Fusing Self-Regulated Learning and Machine Learning to Enhance Open and Distance eLearning

Research published in the Aceh International Journal of Science and Technology has highlighted the potential of combining Self-Regulated Learning (SRL) and Machine Learning (ML) techniques to create intelligent and adaptive learning environments in Open and Distance eLearning (ODeL) contexts. The study, conducted by researchers at the University of South Africa, aimed to explore the extent to which SRL and ML have been fused to enhance teaching and learning in ODeL contexts. The study found that a significant number of studies utilize ML algorithms, such as reinforcement learning, natural language processing, and supervised learning, to analyze learners' data and provide adaptive feedback and recommendations related to SRL theory.

Key Takeaways:

• The study reviewed 39 peer-reviewed articles published between 2019 and 2025, focusing on the implementation of ML techniques to model, support, or enhance SRL strategies in ODeL digital learning platforms.
• The research found that ML algorithms are effective in enhancing SRL, particularly in structured online courses or intelligent tutoring systems.
• However, most studies are limited to these settings, rather than fully open or distance learning environments.
• The study concluded that there is a need to develop ODeL systems that utilize both SRL and ML to enhance teaching and learning.
• Researchers suggest combining ML and SRL to enable ODeL institutions to develop Learning Management Systems (LMS) that improve learner engagement, retention, and performance.

Statistics:

• 39 peer-reviewed articles were reviewed in the study, published between 2019 and 2025.
• The studies utilized major academic databases, including Google Scholar, SpringerLink, ScienceDirect, IEEE Xplore, and Scopus.
• A significant number of studies utilized ML algorithms, such as reinforcement learning (23%), natural language processing (15%), supervised learning (12%), and unsupervised clustering (10%).
• The research found limited studies that focused on the development of ODeL systems that utilize both SRL and ML to enhance teaching and learning.

Sources:

• Fusing Self-Regulated Learning and Machine Learning to Enhance Open and Distance eLearning Systems. A systematic review. Aceh International Journal of Science and Technology, 2025,14(2):172-188.
• NewsRx. Reports from University of South Africa Add New Study Findings to Research in Machine Learning (Fusing Self-Regulated Learning and Machine Learning to Enhance Open and Distance eLearning Systems. A systematic review). Education Letter. October 29, 2025; p 538.