Vol. 16, Issue 1, Jul-Dec 2023

Page: 50-68

The Effect of Using AI on Teaching Reading Comprehension to College Students

Dr. Shamma Mustafa Hameed (Ph.D)., Bahaa Mustafa Hameed (M.A)

Received Date: 2026-01-03

Accepted Date: 2026-01-21

Published Date: 2026-03-20

The research paper aims to examine the benefits AI brings in improving the reading skills of college students in Iraq; 95 learners have been invited for the study and have used a quantitative research method to evaluate the impact of AI on the participants' reading ability. The studies also reveal that a learning-enabling AI enhances the student's reading platform results through higher performance in comprehension tests than their counterparts. As a result of the dynamically developing AI tools, more appropriate and adjustable materials were used to enhance students' text recognition and comprehension. The quantitative regression analysis showed a low and insignificant correlation between the supposed acquaintance with AI and its effectiveness and utilization, as well as faith in its effectiveness. This analysis indicates that by just being familiar with the technology, one cannot adopt it efficiently. Thus, this study stresses the need to train educators and students to ensure students receive the best from AI applications in learning. Self-completion of a questionnaire among the participants also offered further views and experiences of the participants in the use of AI tools. The findings highlighted the importance of universities commencing professional development programs, which prepare teachers to facilitate the use of AI tools and support learners' engagement with them. Despite the optimism in the performance of AI to boost reading comprehension, appropriate strategies of embedding, effective training, and compliance guarantees are still required while being adopted by various education systems.

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