Motivation to Learn Online: An Overview of Students’ Perceptions
Authors
Akademi Pengajian Bahasa, Universiti Teknologi MARA, Shah Alam (Malaysia)
Akademi Pengajian Bahasa, Universiti Teknologi MARA, Shah Alam (Malaysia)
Akademi Pengajian Bahasa, Universiti Teknologi MARA, Shah Alam (Malaysia)
Jining Polytechnic, Shandong (China)
Akademi Pengajian Bahasa, Universiti Teknologi MARA, Shah Alam (Malaysia)
Article Information
DOI: 10.47772/IJRISS.2025.922ILEIID0036
Subject Category: Education
Volume/Issue: 9/22 | Page No: 361-375
Publication Timeline
Submitted: 2025-09-22
Accepted: 2025-09-30
Published: 2025-10-22
Abstract
Student motivation is crucial for engagement and success in online learning. This quantitative study is based on Bandura’s (2012) Social Cognitive Theory and Fowler’s (2018) motivation framework for online learning. Social Cognitive Theory emphasizes the interaction between personal factors, behaviour, and environment in learning. The study examines how value, expectancy, and social support shape online learning motivation. A 5-point Likert survey with four sections was administered to 229 purposively selected participants. Section A covered demographics, Section B measured value, Section C measured expectancy, and Section D measured social support. Results show value strongly enhances motivation, while expectancy boosts confidence and belief in success. Social and instructor support also improve performance in online language learning. Overall, all variables demonstrated strong positive correlations with online motivation. The study refines the MLOQ framework and suggests future research on cultural, gender, and emotional factors to sustain long-term online learning motivation.
Keywords
Motivation, Online Learning, Perceptions, Social Cognitive Theory
Downloads
References
1. Al-Thani, N. J. & Ahmad, Z. (2020). Teaching and learning with Research Cognitive Theory. https://doi.org/10.1007/978-3-031-87544-1 [Google Scholar] [Crossref]
2. Artino, A. R. (2008). Motivational beliefs and perceptions of instructional quality: Predicting satisfaction with online training. Journal of Computer Assisted Learning, 24(3), 260-270. doi: 10.1111/j.1365-2729.2007.00258.x [Google Scholar] [Crossref]
3. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall. [Google Scholar] [Crossref]
4. Bandura, A. (2012). Social cognitive theory. In P. A. M. Van Lange, A. W. Kruglanski, & E. T. Higgins (Eds.), Handbook of theories of social psychology (pp. 349-373). Sage Publications Ltd. https://doi.org/10.4135/9781446249215.n18 [Google Scholar] [Crossref]
5. Bedi, A. (2023) Keep learning: Student engagement in an on online environment. Online Learning, 27(2), 119- 136. http://dx.doi.org/10.24059/olj.v27i2.3287 [Google Scholar] [Crossref]
6. Clark, E., Davis, O. J., & Al-Jabri, S. (2025). The impact of Using Online Learning Platforms on Student Learning Motivation. International Journal of Educational Narratives, 3(2),123. https://doi.org/10.70177/ijen.v3i2.2148 [Google Scholar] [Crossref]
7. Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. New York: Plenum. [Google Scholar] [Crossref]
8. Devkota, S. P., Giri, D. R., & Bagale, S. (2017). Developing 21st century skills through project-based learning in EFL context: challenges and opportunities. The Online Journal of New Horizons in Education, 7(1). https://tojqih.net/journals/tojned/articles/v07i01/v07i01-07.pdf [Google Scholar] [Crossref]
9. Dweck, C. S. (1999). Self-theories: Their role in motivation, personality, and development. Philadelphia, PA: Psychology Press. [Google Scholar] [Crossref]
10. Elshareif, E. & Mohamed, E. (2021). The effects of e-learning on students’ motivation to learn in higher education. Online Learning, 25(3), 128-143. doi:10.24059/olj. v25i3.2336 [Google Scholar] [Crossref]
11. Fowler, S. (2018). The Motivation to learn Online Questionnaire. Doctor of Philosophy Dissertation. Graduate Faculty, The University of Georgia. https://getd.libs.uga.edu/pdfs/fowler_kevin_s_201805_phd.pdf [Google Scholar] [Crossref]
12. Fuente, J. de la, Vicente, J. M. M., Santos, F. H., Sander, P., Fadda, S., Karagiannopoulou, E., Boruchovitch, E., & Kauffman, D. F. (2022). Advances on Self-Regulation Models: A New Research Agenda Through the SR vs ER Behavior Theory in Different Psychology Contexts. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.861493 [Google Scholar] [Crossref]
