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Research Article

Exploring generative AI in foreign language education: Insights from a student survey

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  • @ARTICLE{10.4108/eetel.9716,
        author={Kristine Bundgaard and Anders Kalsgaard M\`{u}ller},
        title={Exploring generative AI in foreign language education: Insights from a student survey},
        journal={EAI Endorsed Transactions on e-Learning},
        volume={11},
        number={1},
        publisher={EAI},
        journal_a={EL},
        year={2025},
        month={7},
        keywords={Generative AI, foreign language education, higher education},
        doi={10.4108/eetel.9716}
    }
    
  • Kristine Bundgaard
    Anders Kalsgaard Møller
    Year: 2025
    Exploring generative AI in foreign language education: Insights from a student survey
    EL
    EAI
    DOI: 10.4108/eetel.9716
Kristine Bundgaard1,*, Anders Kalsgaard Møller1
  • 1: Aalborg University
*Contact email: kbundgaard@ikl.aau.dk

Abstract

INTRODUCTION: Generative artificial intelligence (AI) has implications for foreign language education, necessitating careful consideration of how the technology should be addressed. This should be based on the perspectives of different stakeholders, not least the students. OBJECTIVES: The paper explores foreign language students’ use of and perspectives on generative AI in foreign language education. METHODS: The paper employs a survey design and analyses responses from 106 students collected over a three-year period. RESULTS: The study documents increasing, frequent and varied use of generative AI. The students’ evaluation of AI output quality has grown more moderate over the years. The study suggests benefits may arise from even limited integration of the technology into language education. CONCLUSION: The study has highlighted a need for integrating generative AI into foreign language education. We need to continue the dialogue with students to inform future pedagogical choices.

Keywords
Generative AI, foreign language education, higher education
Received
2024-11-08
Accepted
2025-07-09
Published
2025-07-31
Publisher
EAI
http://dx.doi.org/10.4108/eetel.9716

Copyright © 2025 K. Bundgaard et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NCSA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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