Bringing Generative AI to Adaptive Learning in Education

TL;DR

This paper explores the integration of generative AI with adaptive learning to enhance educational methods, discussing benefits, challenges, and future potentials for personalized and efficient learning experiences.

Contribution

It provides a comprehensive discussion on combining generative AI with adaptive learning, highlighting new opportunities and challenges in educational technology.

Findings

Generative AI can personalize learning experiences effectively.

Combining AI with adaptive learning enhances student engagement.

Challenges include ethical considerations and technical limitations.

Abstract

The recent surge in generative AI technologies, such as large language models and diffusion models, has boosted the development of AI applications in various domains, including science, finance, and education. Concurrently, adaptive learning, a concept that has gained substantial interest in the educational sphere, has proven its efficacy in enhancing students' learning efficiency. In this position paper, we aim to shed light on the intersectional studies of these two methods, which combine generative AI with adaptive learning concepts. By presenting discussions about the benefits, challenges, and potentials in this field, we argue that this union will contribute significantly to the development of the next-stage learning format in education.