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

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


Abstract
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 LLM 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.
Anthology ID:
2024.sigdial-1.35
Volume:
Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Month:
September
Year:
2024
Address:
Kyoto, Japan
Editors:
Tatsuya Kawahara, Vera Demberg, Stefan Ultes, Koji Inoue, Shikib Mehri, David Howcroft, Kazunori Komatani
Venue:
SIGDIAL
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
400–419
Language:
URL:
https://aclanthology.org/2024.sigdial-1.35
DOI:
Bibkey:
Cite (ACL):
Yu Li, Shang Qu, Jili Shen, Shangchao Min, and Zhou Yu. 2024. Curriculum-Driven Edubot: A Framework for Developing Language Learning Chatbots through Synthesizing Conversational Data. In Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 400–419, Kyoto, Japan. Association for Computational Linguistics.
Cite (Informal):
Curriculum-Driven Edubot: A Framework for Developing Language Learning Chatbots through Synthesizing Conversational Data (Li et al., SIGDIAL 2024)
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PDF:
https://aclanthology.org/2024.sigdial-1.35.pdf