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Ritsumeikan University
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Japanese EFL students struggle with specific grammatical structures, revealing a critical need for targeted instructional strategies that address both accuracy and idiomaticity.
High-proficiency EFL learners engage in richer dialogues with AI chatbots, while low-proficiency learners often get stuck in repetitive feedback cycles.
LLM-generated EFL exercises reveal that question type significantly influences cognitive load and learning outcomes, challenging traditional CEFR assumptions.
Despite the push for open science, a comprehensive survey reveals significant gaps in the availability and use of open datasets within learning analytics research, highlighting the need for better data sharing practices.