Curriculum-Driven Edubot: A Framework for Developing Language Learning Chatbots Through Synthesizing Conversational Data

Project Overview

The document highlights the innovative use of generative AI in education through the Curriculum-Driven EduBot framework, which integrates chatbot interactivity with structured English language curriculum content to enhance learners' conversational skills. This framework leverages large language models to generate dialogues aligned with textbook topics, providing personalized language practice tailored to individual students' proficiency levels. User studies demonstrate that the EduBot significantly surpasses ChatGPT in fostering effective conversations, resulting in improved learning outcomes for students. The findings underscore the potential of generative AI to transform language learning by offering customized, interactive experiences that adapt to the unique needs of learners, thereby facilitating better engagement and mastery of conversational skills. Overall, the document illustrates that generative AI, through applications like the EduBot, can play a pivotal role in enhancing educational practices and outcomes in language acquisition.

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Authors: Yu Li, Shang Qu, Jili Shen, Shangchao Min, Zhou Yu

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