The Online Learning and Students’ Fear of COVID-19: Study in Malaysia and Pakistan

  • Farhat Munir School of Professional Advancement, University of Management and Technology
  • Aizza Anwar Universiti Sains Malaysia
  • Daisy Mui Hung Kee School of Management, Universiti Sains Malaysia https://orcid.org/0000-0002-7748-8230
Keywords: fear of COVID-19, social presence, cognitive problem-solving skills, psychological motivation, online learning, Pakistan, Malaysia

Abstract

The COVID-19 pandemic has forced millions of students to stay indoors and adapt to the new normal, namely distance learning at home, placing online learning in the spotlight. However, students’ motivation for online learning and its effectiveness in skill development during the COVID-19 pandemic has not been widely studied. This study examined the relationship between students’ fear of COVID-19 and students’ social presence in online learning while investigating the parallel mediating role of student psychological motivation and cognitive problem-solving skills related to online learning. The participants were 472 university students in Malaysia and Pakistan. An online data collection technique using Google Forms was employed. Faculty members of the universities were asked to share the survey with their students. Moreover, using a snowball sampling technique, students were requested to share the survey with their friends. SPSS Statistics (Version 21)  was employed to do preliminary data analysis, AMOS (Version 21) software was used to conduct confirmatory factor analysis using a maximum likelihood estimation, and Hayes’ PROCESS model was used to examine proposed hypotheses. The results show that only cognitive problem solving mediates the relationship between fear of COVID-19 and students’ social presence in online learning in Malaysian samples. In Pakistan, cognitive problem solving and psychological motivation mediate the relationship between fear of COVID-19 and students’ social presence in online learning. The study found that developing cognitive problem-solving skills and providing psychological motivation could enhance their engagement with online learning.

References

Adedoyin, O. B., & Soykan, E. (2020). Covid-19 pandemic and online learning: The challenges and opportunities. Interactive Learning Environments. https://doi.org/10.1080/10494820.2020.1813180

Ahorsu, D. K., Lin, C.-Y., Imani, V., Saffari, M., Griffiths, M. D., & Pakpour, A. H. (2020). The fear of COVID-19 scale: Development and initial validation. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-020-00270-8

Al-Maroof, R. S., Salloum, S. A., Hassanien, A. E., & Shaalan, K. (2020). Fear from COVID-19 and technology adoption: The impact of Google Meet during coronavirus pandemic. Interactive Learning Environments, 1–16. https://doi.org/10.1080/10494820.2020.1830121

Amin, I., & Mariani, S. (2017). PME learning model: The conceptual theoretical study Of metacognition learning In mathematics problem solving based on constructivism. International Electronic Journal of Mathematics Education, 12(3), 333–352. https://www.iejme.com/article/pme-learning-model-the-conceptual-theoretical-study-of-metacognition-learning-in-mathematics

Baber, H. (2021). Social interaction and effectiveness of the online learning – A moderating role of maintaining social distance during the pandemic COVID-19. Asian Education and Development Studies. Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/AEDS-09-2020-0209

Basilaia, G., & Kvavadze, D. (2020). Transition to online education in schools during a SARS-CoV-2 coronavirus (COVID-19) pandemic in Georgia. Pedagogical Research, 5(4), Article em0060. https://doi.org/10.29333/pr/7937

Bayrak, B., & Bayram, H. (2011). Effects of problem-based learning in a Web environment on conceptual understanding: The subject of acids and bases. International Online Journal of Educational Sciences, 3(3), 831–848. www.iojes.net

Bekele, T. A. (2010). Motivation and satisfaction in Internet-supported learning environments: A review. Educational Technology & Society, 13(2), 116–127. https://www.jstor.org/stable/jeductechsoci.13.2.116

Bickle, J. T., Hirudayaraj, M., & Doyle, A. (2019). Social presence theory: Relevance for HRD/VHRD research and practice. Advances in Developing Human Resources, 21(3), 383–399. https://doi.org/10.1177/1523422319851477

Borghans, L., Golsteyn, B. H., & Zölitz, U. (2015). School quality and the development of cognitive skills between age four and six (Discussion paper No. 9200). Institute for the Study of Labor (IZA). http://hdl.handle.net/10419/114080

Chang, K.-C., Hou, W.-L., Pakpour, A. H., Lin, C.-Y., & Griffiths, M. D. (2020). Psychometric testing of three COVID-19-related scales among people with mental illness. International Journal of Mental Health and Addiction, 1–13. https://doi.org/10.1007/s11469-020-00361-6

Daniel, J. (2020). Education and the COVID-19 pandemic. PROSPECTS, 49(1–2), 91–96. https://doi.org/10.1007/s11125-020-09464-3

Dashtestani, R. (2020). Online courses in the higher education system of Iran: A stakeholder-based investigation of pre-service teachers’ acceptance, learning achievement, and satisfaction. The International Review of Research in Open and Distributed Learning, 21(4), 117–142. https://doi.org/10.19173/irrodl.v21i4.4873

