A, AI-Based Adaptive Learning Mo AI-Based Adaptive Learning Model to Enhance Students’ Self-Directed Learning in Higher Education

Design, Implementation, and Evaluation of a Personalized Learning Approach

Abstract

This study aims to develop and validate an AI-based adaptive learning model designed to enhance students’ self-directed learning (SDL) in higher education. The research employed a mixed-method design, combining qualitative needs analysis with quantitative validation and pilot testing. Findings indicate that the adaptive learning model significantly improves learner autonomy, engagement, and performance. The integration of learner profiling, adaptive content delivery, dynamic assessment, and learning analytics provides a personalized pathway that fosters SDL. This study contributes to the field of educational technology by bridging AI innovations with pedagogical frameworks, supporting the digital transformation of higher education