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 then using large language models to generate dialogues related to these topics. We then fine-tune an open-source LLM using our generated conversational data to create our curriculum-driven chatbot. User studies demonstrate that our chatbot 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.

开发了结合了ChatGPT功能和英语教科书系统材料的Curriculum-Driven EduBot聊天机器人框架，通过提取教科书相关主题并使用大型语言模型生成相关对话，进一步使用生成的对话数据对开源LLM进行微调，以创建与用户课程相匹配的聊天机器人，用户研究表明，我们的聊天机器人在引导基于课程的对话和适应用户英语水平方面优于ChatGPT，将传统教科书方法与对话式AI相结合，提供学习者与课程相符合的互动工具，并提供用户定制的对话练习，从而促进有意义的学生-机器人对话，丰富课程教学框架下的整体学习体验。

基于课程的教育机器人：通过综合对话数据开发语言学习聊天机器人的框架