Dhawan, S. (2020). Online learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, 49(1), 5–22. https://doi.org/10.1177/0047239520934018

Dost, S., Hossain, A., Shehab, M., Abdelwahed, A., & Al-Nusair, L. (2020). Perceptions of medical students towards online teaching during the COVID-19 pandemic: A national cross-sectional survey of 2,721 UK medical students. BMJ Open, 10(11), Article e042378. https://doi.org/10.1136/bmjopen-2020-042378

Elmer, T., Mepham, K., & Stadtfeld, C. (2020). Students under lockdown: Comparisons of students’ social networks and mental health before and during the COVID-19 crisis in Switzerland. PLOS ONE, 15(7), Article e0236337. https://doi.org/10.1371/journal.pone.0236337

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104

Gillett-Swan, J. (2017). The challenges of online learning: Supporting and engaging the isolated learner. Journal of Learning Design, 10(1), 20–30. https://doi.org/10.5204/jld.v9i3.293

Grieve, R., Padgett, C. R., & Moffitt, R. L. (2016). Assignments 2.0: The role of social presence and computer attitudes in student preferences for online versus offline marking. The Internet and Higher Education, 28, 8–16. https://doi.org/10.1016/j.iheduc.2015.08.002

Hasan, N., & Bao, Y. (2020). Impact of “e-learning crack-up” perception on psychological distress among college students during COVID-19 pandemic: A mediating role of “fear of academic year loss.” Children and Youth Services Review, 118, Article 105355. https://doi.org/10.1016/j.childyouth.2020.105355

Hayes, A. F., & Preacher, K. J. (2013). Conditional process modeling using structural equation modeling to examine contingent causal processes. In G. R. Hancock & R. O. Mueller (Eds.), Structural Equation Modeling: A Second Course (pp. 219–266). IAP Information Age Publishing. https://psycnet.apa.org/record/2014-01991-006

Hostetter, C., & Busch, M. (2006). Measuring up online: The relationship between social presence and student learning satisfaction. Journal of Scholarship of Teaching and Learning, 6(2), 1–12. https://eric.ed.gov/?id=EJ854921

Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., Cheng, Z., Yu, T., Xia, J., Wei, Y., Wu, W., Xie, X., Yin, W., Li, H., Liu, M., … Cao, B. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The Lancet, 395(10223), 497–506. https://doi.org/10.1016/S0140-6736(20)30183-5

Irawan, A. W., Dwisona, D., & Lestari, M. (2020). Psychological impacts of students on online learning during the pandemic COVID-19. KONSELI : Jurnal Bimbingan Dan Konseling (E-Journal), 7(1), 53–60. https://doi.org/10.24042/kons.v7i1.6389

Jonassen, D. H., & Rohrer-Murphy, L. (1999). Activity theory as a framework for designing constructivist learning environments. Educational Technology Research and Development, 47, 61–79. https://doi.org/10.1007/BF02299477

Kassim, M. A. M., Pang, N. T. P., Mohamed, N. H., Kamu, A., Ho, C. M., Ayu, F., Rahim, S. S. S. A., Omar, A., & Jeffree, M. S. (2021). Relationship between fear of COVID-19, psychopathology and sociodemographic variables in Malaysian population. International Journal of Mental Health and Addiction, 1–8. https://doi.org/10.1007/s11469-020-00444-4

Lee, J., Song, H. D., & Hong, A. J. (2019). Exploring factors, and indicators for measuring students’ sustainable engagement in e-learning. Sustainability (Switzerland), 11(4), 985. https://doi.org/10.3390/su11040985

Lee, K., Fanguy, M., Lu, X. S., & Bligh, B. (2021). Student learning during COVID-19: It was not as bad as we feared. Distance Education, 42(1), 164–172. https://doi.org/10.1080/01587919.2020.1869529

Liu, O. L., Bridgeman, B., & Adler, R. M. (2012). Measuring learning outcomes in higher education: Motivation matters. Educational Researcher, 41(9), 352–362. https://doi.org/10.3102/0013189X12459679

Mamun, M. A., & Griffiths, M. D. (2020). A rare case of Bangladeshi student suicide by gunshot due to unusual multiple causalities. Asian Journal of Psychiatry, 49, Article 101951. https://doi.org/10.1016/j.ajp.2020.101951

Masalimova, A. R., Mikhaylovsky, M. N., Grinenko, A. V., Smirnova, M. E., Andryushchenko, L. B., Kochkina, M. A., & Kochetkov, I. G. (2019). The interrelation between cognitive styles and copying strategies among student youth. Eurasia Journal of Mathematics, Science and Technology Education, 15(4), Article em1695. https://doi.org/10.29333/ejmste/103565

McWhirter, N., & Shealy, T. (2020). Case-based flipped classroom approach to teach sustainable infrastructure and decision-making. International Journal of Construction Education and Research, 16(1), 3–23. https://doi.org/10.1080/15578771.2018.1487892

Mubarak, A. A., Cao, H., & Zhang, W. (2020). Prediction of students’ early dropout based on their interaction logs in online learning environment. Interactive Learning Environments. https://doi.org/10.1080/10494820.2020.1727529

