Integrating LLMs in Higher Education, Through Interactive Problem Solving and Tutoring: Algorithmic Approach and Use Cases
数学教育
计算机科学
多媒体
人机交互
心理学
作者
Nikolaos Bakas,Maria Papadaki,Evgenia Vagianou,Ioannis T. Christou,Savvas A. Chatzichristofis
出处
期刊:Lecture notes in business information processing日期:2024-01-01卷期号:: 291-307被引量:2
标识
DOI:10.1007/978-3-031-56478-9_21
摘要
Despite the concerns that recent developments in Large Language Models (LLMs) have raised, they undoubtedly revealed a novel potential of Artificial Intelligence (AI) algorithms in educational environments. Whether they are used for tutoring, in a manner similar to that of Intelligent Tutoring Systems (ITS), or to support assessment design and delivery, their impact in a learning setting is remarkable. In this paper, we propose an interactive tutoring approach, utilizing ChatGPT's API. By exploiting ChatGPT's programming interface, we can develop customized interactive problem-solving and tutoring sessions on specific topics of interest. The API's versatility allows for dynamic interactions, fostering a deeper understanding of subjects taught and effective problem-solving skills. We demonstrate the application of the developed code in an applied educational setting with specific use cases.