Managing the modern classroom: intra-learner, teacher-learner, and AI-learner interactions in secondary education: A systematic review.

Authors

  • Albert Byiringiro Faculty of Education, Bishop Stuart University, Mbarara, Uganda Author

DOI:

https://doi.org/10.51168/ks5fvs76

Keywords:

Tri-Interactive Classroom Management, Self-Regulated Learning (SRL),, Teacher-Learner Interaction, , AI-Learner Interaction, Secondary Education

Abstract

The wide-ranging integration of artificial intelligence (AI) technology has had a significant impact on classroom management in secondary education. While traditional classroom management models focused on interactions between teachers and learners, the modern classroom environment requires consideration of intra-learner interactions and AI-learner interactions in addition to traditional teacher-learner interactions. Methods: A systematic literature search was conducted on Google Scholar, Scopus, and Web of Science to identify peer-reviewed studies on secondary education, classroom management, and AI-assisted learning. Based on the search results and after applying pre-defined inclusion criteria, 29 studies were included in the synthesis. The synthesis was conducted to identify three interaction domains: intra-learner interactions, teacher-learner interactions, and AI-learner interactions. Results: The studies indicate that behavioral regulation, cognitive engagement, and learner autonomy are optimized when intra-learner interactions, teacher-learner interactions, and AI-learner interactions occur in a synergistic manner. While AI-assisted learning enhances learner self-regulation and provides feedback to learners, it also poses a risk of digital addiction and a decrease in teacher-learner interaction if not balanced in an appropriate manner. Conclusion: The concept of tri-interactive classroom management provides an integrated framework for modern secondary education. It is imperative for teachers to develop skills that promote learner autonomy while simultaneously utilizing AI technology to function as co-regulators of the learning process. Future studies should investigate the application of this framework in diverse cultural contexts and its long-term effects on learners, including the role of AI in motivating and cognitively enhancing learners.

Author Biography

  • Albert Byiringiro, Faculty of Education, Bishop Stuart University, Mbarara, Uganda

    is a part-time lecturer at Mount Kigali University and the Institut Catholique de Kabgayi (Rwanda) and offers lectures and supervises student teachers for education-related fields of study. He has vast knowledge and experience in education planning and management, and education research, focusing on the innovations that exist and are applicable in the learning processes and methodologies. He is currently pursuing his Ph.D. studies in Education Planning, Management, and Administration at Bishop Stuart University (Uganda). He has also published papers that focus on the involvement of the stakeholders in the education system of Rwanda, aside from others that are relevant to global education. Albert Byiringiro is conversant with English, French, Swahili, and Kinyarwanda. He also undertakes research and consultancy work that focuses on his area of interest, with the objective of enhancing educational success and the digital transformation process that supports social development and the process of globalization.

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Published

2026-04-01

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Section

Original Peer-Reviewed Articles

How to Cite

Byiringiro, A. (2026). Managing the modern classroom: intra-learner, teacher-learner, and AI-learner interactions in secondary education: A systematic review. SJ Education Research Africa, 3(4), 11. https://doi.org/10.51168/ks5fvs76

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