A Narrative Review on AI-Driven Learning Platforms and Their Role in Improving Learner Autonomy

The swift amalgamation of artificial intelligence (AI) into educational contexts has transformed the ways learners interact with instructional materials, offering new avenues for fostering autonomy. This narrative review investigates the role of AI-driven learning platforms in enhancing learner autonomy by examining features such as personalized learning pathways, adaptive feedback, and metacognitive support. Utilizing evidence from empirical studies, systematic reviews, and experimental research, the findings indicate that AI platforms significantly improve learners’ self-regulation, goal-setting, reflective practices, and independent engagement with content. However, the impact of AI on autonomy is mediated by learner characteristics, context, and the degree of control students have over AI tools. While AI personalization enhances motivation and digital literacy, excessive reliance without pedagogical guidance may impede autonomous learning. The study emphasizes the importance of intentional integration, equitable access, and scaffolding to maximize the benefits of AI for learner autonomy. These insights contribute to the growing discourse on technology-enhanced education, providing practical recommendations for educators and institutions seeking to cultivate self-directed learners in the digital era.