In recent years, the use of Artificial Intelligence (AI) in education has had a significant impact on foreign language learning, particularly for English as a Foreign Language (EFL) students in higher education. This paper examines how AI technologies are transforming language proficiency development in Azerbaijani and Indian universities. Utilizing a mixed-methods approach, the study analyses a simulated dataset that includes surveys and interviews with undergraduate and postgraduate EFL learners and educators from selected Azerbaijani and Indian institutions. The findings indicate that AI-driven tools, such as language learning applications, intelligent tutoring systems, speech recognition software,and chatbots, positively influence learner autonomy, vocabulary development, and pronunciation skills. However, the research also highlights challenges such as issues with technology access, disparities in digital literacy, and resistance to new teaching methods. The study is grounded in Vygotsky's Sociocultural Theory and Technological Pedagogical Content Knowledge (TPACK). Results suggest that AI not only improves language skills but also facilitates personalized and adaptive learning experiences, positioning it as a valuable resource in EFL education. The paper concludes with recommendations for AI-integrated strategies aimed at language curriculum developers, educators, and policymakers to enhance proficiency outcomes. This research contributes to the growing conversation about AI in language education and emphasizes the need for ethical and context-aware implementation within India's diverse educational landscape.
Safarli et al. (Thu,) studied this question.
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