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Arab World English Journal (AWEJ) Special Issue on Artificial Intelligence, No. 3. 2026. Pp.328-345
Department of Foreign Languages
Jazan University, Jazan, Kingdom of Saudi Arabia
In order to address enduring issues like uneven instructional quality, restricted access to personalized learning, and teacher shortages in English education, this study investigates how well ChatGPT-enhanced mobile learning improves English language proficiency among 150 Indian undergraduate students. The study uses a mixed-methods design that combines qualitative information from semi-structured interviews with quantitative analysis of pre- and post-test scores. After the intervention, paired-samples t-test results showed statistically significant gains in all core language skills. Thematic analysis also revealed worries about an excessive dependence on AI tools, along with perceived advantages like improved vocabulary, comprehension, and learner confidence. The results support ChatGPT’s potential as a flexible and user-friendly language learning tool, but they also emphasize the necessity of pedagogical approaches that foster learner autonomy and critical engagement. This study offers implications for educators, curriculum designers, and policymakers looking for scalable and equitable learning solutions by placing AI-assisted mobile learning within the Indian higher education context. It also provides empirical evidence to debates on the responsible integration of AI in language education.
Rana, M.S. (2026).Interactive Mobile Learning with AI: The Effectiveness of ChatGPT for English Proficiency in India. Arab World English Journal, Special Issue on Artificial Intelligence, (3):328-345
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Dr. Md Sohel Rana is an Assistant Professor in the Department of Foreign Languages at Jazan University, Saudi Arabia, with 14 years of teaching experience. He holds BA and MA degrees in Linguistics and a PhD in Applied Linguistics from Aligarh Muslim University and has authored four books, along with more than 18 research papers published nationally and internationally. His academic contributions have been showcased at major conferences in Dubai, Bangkok, Kuala Lumpur, Osaka, and Moscow, including the IAFOR and ICOSAL platforms. ORCID ID: https://orcid.org/0009-0006-1471-3214