13. Guo, W., & Zhou, W. (2021). Relationships Between Teacher Feedback and Student Motivation: A Comparison Between Male and Female Students. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.679575 [Google Scholar] [Crossref]
14. Jackson, S. L. (2015). Research methods and Statistics-A Critical Thinking Approach (5tH Edition). Boston, USA: Cengage Learning. [Google Scholar] [Crossref]
15. Jiang, Z., & Xie, K. (2022). Motivating Online Language Learners: From Theory to Design Strategies. Journal of Technology and Chinese Language Teaching, 13(1), 1-25. http://www.tclt.us/journal/2022v13n1/jiangxie.pdf [Google Scholar] [Crossref]
16. Keller, J. M. (2008). First principles of motivation to learn and e3-learning. Distance Education, 29(2), 175-185. doi: 10.1080/01587910802154970 [Google Scholar] [Crossref]
17. Ku, H-Y., Tseng, H. W., & Akarasriworn, C. (2013). Collaboration factors, teamwork satisfaction, and student attitudes toward online collaborative learning, Computers in Human Behavior, 29(3), 922–929. http://dx.doi.org/10.1016/j.chb.2012.12.019 [Google Scholar] [Crossref]
18. Liu, Y., Ma, S., & Chen, Y. (2024). The impacts of learning motivation, emotional engagement and psychological capital on academic performance in a blended learning university course. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.13 57936 [Google Scholar] [Crossref]
19. Liu, Y., Zheng, X., & Hau, K. (2023). Would emphasizing the instrumental value of learning help unmotivated students? Large-scale cross-cultural comparisons. Personality and Individual Differences, 207, 112148. https://doi.org/10.1016/j.paid.2023.1121 48 [Google Scholar] [Crossref]
20. Mazlan, A. F., Mohamad, M., Reesha, A., Kassim, R., Othman, Z., & Kummin, S. (2021). Challenges and Strategies to Enhance Online Remote Teaching and Learning by Tertiary Institution Educators: A Literature Review. Creative Education, 12(4), 718-726. https://doi.org/10.4236/ce.2021.124050 [Google Scholar] [Crossref]
21. Meşe, E. & Sevilen, Ç. (2021). Factors influencing EFL students’ motivation in online learning: A qualitative case study. Journal of Educational Technology & Online Learning, 4(1), 11-22. [Google Scholar] [Crossref]
22. Rahmat,N. H., & Thasrabiab, T. (2024). Exploring Motivation and Self-Regulation from the Social Cognitive View. International Journal of Academic Research in Business & Social Sciences, 14(1), 3276-3290.http://dx.doi.org/10.6007/IJARBSS/v14-i1/20476 [Google Scholar] [Crossref]
23. Santos, J. B. D. L., Ignalig, W. O., & Elesio, J. M. (2025). The Impact of Flipped Classroom Strategy on College Students’ Motivation to Learn Online in Enhancing Academic Performance in History Courses. Deleted Journal, 2(3), 104. https://doi.org/10.59324/ejahss.2025.2(3).10 [Google Scholar] [Crossref]
24. Siok, T. H., Sim, M. S., & Rahmat, N. H. (2023). Motivation to Learn Online: An Analysis From Mcclelland’s Theory of Needs. International Journal of Academic Research in Business and Social Sciences, 13(3). https://doi.org/10.6007/ijarbss/v13-i3/16471 [Google Scholar] [Crossref]
25. Sudarnoto, L. F., Handoko, M. T., Riyanto, A., & Arini, D. P. (2025). The impact of online learning, learning motivation, and interpersonal relationships on student -s’ wellbeing. Social Sciences & Humanities Open, 11, 101485. https://doi.org/10.1016/j.ssaho.2025.101485 [Google Scholar] [Crossref]
26. Yeager, D. S., & Dweck, C. S. (2023). Mindsets and adolescent mental health. Nature Mental Health, 1(2), 79. https://doi.org/10.1038/s44220-022-00009-5 [Google Scholar] [Crossref]
27. Zahid, A. Z. M., Kamaruddin, S. F., Saifullizam, N. Z., Noh, N., Ismail, H. B., & Kassim, J. (2024). The influence of value, social support and expectancy in online learning. International Journal of Academic Research in Business and Social Sciences, 14(7), 918–937. [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Assessment of the Role of Artificial Intelligence in Repositioning TVET for Economic Development in Nigeria
- Teachers’ Use of Assure Model Instructional Design on Learners’ Problem Solving Efficacy in Secondary Schools in Bungoma County, Kenya
- “E-Booksan Ang Kaalaman”: Development, Validation, and Utilization of Electronic Book in Academic Performance of Grade 9 Students in Social Studies
- Analyzing EFL University Students’ Academic Speaking Skills Through Self-Recorded Video Presentation
- Major Findings of The Study on Total Quality Management in Teachers’ Education Institutions (TEIs) In Assam – An Evaluative Study