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The Covid-19 global pandemic has brought massive disruption to education throughout the planet. This study sought to provide understandings of the relationships between e-learning activity and the independent variables of gender, maturity, study major, region of origin, and class level. Multiple regression and logistic regression were employed to understand the relationship between the dependent variable of e-learning activity with other variables considered in the study. Descriptive statistics showed that Freshmen were more active online than other class levels while Education majors demonstrated the highest online activity. Results of the multiple regression model indicated that Freshmen and Information Technology majors were statistically much more active online when compared with enrollees in other majors or with those who came from other class levels. The logistic model found that students who were not freshman or were not Information technology majors were significantly less likely to be active e-learning users.
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Alghamdi, A., Karpinski, A. C., Lepp, A., & Barkley, J. (2020). Online and face-to-face classroom multitasking and academic performance: Moderated mediation with self-efficacy for self-regulated learning and gender. Computers in Human Behavior, 102, 214–222. https://doi.org/10.1016/j.chb.2019.08.018
Alqurashi, E. (2019). Predicting student satisfaction and perceived learning within online learning environments. Distance Education, 40(1), 133–148. https://doi.org/10.1080/01587919.2018.1553562
Amparo, A. R., Smith, G. & Friedman, A. (2018). Gender and persistent grade performance differences between online and face to face undergraduate classes. In T. Bastiaens, J. Van Braak, M. Brown, L. Cantoni, M. Castro, R. Christensen, G. Davidson-Shivers, K. DePryck, M. Ebner, M. Fominykh, C. Fulford, S. Hatzipanagos, G. Knezek, K. Kreijns, G. Marks, E. Sointu, E. Korsgaard Sorensen, J. Viteli, J. Voogt, P. Weber, E. Weippl & O. Zawacki-Richter (Eds.), Proceedings of EdMedia: World Conference on Educational Media and Technology (pp. 1935–1939). Amsterdam, Netherlands: Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/primary/p/ 184430/
Anderson, G. (2020). Students say online classes aren't what they paid for. Inside Higher ED. https://www.insidehighered.com/news/2020/04/13/students-say-online-classes-arent-what-they-paid
Barczyk, C. C., Hixon, E., Buckenmeyer, J., & Ralston-Berg, P. (2017). The effect of age and employment on students' perceptions of online course quality. American Journal of Distance Education, 31(3), 173–184. https://doi.org/10.1080/08923647.2017.1316151
Brenneman, R. (2016, March 23). Gallup student poll finds engagement in school dropping by grade level. Education Week, 35(25), 6.
Broadbent, J. (2017). Comparing online and blended learner's self-regulated learning strategies and academic performance. The Internet and Higher Education, 33, 24–32. https://doi.org/10.1016/j.iheduc.2017.01.004
Browne, C. J. (2019). Assessing the engagement rates and satisfaction levels of various clinical health science student sub-groups using supplementary eLearning resources in an introductory anatomy and physiology unit. Health Education, 119(1), 2–17. https://doi.org/10.1108/HE-04-2018-0020
Cabinet approves plans to close schools, postpone Songkran. (2020, March 17). Bangkok Post. https://www.bangkokpost. com/thailand/ general/1880635/cabinet-approves-plans-to-close-schools-postpone-songkran
Chen, S. C., Yang, S. J. H., & Hsiao, C. C. (2016). Exploring student perceptions, learning outcome and gender differences in a flipped mathematics course. British Journal of Educational Technology, 47(6), 1096–1112. https://doi.org/10.1111/bjet.12278
Chootongchai, S., & Songkram, N. (2018). Design and development of SECI and Moodle online learning systems to enhance thinking and innovation skills for higher education learners. International Journal of Emerging Technologies in Learning (IJET), 13(03), 154–172.
Damm, C. (2016). Applying a community of inquiry instrument to measure student engagement in large online courses. Current Issues in Emerging ELearning, 3(1), 38.
