Generative AI-assisted, evidence-informed use of L1 in L2 classrooms

Author:

Moorhouse Benjamin LukeORCID,Wan YuweiORCID,Ho Tsz Ying,Lin Angel M YORCID

Abstract

Abstract Purposeful and strategic use of L1 can help with L2 learning. However, in many contexts, monolingual immersion approaches dominate, leading language teachers to refrain from using L1. It can also mean that teachers are not professionally prepared to implement evidence-informed uses of L1. In this article, we share the findings of an intervention study that aimed to raise preservice English language teachers’ awareness of purposeful L1 use while co-exploring ways generative artificial intelligence (AI) tools (e.g. ChatGPT) can aid teachers’ knowledge development and strategic utilization of L1 in L2 classrooms. Data were collected from fifty-six preservice language teachers in Hong Kong through a pre- and post-intervention mixed-method survey and follow-up group interviews. The findings show that explicit instruction on the use of L1 in L2 classrooms can increase preservice teachers’ intention to use L1 as well as their knowledge about the evidence-informed use of L1 and the ways in which generative AI tools can assist their implementation of L1.

Publisher

Oxford University Press (OUP)

Reference15 articles.

1. ‘The Effects of Artificial Intelligence Applications in Educational Settings: Challenges and Strategies.’;Ali;Technological Forecasting and Social Change,2024

2. ‘Using Thematic Analysis in Psychology.’;Braun;Qualitative Research in Osychology,2006

3. ‘The Impact of Generative AI (GenAI) on Practices, Policies and Research Direction in Education: A Case of CHATGPT and Midjourney.’;Chiu;Interactive Learning Environments,2023

4. ‘Rethinking Monolingual Instructional Strategies in Multilingual Classrooms.’;Cummins;Canadian Journal of Applied Linguistics/Revue Canadienne de Linguistique Appliquée,2007

5. ‘The Use of the Mother Tongue in the Classroom.’;Harbord;ELT Journal,1992

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