Towards Dynamic Learning: A Framework for Simulating Adaptive Learning Systems

Adaptive learning technologies offer personalized education by tailoring unique learning paths to individual students. Despite extensive study, widespread adoption remains limited due to the considerable costs associated with development and deployment. This paper presents the application of a design-based research framework, integrating Wizard of Oz techniques, intervention design, and decision trees to simulate an adaptive learning platform. This platform dynamically encourages collaborative efforts among students based on their social learning tendencies. Theories of social learning highlight the importance of social interactions in facilitating effective learning outcomes, particularly in remote learning environments. Our research methodology adopts an interdisciplinary approach, drawing insights from social learning theory to explore system concepts within a fluid framework. By employing this methodology, we seek to contribute to ongoing discussions aimed at enhancing technology-supported learning environments.