课程驱动的 EduBot：一个通过合成对话数据开发语言学习聊天机器人的框架
Curriculum-Driven Edubot: A Framework for Developing Language Learning Chatbots Through Synthesizing Conversational Data
AI总结：
本文提出 Curriculum-Driven EduBot 框架，从教材提取主题并用 LLM 合成对话、微调开源模型，实验表明其在课程引导和适配英语水平方面优于 ChatGPT。
摘要：
聊天机器人已在教育环境中普及，正在革新学生与学习材料互动以及教师教学的方式。我们提出 Curriculum-Driven EduBot，这是一个用于开发聊天机器人的框架，它将聊天机器人的交互特性与英语教材的系统化材料相结合，以帮助学生提升会话技能。我们首先从教材中提取相关主题，并使用大型语言模型生成与这些主题相关的对话。随后，我们利用生成的对话数据对一个开源模型进行微调，以创建课程驱动的聊天机器人。用户研究表明，在引导基于课程的对话以及调整对话以适应用户英语水平方面，EduBot 的表现优于 ChatGPT。通过将传统教材方法与会话式 AI 相结合，我们的方法为学习者提供了一种与其课程保持一致、并可提供用户定制化对话练习的交互式工具。这促进了有意义的学生—机器人对话，并在课程的教学框架内丰富了整体学习体验。
英文摘要：
Chatbots have become popular in educational settings, revolutionizing how students interact with material and how teachers teach. We present Curriculum-Driven EduBot, a framework for developing a chatbot that combines the interactive features of chatbots with the systematic material of English textbooks to assist students in enhancing their conversational skills. We begin by extracting pertinent topics from textbooks and using large language models to generate dialogues related to these topics. We then fine-tune an open-source model using our generated conversational data to create our curriculum-driven chatbot. User studies demonstrate that EduBot outperforms ChatGPT in leading curriculum-based dialogues and adapting its dialogue to match the user's English proficiency level. By combining traditional textbook methodologies with conversational AI, our approach offers learners an interactive tool that aligns with their curriculum and provides user-tailored conversation practice. This facilitates meaningful student-bot dialogues and enriches the overall learning experience within the curriculum's pedagogical framework.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
