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.

翻译：聊天机器人在教育领域已变得非常流行，彻底改变了学生与学习材料互动以及教师授课的方式。我们提出课程驱动的教育机器人（Curriculum-Driven EduBot），这是一个开发聊天机器人的框架，该机器人将聊天机器人的交互功能与英语教科书的系统性材料相结合，帮助学生提升对话技能。我们首先从教科书中提取相关主题，然后利用大型语言模型生成与这些主题相关的对话。接着，我们使用生成的对话数据对开源大语言模型（LLM）进行微调，从而构建出课程驱动的聊天机器人。用户研究表明，我们的聊天机器人在引导基于课程的对话以及根据用户英语水平调整对话内容方面，优于ChatGPT。通过将传统教科书方法与对话式人工智能相结合，我们的方法为学习者提供了一种与其课程相匹配的交互式工具，并提供个性化的对话练习。这促进了有意义的师生对话，并在课程的教学框架内丰富了整体学习体验。