Dumford, A. D., & Miller, A. L. (2018). Online learning in higher education: Exploring advantages and disadvantages for engagement. Journal of Computing in Higher Education, 30(3), 452–465. https://doi.org/10.1007/s12528-018-9179-z
Farhan, M., Aslam, M., Jabbar, S., & Khalid, S. (2018). Multimedia based qualitative assessment methodology in eLearning: Student teacher engagement analysis. Multimedia Tools and Applications, 77(4), 4909–4923. https://doi.org/10.1007/s11042-016-4212-6
Fies, A., & Hill, A. (2020). Coronavirus pandemic brings staggering losses to colleges and universities. ABC News. https://abcnews.go.com/Business/coronavirus-pandemic-brings-staggering-losses-colleges-universities/story?id= 70359686
Flor, A. G. (2018). Open, Distance and eLearning for ASEAN Integration. In U. Pandey & V. Indrakanti (Eds.), Open and Distance Learning Initiatives for Sustainable Development (pp. 1–33). IGI Global. https://doi.org/10.4018/978-1-5225-2621-6.ch001
Gachago, D., Morkel, J., Hitge, L., van Zyl, I., & Ivala, E. (2017). Developing eLearning champions: A design thinking approach. International Journal of Educational Technology in Higher Education, 14(1), 30. https://doi.org/10.1186/ s41239-017-0068-8
Glazier, R. A., Hamann, K., Pollock, P. H., & Wilson, B. M. (2020). Age, gender, and student success: Mixing face-to-face and online courses in Political Science. Journal of Political Science Education, 16(2), 142–157. https://doi.org/10.1080/ 15512169.2018.1515636
Gwamba, G., Renken, J., Nampijja, D., Mayende, G., & Muyinda, P. B. (2018). Contextualisation of eLearning systems in higher education institutions. In M. E. Auer & T. Tsiatsos (Eds.), Interactive Mobile Communication Technologies and Learning (pp. 44–55). Springer International Publishing. https://doi.org/10.1007/978-3-319-75175-7_6
Hall, R., & Batty, D. (2020, May 4). "I can't get motivated": The students struggling with online learning. The Guardian. https://www.theguardian.com/education/2020/may/04/i-cant-get-motivated-the-students-struggling-with-online-learning
Han, I., & Shin, W. S. (2016). The use of a mobile learning management system and academic achievement of online students. Computers & Education, 102, 79–89. https://doi.org/10.1016/j.compedu.2016.07.003
Harrison, R., Hutt, I., Thomas-Varcoe, C., Motteram, G., Else, K., Rawlings, B., & Gemmell, I. (2017). A cross-sectional study to describe academics' confidence, attitudes, and experience of online distance learning in higher education. Journal of Educators Online, 14(2). https://eric.ed.gov/?id=EJ1150576
Hobbs, T. D. (2020, March 19). At schools closed for Coronavirus, online work won't count. Wall Street Journal. https://www.wsj.com/articles/schools-closed-for-coronavirus-online-work-wont-count-11584643049
Jerath, K., Ma, L., & Park, Y.-H. (2014). Consumer click behavior at a search engine: The role of keyword popularity. Journal of Marketing Research, 51(4), 480–486. https://doi.org/10.1509/jmr.13.0099
Kew, S. N., Petsangsri, S., Ratanaolarn, T., & Tasir, Z. (2018). Examining the motivation level of students in e-learning in higher education institution in Thailand: A case study. Education and Information Technologies, 23(6), 2947–2967. https://doi.org/10.1007/s10639-018-9753-z
Kizhakkacharuvil, J., & Duangekanong, D. (2017). eLearning adoption and eLearning satisfaction of learners: A case study of management program in a university of Thailand (SSRN Scholarly Paper ID 3246771). Social Science Research Network. https://papers.ssrn.com/abstract=3246771
Leeds, B. (2014). Temporal experiences of e-learning by distance learners. Education + Training, 56(2/3), 179–189. https://doi.org/10.1108/ET-11-2012-0114
Li, L., & Lee, L. (2016). Computer literacy and online learning attitude toward GSOE students in distance education programs. Higher Education Studies, 6(3), 147–156.
