打造适配德国法规的Python编程智能导师系统
SCRIPT: Implementing an Intelligent Tutoring System for Programming in a German University Context
- 构建可插拔提示机制的Python编程导师系统
- 支持教学与研究双用途，兼容欧盟数据与AI法规
- 适合教育科技、AI伦理及编程教学研究者
编程教育中实践与大量练习至关重要。智能辅导系统（ITS）可在缺乏人类导师时为学生提供个性化提示。然而，现有编程ITS多不支持Python，主要针对入门级课程，且未结合生成式模型最新进展。本文旨在建立一个高度可适应的Python编程智能辅导系统，兼具教学与研究功能，支持接入各类提示机制（如大语言模型），并符合德国严苛的监管环境——包括欧盟数据保护条例、欧洲人工智能法案及德国研究基金会伦理框架。本文介绍当前系统状态、未来发展方向，并探讨系统优化中的挑战与机遇。
原文摘要 · Abstract (English)
Practice and extensive exercises are essential in programming education. Intelligent tutoring systems (ITSs) are a viable option to provide individualized hints and advice to programming students even when human tutors are not available. However, prior ITS for programming rarely support the Python programming language, mostly focus on introductory programming, and rarely take recent developments in generative models into account. We aim to establish a novel ITS for Python programming that is highly adaptable, serves both as a teaching and research platform, provides interfaces to plug in hint mechanisms (e.g.\ via large language models), and works inside the particularly challenging regulatory environment of Germany, that is, conforming to the European data protection regulation, the European AI act, and ethical framework of the German Research Foundation. In this paper, we present the description of the current state of the ITS along with future development directions, as well as discuss the challenges and opportunities for improving the system.
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。