Generative AI for Interactive Learning in Education

Sylvia Melzer, Thomas Asselborn, Ralf Möller

Abstract: Integrating Large Language Models (LLMs), such as GPT-4o, into educational settings can enhance teaching, learning, and administrative processes. This article explores the multifaceted applications of LLMs in education, including personalised learning experiences and content creation. It examines the benefits of LLMs, such as improved accessibility, heightened student engagement, and the automation of routine administrative tasks. However, using LLMs are not without challenges, including ethical concerns, technical limitations, and the complexities of integration into traditional educational frameworks. Insights from the University of Hamburg’s lecture: “GenAI in Education, Science, and Society” are highlighted to provide a theoretical and practical perspective on LLM implementations. The paper also discusses future directions for advancing LLMs and fostering interactive collaboration with LLMs to maximise the potential of the interactive learning process in education. This article underscores the importance of thoughtful and responsible deployment and usage of LLMs to improve the educational landscape by addressing opportunities and challenges. We also use the newly defined ‘interactive classroom’ to show how teaching could be organised in the future.

External IDs:dblp:journals/dbsk/MelzerAM25