Li, N., Marsh, V., Rienties, B., & Whitelock, D. (2017). Online learning experiences of new versus continuing learners: A large-scale replication study. Assessment & Evaluation in Higher Education, 42(4), 657–672. https://doi.org/10.1080/ 02602938.2016.1176989
Liu, I.-F., & Young, S. S.-C. (2017). An exploration of participative motivations in a community-based online English extensive reading contest with respect to gender difference. Interactive Learning Environments, 25(1), 48–61. https://doi.org/ 10.1080/10494820.2015.1090457
Ministry of Education. (2008). In Thailand: An introduction to education in Thailand. Ministry of Education. https://www.bic.moe.go.th/images/stories/book/ed-eng-series/intro-ed08.pdf
Ngampornchai, A., & Adams, J. (2016). Students' acceptance and readiness for E-learning in Northeastern Thailand. International Journal of Educational Technology in Higher Education, 13(1), 34. https://doi.org/10.1186/s41239-016-0034-x
Radha, R., Mahalakshmi, K., Kumar, D. V. S., & Saravanakumar, D. A. (2020). E-Learning during lockdown of Covid-19 pandemic: A global perspective. International Journal of Control and Automation, 13(4), 13.
Reid, H. J., Thomson, C., & McGlade, K. J. (2016). Content and discontent: A qualitative exploration of obstacles to elearning engagement in medical students. BMC Medical Education, 16(1), 188. https://doi.org/10.1186/s12909-016-0710-5
Roger, P., Berg, G., Boettcher, J., Howard, C., Justice, L., & Schenk, K. (2009). Encyclopedia of distance learning, second edition. Idea Group Inc (IGI).
Rohman, M., Marji, Sudjimat, D. A., Sugandi, R. M., & Nurhadi, D. (2020). Online learning in higher education during Covid-19 pandemic: Students' perceptions. Journal of Talent Development and Excellence, 12(2s), 3644–3651.
Sangrà, A., Vlachopoulos, D., & Cabrera, N. (2012). Building an inclusive definition of e-learning: An approach to the conceptual framework. The International Review of Research in Open and Distributed Learning, 13(2), 145–159. https://doi.org/10.19173/irrodl.v13i2.1161
Scott, K. M. (2016). Change in university teachers' elearning beliefs and practices: A longitudinal study. Studies in Higher Education, 41(3), 582–598. https://doi.org/10.1080/03075079.2014.942276
The, M. M., & Usagawa, T. (2018). A comparative study of students' readiness on e-learning education between Indonesia and Myanmar. American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS), 40(1), 113–124.
Thomas, D. (2018). Blended learning behavior of university students and academic performance in Thailand. Rangsit Journal of Educational Studies, 5(2), 12–24.
Thongsri, N., & Bao, Y. (2019). What motivates learners' intention to use Blackboard Mobile Learning (BML)?: Evidence from Thailand. 2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media), 314–319. https://doi.org/10.1109/Ubi-Media.2019.00069
Thongsri, N., Shen, L., & Bao, Y. (2019). Investigating factors affecting learner's perception toward online learning: Evidence from ClassStart application in Thailand. Behaviour & Information Technology, 38(12), 1243–1258. https://doi.org/ 10.1080/0144929X.2019.1581259
United Nations Educational, Scientific and Cultural Organization. (2020, March 4). Education: From disruption to recovery. UNESCO. https://en.unesco.org/covid19/educationresponse
Widyanti, A., Hasudungan, S., & Park, J. (2020). E-Learning readiness and perceived learning workload among students in an Indonesian university. Knowledge Management & E-Learning: An International Journal, 12(1), 18–29.
Wongwuttiwat, J., Buraphadeja, V., & Tantontrakul, T. (2020). A case study of blended e-learning in Thailand. Interactive Technology and Smart Education, 17(2), 197–214. https://doi.org/10.1108/ITSE-10-2019-0068