用大模型打造可个性化练习的英语学习对话助手
LangLingual: A Personalised, Exercise-oriented English Language Learning Tool Leveraging Large Language Models
- 基于LangChain和大模型构建对话式学习系统
- 实时提供语法反馈并生成情境化练习题
- 适合想自主提升英语的 learners 及教师
语言教育者希望为学习者创造丰富体验，但往往受限于可提供的反馈和练习量。我们提出了 LangLingual，一个基于 LangChain 框架、由大语言模型驱动的对话代理。该系统专为提供实时语法反馈、生成情境相关语言练习题，并跟踪学习者能力发展而设计。本文详细讨论了系统的架构、实现与评估。结果表明，该系统具有良好的可用性、积极的学习成效以及令人鼓舞的学习参与度。
原文摘要 · Abstract (English)
Language educators strive to create a rich experience for learners, while they may be restricted in the extend of feedback and practice they can provide. We present the design and development of LangLingual, a conversational agent built using the LangChain framework and powered by Large Language Models. The system is specifically designed to provide real-time, grammar-focused feedback, generate context-aware language exercises and track learner proficiency over time. The paper discusses the architecture, implementation and evaluation of LangLingual in detail. The results indicate strong usability, positive learning outcomes and encouraging learner engagement.
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