Optimizing Code-Switching in Conversational Tutoring Systems: A Pedagogical Framework and Evaluation
Abstract
Large language models demonstrate remarkable proficiency in various tasks across multiple languages. However, their potential in code-switching remains underexplored, particularly in cultural and educational contexts. Code-switching or translanguaging plays a crucial role in bilingual education, facilitating comprehension and engagement among students with varied linguistic proficiencies. In this work, we present a pedagogy-inspired framework that introduces traditional classroom practices of code-switching to intelligent tutoring systems. Specifically, we develop fine-grained instructional strategies tailored to multilingual and educational needs. We conduct experiments involving both LLM-based evaluation and expert analysis to assess the effectiveness of translanguaging in tutoring dialogues. Our experimental results indicate that strategic code-switching can significantly enhance the learning experience. This work not only advances dialogic tutors in language learning, but also extends LLMs to better accommodate multilingual interaction.- Anthology ID:
- 2024.sigdial-1.43
- 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:
- 500–515
- Language:
- URL:
- https://aclanthology.org/2024.sigdial-1.43
- DOI:
- 10.18653/v1/2024.sigdial-1.43
- Cite (ACL):
- Zhengyuan Liu, Stella Xin Yin, and Nancy Chen. 2024. Optimizing Code-Switching in Conversational Tutoring Systems: A Pedagogical Framework and Evaluation. In Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 500–515, Kyoto, Japan. Association for Computational Linguistics.
- Cite (Informal):
- Optimizing Code-Switching in Conversational Tutoring Systems: A Pedagogical Framework and Evaluation (Liu et al., SIGDIAL 2024)
- PDF:
- https://preview.aclanthology.org/dois-2013-emnlp/2024.sigdial-1.43.pdf