Noordegraaf-Eelens, L., Kloeg, J., & Noordzij, G. (2019). PBL and sustainable education: addressing the problem of isolation. Advances in Health Sciences Education, 24(5), 971-979. https://doi.org/10.1007/s10459-019-09927-z

Oudeyer, P.-Y., Gottlieb, J., & Lopes, M. (2016). Intrinsic motivation, curiosity, and learning: Theory and applications in educational technologies. In B. Studer & S. Knecht (Eds.), Progress in brain research: Vol. 229. Motivation: Theory, neurobiology and applications (pp. 257–284). Elsevier. https://doi.org/10.1016/bs.pbr.2016.05.005

Perz, C. A., Lang, B. A., & Harrington, R. (2020). Validation of the fear of COVID-19 scale in a US college sample. International Journal of Mental Health and Addiction, 1–11. https://doi.org/10.1007/s11469-020-00356-3

Pramukti, I., Strong, C., Sitthimongkol, Y., Setiawan, A., Pandin, M. G. R., Yen, C.-F., Lin, C.-Y., Griffiths, M. D., & Ko, N.-Y. (2020). Anxiety and suicidal thoughts during the COVID-19 pandemic: Cross-country comparative study among Indonesian, Taiwanese, and Thai university students. Journal of Medical Internet Research, 22(12), Article e24487. https://doi.org/10.2196/24487

Romero, L., Orzechowski, A., & Rahatka, O. (2014). Teaching problem-solving and critical-thinking skills online using problem-based learning. Educational Technology, 54(1), 20–25. https://www.jstor.org/stable/44430231

Sakib, N., Bhuiyan, A. K. M. I., Hossain, S., Al Mamun, F., Hosen, I., Abdullah, A. H., Sarker, M. A., Mohiuddin, M. S., Rayhan, I., Hossain, M., Sikder, M. T., Gozal, D., Muhit, M., Islam, S. M. S., Griffiths, M. D., Pakpour, A. H., & Mamun, M. A. (2020). Psychometric validation of the Bangla fear of COVID-19 scale: Confirmatory factor analysis and Rasch analysis. International Journal of Mental Health and Addiction, 1–12. https://doi.org/10.1007/s11469-020-00289-x

Shapiro, H. B., Lee, C. H., Wyman Roth, N. E., Li, K., Çetinkaya-Rundel, M., & Canelas, D. A. (2017). Understanding the massive open online course (MOOC) student experience: An examination of attitudes, motivations, and barriers. Computers & Education, 110, 35–50. https://doi.org/10.1016/j.compedu.2017.03.003

Shea, P., Fredericksen, E., Pickett, A., Pelz, W., & Swan, K. (2001). Measures of learning effectiveness in the SUNY learning network. In Online Education (pp. 1–24). http://hdl.handle.net/1802/2764

Songkram, N., Khlaisang, J., Puthaseranee, B., & Likhitdamrongkiat, M. (2015). E-learning system to enhance cognitive skills for learners in higher education. Procedia - Social and Behavioral Sciences, 174, 667–673. https://doi.org/10.1016/j.sbspro.2015.01.599

Stenbom, S. (2018). A systematic review of the community of inquiry survey. The Internet and Higher Education, 39, 22–32. https://doi.org/10.1016/j.iheduc.2018.06.001

Stodel, E. J., Thompson, T. L., & MacDonald, C. J. (2006). Learners’ perspectives on what is missing from online learning: Interpretations through the community of inquiry framework. The International Review of Research in Open and Distributed Learning, 7(3). https://doi.org/10.19173/irrodl.v7i3.325

Strong, R. (2012). Investigating students’ satisfaction with e-learning courses: The effect of learning environment and social presence. Journal of Agricultural Education, 53(3), 98–110. https://doi.org/10.5032/jae.2012.03098

Woods, R. H., & Baker, J. D. (2004). Interaction and immediacy in online learning. The International Review of Research in Open and Distributed Learning, 5(2). https://doi.org/10.19173/irrodl.v5i2.186

Zoller, U., & Pushkin, D. (2007). Matching higher-order cognitive skills (HOCS) promotion goals with problem-based laboratory practice in a freshman organic chemistry course. Chemistry Education Research and Practice, 8(2), 153–171. https://doi.org/10.1039/B6RP90028C

Zolotov, Y., Reznik, A., Bender, S., & Isralowitz, R. (2020). COVID-19 fear, mental health, and substance use among Israeli university students. International Journal of Mental Health and Addiction, 1–7. https://doi.org/10.1007/s11469-020-00351-8

Published
2021-11-22
How to Cite
Munir, F., Anwar, A., & Kee, D. M. H. (2021). The Online Learning and Students’ Fear of COVID-19: Study in Malaysia and Pakistan: . The International Review of Research in Open and Distributed Learning, 22(4), 1-21. https://doi.org/10.19173/irrodl.v22i4.5637
Section
Research Articles