<![CDATA[Background: Although the previous data indicated that students have met the expected standard, further engagement and literacy skills still need to be improved through innovative learning media. Few studies have explored the feasibility and acceptance of M-Reads applications. Hence, this study seeks to fill this gap by creating and testing the M-Reads AI-based learning app. Aims: This research aimed to design and develop applications within the scope of Mobile Assisted Language Learning (MALL) with research targets in the English department in the Reading for General Information (RGI) course in semester 2. Methods: This research used the Research and Development (R&D) method from Borg and Gall (2007). The steps consisted of needs assessment, plan, early product development, field test, product revision, operational test, and implementation. The data were collected quantitatively using questionnaires from 56 RGI English students and supported by qualitative interviews. The validation instruments were reviewed for content validity and demonstrated acceptable reliability. Data analysis was performed using quantitative and thematic analysis. Results: The research results showed that media experts, material experts, and 56 students have provided responses and input. In addition, M-Reads was supported in terms of an attractive appearance, updated material, reading tips, quizzes, good application performance, and features that helped students with their reading skills. This research concluded that the percentage of validity level criteria is 85%, which indicated that M-Reads is “valid” and provided several important recommendations for RGI courses to integrate reading learning with M-Reads. Implications: These findings were expected to contribute to the RGI course and spur further research in this field.]]>
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