Journal Screenshot

International Journal of Academic Research in Progressive Education and Development

Open Access Journal

ISSN: 2226-6348

Learning Satisfaction towards Online Distance Learning (ODL) among Physical and Health Education Students during COVID-19 Pandemic

Amiratul Arifah Abdul Fatah, Ani Mazlina Dewi Mohamed

http://dx.doi.org/10.6007/IJARPED/v11-i4/15858

Open access

The implications of online learning versus face-to-face learning have been discussed for several years in higher education. Hence, this study’s objective was to assess the learning satisfaction towards Online Distance Learning (ODL) and its relationship with ODL readiness in the context of Physical Education setting. This quantitative research adopted an online survey method that measure the ODL readiness and learning satisfaction among 172 Physical and Health Education students who are practicing ODL due to Corona Virus Disease (COVID-19) pandemic. The results indicate that ODL readiness is more likely to affect the learning satisfaction among students while having ODL session and it led to low satisfaction level in learning. The results of learning satisfaction level showed a small effect in accordance to gender; male students are anticipated to have slightly higher than female students due to dissimilarity of skill possessed. On this basis, it is recommended the ODL readiness among students should be considered when performing ODL classes in order to achieve high learning satisfaction towards ODL.

Allen, I. E., & Seaman, J. (2017). Digital Compass Learning: Distance Education Enrolment Report, Babson Survey Research Group. Babson College, 231 Forest Street, Babson Park.
Almanthari, A., Maulina, S., & Bruce, S. (2020). Secondary school mathematics teachers’ views on E-learning implementation barriers during the COVID-19 pandemic: the case of Indonesia. Eurasia Journal of Mathematics, Science and Technology Education, 16(7).
Bao, W. (2020). COVID?19 and online teaching in higher education: A case study of Peking University. Human Behavior and Emerging Technologies, 2(2):113-5.
Chaiprasurt, C., & Esichaikul, V. (2013). Enhancing motivation in online courses with mobile communication tool support: A comparative study, International Review of Research in Open and Distributed Learning, 14(3), 377-401.
Chu, R. J. (2010). How family support and Internet self-efficacy influence the effects of e-learning among higher aged adults–Analyses of gender and age differences, Computers & Education, 1;55(1):255-64.
Chu, Y. H., & Li, Y. C. (2022). The Impact of Online Learning on Physical and Mental Health in University Students during the COVID-19 Pandemic, Int J Environ Res Public Health, 3;19(5):2966. doi: 10.3390/ijerph19052966. PMID: 35270659; PMCID: PMC8910686
Croxton, R. A. (2014). The role of interactivity in student satisfaction and persistence in online learning, Journal of Online Learning and Teaching, 1;10(2):314.
Demir, K. (2015). The Effect of Organizational Trust on the Culture of Teacher Leadership in Primary Schools, Educational Sciences: Theory and Practice, 15(3), 621-34.
Fauzi, M. A. (2022). E-learning in higher education institutions during COVID-19 pandemic: current and future trends through bibliometric analysis, Heliyon, 8(5).
Filius, R. M., De Kleijn, R. A., Uijl, S. G., Prins, F. J., Van Rijen, H. V., Grobbee, D. E. (2019). Audio peer feedback to promote deep learning in online education. Journal of Computer Assisted Learning, 35(5):607-19.
Gencer, B. G. (2015). A case study on the application of the flipped classroom model in schools (Unpublished master's thesis). Bahcesehir University, Istanbul.
Hao, Y. (2016). Exploring undergraduates' perspectives and flipped learning readiness in their flipped classrooms. Computers in Human Behavior, 1(59), 82-92.
Harsasi, M., & Sutawijaya, A. (2018). Determinants of student satisfaction in online tutorial: A study of a distance education institution. Turkish Online Journal of Distance Education, 1;19(1):89-99.
Hartnett, M., St. George, A., & Dron, J. (2011). Examining motivation in online distance learning environments: Complex, multifaceted, and situation-dependent. International Review of Research in Open and Distributed Learning, 12(6), 20-38.
Harvey, H. L., Parahoo, S., & Santally, M. (2017). Should gender differences be considered when assessing student satisfaction in the online learning environment for millennials? Higher Education Quarterly, 71(2), 141-58.
