ArticleFrontiers in psychology2023
Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning.
Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.
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Who cites it
37 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- The positive psychology of AI: a systematic review of generative AI's impact on EFL learners' motivation, anxiety, and well-being in higher education.Frontiers in psychology · 2026Pooled it
- Effects of generative artificial intelligence on students' learning motivation: evidence from a meta-analysis.Frontiers in psychology · 2026Pooled it
- A bibliometric and content analysis of strategy-based instruction and self-regulated learning in second or foreign language teaching from 1994 to 2024.Frontiers in psychology · 2025Pooled it
- The Impact of Pedagogical Agents on Second Language Acquisition Outcomes: A Meta-Analysis Guided by Social Agency Theory.Behavioral sciences (Basel, Switzerland) · 2026Article
- The Effects of Immediate Versus Delayed Timing of AI Support on EFL Learners' Reading Comprehension Performance: An Experimental Study.Journal of Intelligence · 2026Article
- Modelling Divergent Thinking as a Mediator Between Artificial Intelligence Cognitive Stimulation and EFL Learners' Cognitive Creativity.Journal of Intelligence · 2026Article
- Hope and fear in AI-based language teaching: opportunities, challenges, and emotions.BMC psychology · 2026Article
- The Impact of AI-Assisted Learning on the Agency of Foreign Language Learners: A Meta-Analysis.Behavioral sciences (Basel, Switzerland) · 2026Review
- AI literacy and psychosocial factors shaping Chinese university students' attitudes and behavioral intentions toward generative AI use.BMC psychology · 2026Article
- The Impact of AI on Learners' Self-Efficacy: A Meta-Analysis.Behavioral sciences (Basel, Switzerland) · 2026Review
- Multidimensional determinants of generative AI acceptance in foreign language education.Scientific reports · 2026Article
- Enhancing creative writing through AI-powered co-creation with cognitive and emotional outcomes.Scientific reports · 2026Article
- How generative AI enhances self-regulated learning in EFL learners: a chain mediation model of "intention to use" and "learning engagement".Frontiers in psychology · 2026Article
- Article
- AI expectation violations and learner engagement in EFL contexts: a cognitive-affective recovery model.Frontiers in psychology · 2026Article
- Profiles and transitions of psychological adaptation in AI-assisted Japanese language learning.Frontiers in psychology · 2026Article
- AIGC affordance and student self-regulation in private undergraduate education: a serial mediation model of self-efficacy and learning motivation.Frontiers in psychology · 2026Article
- Empowerment over enforcement: unpacking the psychological drivers of AI-assisted deep revision in EFL writing.Frontiers in psychology · 2026Article
- Psychological mechanisms of AI integration in ESL teaching: teacher self-efficacy and classroom practice in Ghanaian senior high schools.Frontiers in psychology · 2026Article
- Fostering engagement in the digital age: the mediating role of self-efficacy and self-regulation between enjoyment and learner engagement in AI-assisted EFL writing.Frontiers in psychology · 2026Article
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Abstract
Introduction: This mixed methods study examines the effects of AI-mediated language instruction on English learning achievement, L2 motivation, and self-regulated learning among English as a Foreign Language (EFL) learners. It addresses the increasing interest in AI-driven educational technologies and their potential to revolutionize language instruction. Methods: Two intact classes, consisting of a total of 60 university students, participated in this study. The experimental group received AI-mediated instruction, while the control group received traditional language instruction. Pre-tests and post-tests were administered to evaluate English learning achievement across various domains, including grammar, vocabulary, reading comprehension, and writing skills. Additionally, self-report questionnaires were employed to assess L2 motivation and self-regulated learning. Results: Quantitative analysis revealed that the experimental group achieved significantly higher English learning outcomes in all assessed areas compared to the control group. Furthermore, they exhibited greater L2 motivation and more extensive utilization of self-regulated learning strategies. These results suggest that AI-mediated instruction positively impacts English learning achievement, L2 motivation, and self-regulated learning. Discussion: Qualitative analysis of semi-structured interviews with 14 students from the experimental group shed light on the transformative effects of the AI platform. It was found to enhance engagement and offer personalized learning experiences, ultimately boosting motivation and fostering self-regulated learning. These findings emphasize the potential of AI-mediated language instruction to improve language learning outcomes, motivate learners, and promote autonomy. Conclusion: This study contributes to evidence-based language pedagogy, offering valuable insights to educators and researchers interested in incorporating AI-powered platforms into language classrooms. The results support the notion that AI-mediated language instruction holds promise in revolutionizing language learning, and it highlights the positive impact of AI-driven educational technologies in the realm of language education.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.