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

Education

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

Y. U. Li, S. Qu, et al.

Explore the groundbreaking Curriculum-Driven EduBot framework, developed by Y U Li, Shang Qu, Zhou Yu, Yu Li, Jili Shen, and Shangchao Min. This innovative tool utilizes large language models to enhance language learning through engaging, curriculum-aligned dialogues, surpassing ChatGPT in effective user adaptation.

00:00
00:00
Playback language: English
Abstract
This paper introduces Curriculum-Driven EduBot, a framework for developing language learning chatbots. The framework leverages large language models (LLMs) to generate dialogues based on textbook content, creating a curriculum-aligned conversational practice tool. User studies show EduBot outperforms ChatGPT in leading curriculum-based dialogues and adapting to user proficiency levels, offering a more effective and engaging learning experience.
Publisher
Not specified in the provided text
Published On
Sep 28, 2023
Authors
Y U Li, Shang Qu, Zhou Yu, Yu Li, Jili Shen, Shangchao Min
Tags
EduBot
language learning
curriculum
dialogues
chatbots
large language models
user proficiency
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny