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Evaluating AI Applications for Enhancing Listening Comprehension among EFL students in English language in Real-World Scenarios

Wafa' A. Hazaymeh, Turky Alshaikhi, Mohammad Osman Abdul Wahab and Mohamad A. Khasawneh

World Journal of English Language, 2025, vol. 15, issue 6, 209

Abstract: This paper assesses the extent to which Artificial Intelligence technologies improve listening comprehension in English among foreign language learners in Saudi Arabia. In this study, both the quantitative assessment of the changes in the listening comprehension levels of the participants as well as qualitative feedback that focused on the use of AI applications by the learners were collected. It was established that listening comprehension improved, particularly in the contextualized area, and that learner engagement and motivation also improved. At the same time, difficulties connected with accent recognition, technical problems, and the lack of depth in the comments were also discussed. This is the main lesson from this study about AI, in applications, much as the tools are useful and provide great benefits, they should be used as a supplement rather than a substitute to traditional methods. Further works should be aimed at enhancing the AI in applications to various linguistic contexts and enhancing the feedback.

Date: 2025
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