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Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning

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 instructi…

Policy · G Space — documented gain · certified 2026-09-06 · v1 · article view · machine-readable

Current reading — gain

University EFL students receiving AI-mediated language instruction showed higher English achievement across grammar, vocabulary, reading and writing, plus increased L2 motivation and greater use of self-regulated learning strategies compared to traditional instruction.

What this doesn’t fix

Findings are based on a small sample of 60 university students in two intact classes, with qualitative insights from only 14 students in the experimental group, limiting generalizability.

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Truvace Impact Record TRV-2026-0999, v1: “Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning.” Truvace, 2026-09-06. /record/TRV-2026-0999 (accessed at citation time). sha256 6a7daad8bb5ada83

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