Prompting ChatGPT for Chinese Learning as L2: A CEFR and EBCL Level Study
Miao Lin-Zucker, Jo\"el Bellassen, Jean-Daniel Zucker

TL;DR
This study investigates how to effectively prompt ChatGPT to serve as a personalized Chinese language tutor for beginner levels, focusing on aligning responses with CEFR and EBCL standards to improve language exposure and practice.
Contribution
It introduces specific prompting strategies to tailor ChatGPT's responses for Chinese learners at A1 and A1+ levels, enhancing compliance with language level constraints.
Findings
Prompts incorporating CEFR and EBCL character lists improve model compliance.
Properly designed prompts increase language exposure and interaction.
LLMs can be guided to better support Chinese language learning at beginner levels.
Abstract
The use of chatbots in language learning has evolved significantly since the 1960s, becoming more sophisticated platforms as generative AI emerged. These tools now simulate natural conversations, adapting to individual learners' needs, including those studying Chinese. Our study explores how learners can use specific prompts to engage Large Language Models (LLM) as personalized chatbots, aiming to target their language level based on the Common European Framework of Reference for Languages (CEFR) and the European Benchmarking Chinese Language (EBCL) project. Focusing on A1, A1+ and A2 levels, we examine the teaching of Chinese, which presents unique challenges due to its logographic writing system. Our goal is to develop prompts that integrate oral and written skills, using high-frequency character lists and controlling oral lexical productions. These tools, powered by generative AI,…
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · Text Readability and Simplification · Online Learning and Analytics
