Systematic Reviews and Meta Analysis

How can student engagement be improved in Massive Open Online Courses?

Volume: 3 Number: 2 December 31, 2022
TR EN

How can student engagement be improved in Massive Open Online Courses?

Abstract

Today, factors such as the increasing population, the change in expected competencies in daily, social, education, and business life, the need for continuous education, and the increase in the importance of lifelong learning have brought about the diversification of educational environments. Massive open online courses and distance education environments provide great convenience, especially for individuals with limited time and space to meet this increasing need. However, in the literature, negative situations such as the inability to complete the course and low attendance are frequently reported in massive open online settings. There are numerous studies of student engagement in massive open online courses. The focus of systematic studies on this topic is the barriers and challenges to student engagement in such settings. In this study, we focus on the factors (internal and external) affecting student engagement from a systematic perspective. Starting from this, we reviewed 100 studies concentrated on massive open online courses and student engagement in the Web of Science database. The prominent internal factors affecting student engagement in massive open online environments are motivation, self-efficacy, cooperation, and loyalty. The principal external factors are interaction, gamification, feedback, course structure, and design.

Keywords

Engagement, Student Engagement, MOOCs, Massive Open Online Courses

References

  1. Adeyemo, D. A. (2007). Moderating influence of emotional intelligence on the link between academic self-efficacy and achievement of university students. Psychology and developing societies, 19(2), 199-213.
  2. Alamri, M. M. (2022). Investigating Students’ Adoption of MOOCs during COVID-19 Pandemic: Students’ Academic Self-Efficacy, Learning Engagement, and Learning Persistence. Sustainability, 14(2), 714.
  3. Alemayehu, L., & Chen, H.-L. (2021). Learner and instructor-related challenges for learners’ engagement in MOOCs: A review of 2014–2020 publications in selected SSCI indexed journals. Interactive Learning Environments, 1-23.
  4. Alexandron, G., Wiltrout, M. E., Berg, A., Gershon, S. a. K., & Ruipérez‐Valiente, J. A. (2022). The effects of assessment design on academic dishonesty, learner engagement, and certification rates in MOOCs. Journal of Computer Assisted Learning.
  5. Alharbi, K., Alrajhi, L., Cristea, A.I., Bittencourt, I.I., Isotani, S., James, A. (2020). Data-Driven Analysis of Engagement in Gamified Learning Environments: A Methodology for Real-Time Measurement of MOOCs. In: Kumar, V., Troussas, C. (eds) Intelligent Tutoring Systems. ITS 2020. Lecture Notes in Computer Science(), vol 12149. Springer, Cham.
  6. Amado-Salvatierra, H.R., Rizzardini, R.H. (2018). An Experience Using Educational Data Mining and Machine Learning Towards a Full Engagement Educational Framework. In: Uden, L., Liberona, D., Ristvej, J. (eds) Learning Technology for Education Challenges. LTEC 2018. Communications in Computer and Information Science, vol 870. Springer, Cham.
  7. Anderson, A., Huttenlocher, D., Kleinberg, J., & Leskovec, J. (2014). Engaging with massive online courses. Proceedings of the 23rd international conference on World wide web. Seoul, Korea.
  8. Antonaci, A., Klemke, R., Lataster, J., Kreijns, K., Specht, M. (2019). Gamification of MOOCs Adopting Social Presence and Sense of Community to Increase User’s Engagement: An Experimental Study. In: Scheffel, M., Broisin, J., Pammer-Schindler, V., Ioannou, A., Schneider, J. (eds) Transforming Learning with Meaningful Technologies. EC-TEL 2019. Lecture Notes in Computer Science(), vol 11722. Springer, Cham.
  9. Anutariya, C., & Thongsuntia, W. (2019). MOOC design and learners engagement analysis: a learning analytics approach. 2019 International Conference on Sustainable Information Engineering and Technology (SIET). Lombok, Endonesia.
  10. Baek, J., & Shore, J. (2016). Promoting student engagement in MOOCs. L@S 2016: Third (2016) ACM Conference on Learning @ Scale. Edinburgh Scotland, UK.
APA
Uçar, A., & Sarıtepeci, M. (2022). How can student engagement be improved in Massive Open Online Courses? Instructional Technology and Lifelong Learning, 3(2), 176-206. https://doi.org/10.52911/itall.1194260
AMA
1.Uçar A, Sarıtepeci M. How can student engagement be improved in Massive Open Online Courses? ITALL. 2022;3(2):176-206. doi:10.52911/itall.1194260
Chicago
Uçar, Ahmet, and Mustafa Sarıtepeci. 2022. “How Can Student Engagement Be Improved in Massive Open Online Courses?”. Instructional Technology and Lifelong Learning 3 (2): 176-206. https://doi.org/10.52911/itall.1194260.
EndNote
Uçar A, Sarıtepeci M (December 1, 2022) How can student engagement be improved in Massive Open Online Courses? Instructional Technology and Lifelong Learning 3 2 176–206.
IEEE
[1]A. Uçar and M. Sarıtepeci, “How can student engagement be improved in Massive Open Online Courses?”, ITALL, vol. 3, no. 2, pp. 176–206, Dec. 2022, doi: 10.52911/itall.1194260.
ISNAD
Uçar, Ahmet - Sarıtepeci, Mustafa. “How Can Student Engagement Be Improved in Massive Open Online Courses?”. Instructional Technology and Lifelong Learning 3/2 (December 1, 2022): 176-206. https://doi.org/10.52911/itall.1194260.
JAMA
1.Uçar A, Sarıtepeci M. How can student engagement be improved in Massive Open Online Courses? ITALL. 2022;3:176–206.
MLA
Uçar, Ahmet, and Mustafa Sarıtepeci. “How Can Student Engagement Be Improved in Massive Open Online Courses?”. Instructional Technology and Lifelong Learning, vol. 3, no. 2, Dec. 2022, pp. 176-0, doi:10.52911/itall.1194260.
Vancouver
1.Ahmet Uçar, Mustafa Sarıtepeci. How can student engagement be improved in Massive Open Online Courses? ITALL. 2022 Dec. 1;3(2):176-20. doi:10.52911/itall.1194260