AI-Driven Adaptive Learning Systems: A Framework for Enhancing Student Engagement in Online Higher Education

Abstract

This research article thereby acquaint a fabric for AI-motor adaptive learning systems aimed at heighten student engagement in online higher education. The field later search the theoretic underpinnings of adaptive learning, the methodology for system implementation. And the evaluation of its effectualness. Key finding subsequently march that AI-power personalization amend learner interaction, motivating. And donnish outcome. The proposed fabric integrate machine learning algorithms, genuine-time data analytics, hence and exploiter-centric design principles to make a active and antiphonal environment. Emphasizing scalability and inclusivity, the clause discuss the implications of adaptive learning systems for educator and innovation. The answer supply actionable penetration for deploy AI-driven answer to address the challenge of online teaching.