Artificial Intelligence in language instruction: Impact on English learning achievement and L2 motivational self-system

This mixed-methods study investigates the impact of Artificial Intelligence (AI)-mediated language instruction on English learning achievement and the Second Language Motivational Self System (L2MSS) among English as a Foreign Language (EFL) learners, addressing the growing interest in AI-driven educational technologies and their potential to transform language instruction. It involved two intact university classes with a total of 90 students, where the experimental group received AI-mediated instruction, and the control group received traditional language instruction. Both groups were assessed using pretests and post-tests to measure English learning achievement across two abilities, including reading comprehension and writing skills, while questionnaires were used to evaluate L2MSS. Quantitative analysis revealed that the experimental group outperformed the control group in all assessed areas of English learning achievement, and they also demonstrated higher levels of second language (L2) learning motivation, suggesting that AI-mediated instruction has a positive effect on both English learning achievement and L2MSS. Furthermore, qualitative insights from semi-structured interviews with nine students from the experimental group highlighted the transformative effects of the AI platform, which enhanced student engagement and offered personalized learning experiences, thereby boosting motivation and fostering more effective second language learning. The results indicate that AI-mediated language instruction has the potential to revolutionize language learning by improving outcomes and increasing learner motivation, underscoring the significant positive impact of AI-driven educational technologies in language education. This study contributes to evidence-based language pedagogy by providing valuable insights for educators and researchers interested in integrating AI-powered platforms into language classrooms.

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Publication Details

Journal
Proceedings of the International CALL Research Conference
Published
2024-09-23
DOI
https://doi.org/10.29140/9780648184485-48
Citations
4
Primary Topic
Psychology of Development and Education
Type
article
Field-Weighted Citation Impact
3.16
Controls
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article

Artificial Intelligence in language instruction: Impact on English learning achievement and L2 motivational self-system

Zhang Yifan
4 citations
Proceedings of the International CALL Research Conference
Psychology of Development and Education
3.16
article

Artificial Intelligence in language instruction: Impact on English learning achievement and L2 motivational self-system

Zhang Yifan
article en
4 citations

Abstract

This mixed-methods study investigates the impact of Artificial Intelligence (AI)-mediated language instruction on English learning achievement and the Second Language Motivational Self System (L2MSS) among English as a Foreign Language (EFL) learners, addressing the growing interest in AI-driven educational technologies and their potential to transform language instruction. It involved two intact university classes with a total of 90 students, where the experimental group received AI-mediated instruction, and the control group received traditional language instruction. Both groups were assessed using pretests and post-tests to measure English learning achievement across two abilities, including reading comprehension and writing skills, while questionnaires were used to evaluate L2MSS. Quantitative analysis revealed that the experimental group outperformed the control group in all assessed areas of English learning achievement, and they also demonstrated higher levels of second language (L2) learning motivation, suggesting that AI-mediated instruction has a positive effect on both English learning achievement and L2MSS. Furthermore, qualitative insights from semi-structured interviews with nine students from the experimental group highlighted the transformative effects of the AI platform, which enhanced student engagement and offered personalized learning experiences, thereby boosting motivation and fostering more effective second language learning. The results indicate that AI-mediated language instruction has the potential to revolutionize language learning by improving outcomes and increasing learner motivation, underscoring the significant positive impact of AI-driven educational technologies in language education. This study contributes to evidence-based language pedagogy by providing valuable insights for educators and researchers interested in integrating AI-powered platforms into language classrooms.

Proceedings of the International CALL Research ConferenceVol. 2024
University of Malaya (MY)
Quality Education
Openalex Percentile: Top 8%
Psychology of Development and Education
3.16
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Artificial Intelligence in language instruction: Impact on English learning achievement and L2 motivational self-system — Zhang Yifan · Proceedings of the International CALL Research Conference (2024) | TGRS Research Map | TGRS