Accelerating Learning with AI: Improving Students’ Capability to Receive and Build Automated Feedback for Programming Courses

Résumé fourni par la source

Generative AI (GenAI) based tutoring assistance has shown great potential in delivering adaptive and personalized education. The programming subjects, boasting a large on-campus student body and an active online presence via discussion boards, are well-suited for evaluating the accessibility, engagement, and satisfaction of GenAI-based tutoring assistance. In this paper, we explore the pros and cons of a GenAI-based feedback system, specifically fine-tuning a Large Language Model (LLM), as a potential tool for providing personalized programming subject matter expertise and guiding students towards solutions with interpretability and visualization. To better address the technical issues students encounter in programming and ensure our model provides accurate and professional debugging solutions, we further develop a visualized interaction tool for code interpretation and prompts optimization. Additionally, this paper compares the effectiveness of online discussion boards and the developed LLM in assisting students’ questions and personalized support.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.