Sign inSubmit
ArticleMetrics
Research Article · Open access · Published 11 January 2020

Proposed Self-Regulation Model for Collaborative E-Learning Systems in Kenyan Public Universities

Grace Leah Akinyi1 & Robert Oboko1

American Journal of Engineering and Applied Sciences, Volume 13, Issue 1, pp. 37–48 · doi.org/10.3844/ajeassp.2020.37.48

7,717 accesses3,694 downloads4 citations (Crossref)Metrics
Cite Check for updates

Abstract

Integration of technology in learning such as Electronic-learning has become an indispensable segment of higher education in Sub-Saharan Africa. This has opened up opportunities that improve teaching and learning. There is need for intervening in e-learning environments towards developing Self-regulated learning support, which can lead to improvement in performance and learner retention. SRL provides students with capability to acquire and update complex and systemic concepts and make judgements about their progress as they do so. Lack of ability to self-regulate is a major reason for dropout rates and poor performance in E-learning courses, due in part to students not recognizing the effort and organization required to succeed in online courses and the difficulty for instructors to monitor student progress. This study was carried out in order to develop an SRL model for collaborative e-learning based on SRL theories to determine the SRL strategies to model. The study proposes an SRL model based on Social Cognitive Theory of SRL as an intervention for reducing drop-out rates and improving performance of e-learning environments in Kenyan Public Universities.

Licence and reuse

Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.

How to reuse this article

Responses (0)

Have a comment on this research? Sign in to respond. Responses are moderated and published with your name and affiliation; the authors are invited to reply. How we use your dataWrite a response

About this article

Cite this article

Akinyi, G. L. & Oboko, R. (2020). Proposed Self-Regulation Model for Collaborative E-Learning Systems in Kenyan Public Universities. American Journal of Engineering and Applied Sciences, 13(1), 37–48. https://doi.org/10.3844/ajeassp.2020.37.48

Licence
CC BY 3.0
Issue
Volume 13, Issue 1
Policies
Editorial independenceUse of generative AIData availabilityAppeals and complaints
Version
Version of record
Proposed Self-Regulation Model for Collaborative E-Learning Systems in Kenyan Public UniversitiesAmerican Journal of Engineering and Applied Sciences · Volume 13, Issue 1 · pp. 37–48 · CC BY 3.0Download