Exploring the Role of Artificial Intelligence for Revolutionizing English Language Learning of University-Level Students
This study explores the transformative potential of Artificial Intelligence (AI) in enhancing English language learning among university-level students. As AI technologies continue to advance, their integration into language education presents new opportunities for personalized, scalable, and interactive learning experiences. This research aims to evaluate how AI can reshape traditional English language pedagogy by examining its impact on core linguistic competencies such as vocabulary acquisition, pronunciation, and speaking confidence. A quantitative survey involving over 100 university students was conducted to assess perceptions and outcomes associated with AI-assisted learning tools. The results indicate a generally positive attitude toward AI applications, with participants reporting noticeable improvements in language proficiency. Nonetheless, the study also highlights key challenges, including limited access to AI resources and a lack of familiarity with available tools among both students and instructors. These barriers hinder the effective adoption of AI in language education. The findings underscore the importance of targeted training, infrastructure development, and strategic integration of AI within blended learning environments. This research contributes to the growing body of literature on educational technology by offering empirical insights into the benefits and limitations of AI in second language acquisition at the tertiary level.
Authors
- Zeeshan Ahmed (ORCID: https://orcid.org/0000-0002-7065-1699)
- Uzma Qazi
- M. A. Raza
Institutions
- Shaheed Benazir Bhutto University (PK)
- Multimedia University (MY)
- Greenwich University (PK)
- Northern University of Malaysia (MY)
Publication Details
- Journal
- ACADEMIA International Journal for Social Sciences
- Published
- 2025-07-01
- DOI
- https://doi.org/10.63056/acad.004.03.0333
- Primary Topic
- Educational Technology and Pedagogy
- Type
- article
- Field-Weighted Citation Impact
- 0.00