arXiv cs.AI· Yiyin Shen, Xinyi Ai, Weibing Wang, Rogers Jeffrey Leo John, Meenakshi Syamkumar·· 2 天前AI 评分23
面向非英语母语学生的多源 AI 导师系统
Multi-sourced AI Tutor for Non-Native English Speaker Students
AI 导读
研究者开发了一款通用 AI 导师系统，可处理学生用外语（当前聚焦中文）提出的问题并给出双语回答，同时生成技术术语词汇表及解释。该系统采用专门的 RAG 流水线与新颖的问题提取机制，以利用多样化课程材料。基于 91 条 Piazza 帖子评测，系统正确且有效地回答了 83.52% 的问题，为 76.92% 的问题提供了高质量翻译，并为 64.47% 的问题生成了术语词汇表。
正文 · 原文
Abstract:Large language models (LLMs) are increasingly being adopted as teaching tools in computing education, particularly for developing AI tutors capable of answering student questions. With the rise in enrollment of international students in computing programs, researchers have begun to explore the difficulties that non-native English speaker (NNES) students face in computing courses due to language barriers. To aid such students, we developed a general-purpose AI tutor system that can process student questions in foreign languages (currently focused on Mandarin) and provide bilingual responses. Our system also incorporates the functionality of generating a glossary of technical terms and their explanations to enhance comprehension. Our approach utilizes a specialized Retrieval-Augmented Generation (RAG) pipeline with a novel question extraction mechanism, enabling us to effectively utilize a diverse array of course materials for answering student queries. We evaluated our AI tutor using 91 Piazza posts, demonstrating that it could answer 83.52% of the posts correctly and in a helpful manner. The tutor also provided high-quality translations for 76.92% of the questions and generated technical term glossaries for 64.47% of them. Our findings underscore the potential of multi-source RAG pipeline in enhancing AI tutor systems, offering support for non-native speakers that are challenging to provide with traditional supporting staff of a computing course.
| Subjects: | Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.22163 [cs.AI] |
| (or arXiv:2610.22163v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2610.22163 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Yiyin Shen [view email]
[v1]
Thu, 15 Oct 2026 16:26:00 UTC (32 KB)
来源：arXiv cs.AI · arxiv.org