用AI助手帮学生一步步解编程题，效果接近真人导师。
LeafTutor: An AI Agent for Programming Assignment Tutoring
- 基于大模型构建分步指导的AI Tutor，自动解析编程问题
- 真实作业测试显示其指导效果媲美人类助教
- 适合高校编程教学、AI辅助教育研究者参考
STEM学位项目学生人数激增，对可扩展的辅导支持需求上升，而高校面临合格教师和助教短缺。为应对这一挑战，本文开发了基于大语言模型（LLMs）的LeafTutor AI辅导代理，可为学生提供分步编程指导。通过真实编程作业评估，结果表明该系统提供的指导与人类导师水平相当。本研究展示了以大模型驱动的辅导方案在提升和个性化理工科教育中的潜力。如有合作或测试兴趣，请联系Pu Tian ([email protected]) 或 Yalong Wu ([email protected])。
原文摘要 · Abstract (English)
High enrollment in STEM-related degree programs has created increasing demand for scalable tutoring support, as universities experience a shortage of qualified instructors and teaching assistants (TAs). To address this challenge, LeafTutor, an AI tutoring agent powered by large language models (LLMs), was developed to provide step-by-step guidance for students. LeafTutor was evaluated through real programming assignments. The results indicate that the system can deliver step-by-step programming guidance comparable to human tutors. This work demonstrates the potential of LLM-driven tutoring solutions to enhance and personalize learning in STEM education. If any reader is interested in collaboration with our team to improve or test LeafTutor, please contact Pu Tian ([email protected]) or Yalong Wu ([email protected]).
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。