Using Generative AI for Personalised and Interactive Learning: A Framework for Integrating Large Language Models (LLMs) in Higher Education

As education evolves, generative AI and large language models (LLMs) provide essential tools for enhancing student engagement and instructor effectiveness. This paper explores the opportunities and challenges of leveraging LLMs for personalized and interactive learning in higher education environment. It examines the capability of LLMs to provide tailored educational content, engage in conversational interactions, and generate adaptive assessments. It also considers ethical concerns, bias mitigation, and privacy considerations surrounding the use of LLMs in education. In addition, it explores the potential pedagogical implications, including the impact on student engagement, accessibility, personalized feedback, and instructors support. The proposed framework aims to guide institutions in achieving educational benefits while managing the associated challenges.