Ilgaz, H., & Gulbahar, Y. (2015). A snapshot of online learners: e-Readiness, e-Satisfaction and expectations. International Review of Research in Open and Distributed Learning, 16(2), 171-87.
Kaur, G. (2020). Digital Life: Boon or bane in teaching sector on COVID-19. CLIO an Annual Interdisciplinary Journal of History, 6(6), 416-27.
Krejcie, R. V., & Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30(3), 607–610.
https://doi.org/10.1177/001316447003000308
Kuo, Y. C., Walker, A. E., Schroder, K. E., & Belland, B. R. (2014). Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. The internet and higher education, 1(20), 35-50.
Lee, L. T., Hung, J. C. (2015). Effects of blended e-Learning: a case study in higher education tax learning setting. Hum. Cent. Comput. Inf. Sci., 5, 13. https://doi.org/10.1186/s13673-015-0024-3
Liberatore, M. J., & Wagner, W. P. (2021). Gender, performance, and self-efficacy: A quasi-experimental field study, Journal of Computer Information Systems. 5:1-9.
Lu, H. P., & Chiou, M. J. (2010). The impact of individual differences on e?learning system satisfaction: A contingency approach, British Journal of Educational Technology, 41(2), 307-23.
Martin, F., Stamper, B., & Flowers, C. (2020). Examining Student Perception of Readiness for Online Learning: Importance and Confidence, Online Learning, 24(2), 38-58.
Nunnally, J. C. (1994). Psychometric Theory 3E. New York, NY: Tata McGraw-Hill Education.
Parahoo, S. K., Santally, M. I., Rajabalee, Y., & Harvey, H. L. (2016). Designing a predictive model of student satisfaction in online learning. Journal of Marketing for Higher Education, 26(1), 1-9.
Pruet, P., Ang, C. S., Farzin, D., & Chaiwut, N. (2015). Exploring the Internet of “Educational Things” (IoET) in rural underprivileged areas. 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 24 (pp. 1-5). IEEE.
Rahman, N. A., Hussein, N., & Aluwi, A. H. (2015). Satisfaction on blended learning in a public higher education institution: What factors matter?. Procedia-social and behavioral sciences, 25(211), 768-75.
Richard, M. O., Chebat, J. C., Yang, Z., & Putrevu, S. (2021). A proposed model of online consumer behavior: Assessing the role of gender. Journal of Business Research, 63(9-10), 926-34.
Rios, T., Elliott, M., & Mandernach, B. J. (2018). Efficient instructional strategies for maximizing online student satisfaction. Journal of Educators Online, 15(3).
Shraim, K., & Khlaif, Z. (2010). An e-learning approach to secondary education in Palestine: opportunities and challenges. Information Technology for Development, 1;16(3):159-73.
Smith, C. M. (2015). Implementing and evaluating a blended learning format in the communication internship course. Journal of Information Technology Education: Innovations in Practice, 14(1):271-35.
Tarus, J. K., Gichoya, D., & Muumbo, A. (2015). Challenges of implementing e-learning in Kenya: A case of Kenyan public universities. The International Review of Research in Open and Distributed Learning, 16(1). https://doi.org/10.19173/irrodl.v16i1.1816
Tinto, V. (1975). Dropout from Higher Education: A Theoretical Synthesis of Recent Research. Review of Educational Research, 45(1), 89–125.
https://doi.org/10.3102/00346543045001089.
Topal, A. D. (2016). Examination of University Students' Level of Satisfaction and Readiness for E-Courses and the Relationship between Them. European Journal of Contemporary Education, 15(1), 7-23.
Toquero C.M. (2020). Challenges and Opportunities for Higher Education Amid the COVID-19 Pandemic: The Philippine Context. Pedagogical Research, 5(4).
Vela, K. (2018). Using Slack to communicate with medical students. Journal of the Medical Library Association: JMLA, 106(4), 504–507. https://doi.org/10.5195/jmla.2018.482
Yang, F., & Li, F. W. (2018). Study on student performance estimation, student progress analysis, and student potential prediction based on data mining. Computers & Education, 1;123:97-108.
Yu, T., & Richardson, J. (2015). An exploratory factor analysis and reliability analysis of the student online learning (SOLR) instrument. Online Learning, 19(5), 120–141.
Yurdugul, H., & Alsancak, S. D. (2013). The Scale of Online Learning Readiness: A Study of Validity and Reliability. Egitim ve Bilim, 38. 391-406.

In-Text Citation: (Fatah & Mohamed, 2022)
To Cite this Article: Fatah, A. A. A., & Mohamed, A. M. D. (2022). Learning Satisfaction towards Online Distance Learning (ODL) among Physical and Health Education Students during COVID-19 Pandemic. International Journal of Academic Research in Progressive Education and Development, 11(4), 298–309.