, and challenges encountered, 7 references, teachers’ covid-19 awareness, distance learning education experiences and perceptions towards institutional readiness and challenges, modular-based approach and students’ achievement in literature, the implementation of modular distance learning in the philippine secondary public schools, strengthening online learning when schools are closed: the role of families and teachers in supporting students during the covid-19 crisis, related papers.

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Modular Distance Learning: Perceived Difficulties by the Students

• Category: Education
• Topic: Distance Education , Issues in Education , Online Courses

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• issues arising from a lack of direct contact between the student and the lecturer;
• issues arising from a sense of alienation and isolation from the student community;
• issues arising from anxiety and concerns about the educational process and learning outcomes.

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