AI-Assisted Vocabulary Feedback and Learner Comprehension in EFL Classrooms
Abstract
Recent advances in artificial intelligence (AI) have enabled rapid, individualized feedback and the automated generation of contextualized practice materials. These developments create new opportunities for enhancing vocabulary instruction in English as a Foreign Language (EFL) classrooms. This paper synthesizes recent research and technical discussions on AI-assisted vocabulary learning, with particular attention to comprehension, retention, and pedagogical implementation. Findings show that AI systems can increase practice frequency, generate contextual examples for spaced repetition, and provide immediate corrective feedback—benefits that are most effective when complemented by teacher guidance to safeguard accuracy and clarity. Practical recommendations for classroom use are also provided.
Keyword
References
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This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). You are free to share and adapt this work for any purpose, including commercially, provided you give appropriate credit to the original author(s) and source, provide a link to the license, and indicate if changes were made.
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