EN
TR
Patterns of Lifelong Learning in Online Platforms: Evidence from Course Usage Data
Abstract
This study examines enrolment and completion patterns across online learning platforms to understand what shapes participation in digital lifelong learning. A dataset of 10,000 courses from four major platforms — Coursera, edX, Udemy, and LinkedIn Learning — was examined. The study focused on how course features such as duration, price, learner ratings, and subject area relate to engagement outcomes. Two main findings stand out. First, enrolment levels, completion rates, and learner satisfaction scores were surprisingly similar across all four platforms, even though these platforms differ in ownership, business model, and target audience. Completion rates were close to 75 percent on all platforms. Second, course-level design features showed very little connection to either enrolment numbers or completion likelihood, together explaining less than one percent of the variation in engagement outcomes. These results suggest that participation patterns are driven mainly by learner characteristics and motivation, not by course design features that institutions can easily adjust. The study contributes to understanding online learning engagement by showing how little course attributes predict participation. For educational policy, the findings point to ongoing difficulties in using online platforms to widen access. Achieving more equal participation likely requires addressing barriers that go beyond course pricing and design.
Keywords
- Online learning platforms
- Lifelong learning
- Digital education
- Massive Open Online Courses (MOOC's)
- Distance Education
Ethical Statement
The data in this study do not require ethics committee approval as they are secondary data.
References
- Aspin, D. N., & Chapman, J. D. (2010). Lifelong learning: Concepts and conceptions. International Journal of Lifelong Education, 19(1), 2-19. https://doi.org/10.1080/026013700293421
- Billsberry, J., & Alony, I. (2024). The MOOC post-mortem: Bibliometric and systematic analyses of research on massive open online courses (MOOCs), 2009 to 2022. Journal of Management Education, 48(4), 634-670. https://doi.org/10.1177/10525629231190840
- Bozkurt, A. (2021). Surfing on three waves of MOOCs: An examination and snapshot of research in massive open online courses. Open Praxis, 13(3), 296-311. https://doi.org/10.5944/openpraxis.13.3.132
- Broadbent, J., & Poon, W. L. (2015). Self-Regulated Learning Strategies & Academic Achievement in Online Higher Education Learning Environments: A systematic Review. The Internet and Higher Education, 27, 1-13. https://doi.org/10.1016/j.iheduc.2015.04.007
- Celik, B., & Cagiltay, K. (2024). Uncovering MOOC completion: A comparative study of completion rates from different perspectives. Open Praxis, 16(3), 445-456. https://doi.org/10.55982/openpraxis.16.3.606
- Cristea, A. I., Alamuddin, R., Muntean, C., & De Meo, P. (2018). Can learner characteristics predict their behaviour on MOOCs? ICETC'18: In Proceedings of the 10th International Conference on Education Technology and Computers (pp. 119-128). ACM. https://doi.org/10.1145/3290511.3290568
- Dabbagh, N., & Castaneda, L. (2020). The PLE as a framework for developing agency in lifelong learning. Educational Technology Research and Development, 68(6), 3041-3055. https://doi.org/10.1007/s11423-020-09831-z
- Davis, D., Chen, G., Hauff, C., & Houben, G. J. (2018). Activating learning at scale: A review of innovations in online learning strategies. Computers & Education, 125, 327-344. https://doi.org/10.1016/j.compedu.2018.05.019
Details
Primary Language
English
Subjects
Instructional Technologies, Informal Learning, Out-of-School Learning, Lifelong learning
Journal Section
Research Article
Authors
Early Pub Date
October 13, 2026
Publication Date
-
Submission Date
March 25, 2026
Acceptance Date
October 1, 2026
Published in Issue
Year 2026 Number: Advanced Online Publication
APA
Oğul, V. G., & Balcıoğlu, Y. S. (2026). Patterns of Lifelong Learning in Online Platforms: Evidence from Course Usage Data. Abant İzzet Baysal Üniversitesi Eğitim Fakültesi Dergisi, Advanced Online Publication. https://doi.org/10.17240/aibuefd.2026..-1915972
AMA
1.Oğul VG, Balcıoğlu YS. Patterns of Lifelong Learning in Online Platforms: Evidence from Course Usage Data. BAİBÜEFD. 2026;(Advanced Online Publication). doi:10.17240/aibuefd.2026.-1915972
Chicago
Oğul, Verda Gizem, and Yavuz Selim Balcıoğlu. 2026. “Patterns of Lifelong Learning in Online Platforms: Evidence from Course Usage Data”. Abant İzzet Baysal Üniversitesi Eğitim Fakültesi Dergisi, no. Advanced Online Publication. https://doi.org/10.17240/aibuefd.2026. -1915972.
EndNote
Oğul VG, Balcıoğlu YS (October 1, 2026) Patterns of Lifelong Learning in Online Platforms: Evidence from Course Usage Data. Abant İzzet Baysal Üniversitesi Eğitim Fakültesi Dergisi Advanced Online Publication
IEEE
[1]V. G. Oğul and Y. S. Balcıoğlu, “Patterns of Lifelong Learning in Online Platforms: Evidence from Course Usage Data”, BAİBÜEFD, no. Advanced Online Publication, Oct. 2026, doi: 10.17240/aibuefd.2026..-1915972.
ISNAD
Oğul, Verda Gizem - Balcıoğlu, Yavuz Selim. “Patterns of Lifelong Learning in Online Platforms: Evidence from Course Usage Data”. Abant İzzet Baysal Üniversitesi Eğitim Fakültesi Dergisi. Advanced Online Publication (October 1, 2026). https://doi.org/10.17240/aibuefd.2026. -1915972.
JAMA
1.Oğul VG, Balcıoğlu YS. Patterns of Lifelong Learning in Online Platforms: Evidence from Course Usage Data. BAİBÜEFD. 2026. doi:10.17240/aibuefd.2026.-1915972.
MLA
Oğul, Verda Gizem, and Yavuz Selim Balcıoğlu. “Patterns of Lifelong Learning in Online Platforms: Evidence from Course Usage Data”. Abant İzzet Baysal Üniversitesi Eğitim Fakültesi Dergisi, no. Advanced Online Publication, Oct. 2026, doi:10.17240/aibuefd.2026. -1915972.
Vancouver
1.Verda Gizem Oğul, Yavuz Selim Balcıoğlu. Patterns of Lifelong Learning in Online Platforms: Evidence from Course Usage Data. BAİBÜEFD. 2026 Oct. 1;(Advanced Online Publication). doi:10.17240/aibuefd.2026. -1915972