Review Gold Open Access 2024

Self-regulation and shared regulation in collaborative learning in adaptive digital learning environments: A systematic review of empirical studies

British Journal of Educational Technology
Journal · Vol. 55 · Issue 4 · pp. 1398-1436
Abstract

Adaptive learning technologies are closely related to learners' self-regulatory processes in individual and collaborative learning. This study presents the outcomes of a systematic literature review of empirical evidence on adaptive learning environments to foster self-regulation and shared regulation of learning in collaborative settings. We provide an overview of what and how adaptive technologies have been used to understand and promote self-regulated learning in collaborative contexts. A search resulted in 38 papers being analysed. Specifically, we identified the seven main objectives (feedback and scaffolding, self-regulatory skills and strategies, learning trajectories, collaborative learning processes, adaptation and regulation, self-assessment, and help-seeking behaviour) that the adaptive technology research has been focusing on. We also summarize the implications derived from the reviewed papers and frame them within seven thematic areas. Finally, this review stresses that future research should consider developing a converging theoretical framework that would enable concrete monitoring and support for self-regulation and socially shared regulation of learning. Our findings set a baseline to support the adoption and proliferation of adaptive learning technology within self-regulated learning research and development. Practitioner notes What is already known about this topic By providing personalized and learner-centric adaptive learning environments (ADLEs), adaptive learning technology can support and foster self-regulated learning (SRL) practices. It is possible to create a more student-centred and effective learning environment by combining adaptive learning and collaborative learning. Socially shared regulatory activities can involve planning, monitoring, controlling and reflecting on a group's learning processes. What this paper adds Provides a systematic literature review of empirical evidence on ADLEs, SRL and socially shared regulation of learning (SSRL) in collaborative contexts. Summarizes the insights on (S)SRL through ADLEs in collaborative learning. Identifies challenges and opportunities for ADLEs to support (S)SRL in collaborative learning. Implications for practice and/or policy Learning analytics and educational technology researchers will be able to use the systematic review as a guide for future research. Learning analytics and educational technology practitioners will be able to use the systematic review as a summary of the field's current state. © 2024 The Authors. British Journal of Educational Technology published by John Wiley & Sons Ltd on behalf of British Educational Research Association.

Keywords

Author Keywords

collaborative learning Adaptive learning Self-regulated learning adaptive learning environments socially shared regulation SRL SSRL

Index Keywords

E-learning Systematic Review Collaborative learning Computer aided instruction Educational technology Adaptive learning Deregulation Scaffolds Adaptive learning environment Learning technology Self regulation Self-regulated learning Socially shared regulation Socially shared regulation of learning
Author Affiliations
Norges Teknisk-Naturvitenskapelige Universitet, Trondheim, Trondelag, Norway
Oulun Yliopisto, Oulu, North Ostrobothnia, Finland
Victoria University of Wellington, Wellington, WGN, New Zealand
Funding & Acknowledgements
No funding information
References 10 References
1 Jurnal Basicedu, (2022)
2 Akcapinar, Gokhan, Discovering the effects of learning analytics dashboard on students' behavioral patterns using differential sequence mining, Procedia Computer Science, 207, pp. 3812-3819, (2022)
3 Alajlani, Nawaf, A systematic review in understanding stakeholders’ role in developing adaptive learning systems, Journal of Computers in Education, 11, 3, pp. 901-920, (2024)
4 Alzahrani, Nisreen, Automatic prediction of learning styles in learning management systems: A literature review, 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2020, (2020)
5 Anindyaputri, Natasha Alyaa, Enhancing Students' Ability in Learning Process of Programming Language using Adaptive Learning Systems: A Literature Review, Open Engineering, 10, 1, pp. 820-829, (2020)
6 Apoki, Ufuoma Chima, The Role of Pedagogical Agents in Personalised Adaptive Learning: A Review, Sustainability (Switzerland), 14, 11, (2022)
7 Azevedo, Roger, Defining and Measuring Engagement and Learning in Science: Conceptual, Theoretical, Methodological, and Analytical Issues, Educational Psychologist, 50, 1, pp. 84-94, (2015)
8 Azevedo, Roger, Self-regulation in computer-assisted learning systems, The Cambridge Handbook of Cognition and Education, pp. 587-618, (2019)
9 Social Foundations of Thought and Action A Social Cognitive Theory, (1986)
10 Experiential Learning an Overview, (2015)
Quick Actions
Full Text via DOI
Citation Metrics
46
Times Cited (Scopus)

References 10
Document Identifiers