A COMPARATIVE STUDY OF TRADITIONAL AND AI SUPPORTED TEACHING METHODS, ENHANCING LANGUAGE LEARNING AND TEACHING THROUGH ARTIFICIAL INTELLIGENCE IN PAKISTANI UNIVERSITIES
Keywords:
AI in Education, Language Teaching Methods, Personalized Learning, AI-driven Language Tools, Traditional and AI-assisted Learning, Student Engagement and MotivationAbstract
This study examines the role of Artificial Intelligence (AI) in language teaching compared to traditional methods. It highlights the limitations of conventional approaches, such as one-size-fits-all instruction and limited engagement, and explores how AI tools like Chatgpt, Duolingo, and Grammarly address these gaps through personalized learning paths, real-time feedback, and interactive content. The research employs a comparative design, collecting data from diverse age groups and educational levels to assess AI’s impact on motivation, engagement, and skill acquisition. The data for this study is collected from the universities of Pakistan. Findings reveal that AI-driven platforms significantly enhance language learning by offering flexible and tailored experiences, though some learners still value the personal touch of traditional teaching methods. The study underscores the importance of integrating AI tools with conventional approaches to create a balanced, effective learning environment.
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Loewen, S., Sato, M., & Suzuki, Y. (2019). The effect of technology on language learning and teaching: A comparison of traditional and AI-based methods. *Language Learning & Technology, 23*(2), 24-38.
https://doi.org/10.1016/j.langlearn.2019.05.001
Tavakol, M., Rahimi, M., & Ranjbar, S. (2021). Application of artificial intelligence in second language learning: A case study of speech recognition software. *Journal of
Educational Technology Systems, 49*(3), 267-285. https://doi.org/10.1177/0047239520963419
Cai, L., & Lee, K. (2021). Exploring the impact of AI-driven grammar correction tools in ESL writing classrooms. *Computers & Education, 174*, 104295.
https://doi.org/10.1016/j.compedu.2021.104295
Kukulska-Hulme, A. (2020). Mobile-assisted language learning and the role of AI:
Trends and future directions. *ReCALL, 32*(2), 200-217. https://doi.org/10.1017/S095834402000017X
Pérez-Paredes, P., & Alcalde, D. (2020). Artificial intelligence for second language teaching: Pedagogical and ethical considerations. *Language Learning & Technology, 24*(2), 1-15. https://doi.org/10.2139/ssrn.3596801
Wang, F., & Heffernan, N. T. (2020). A survey of AI-powered educational tools in language learning. *International Journal of Artificial Intelligence in Education, 30*(3), 345-368. https://doi.org/10.1007/s40593-020-00212-9
Shin, D., & Park, S. (2021). Artificial Intelligence in language teaching: A systematic review of applications in foreign language classrooms. *Educational Technology
Research and Development, 69*(3), 983-1007. https://doi.org/10.1007/s11423-02109985-5
Huang, Y., & Chang, C. (2020). The impact of AI in language learning: A framework for future research. *Computers in Human Behavior, 109*, 106370. https://doi.org/10.1016/j.chb.2020.106370
Zhao, Y., & Li, Y. (2020). AI-powered language learning tools and their pedagogical implications. *Journal of Educational Computing Research, 57*(7), 1600-1622.
https://doi.org/10.1177/0735633120938614
Snyder, B., & Li, S. (2020). The rise of AI in educational settings: Implications for language teaching and learning. *Educational Review, 72*(4), 522-536.
https://doi.org/10.1080/00131911.2020.1811030
Richards, J. C., & Rodgers, T. S. (2014). Approaches and methods in language teaching (3rd ed.). Cambridge University Press.
Lu, X., Xu, F., & Han, B. (2022). Artificial Intelligence in Language Learning:
Enhancing Personalized Education. Journal of Educational Technology & Society, 25(1), 37-50.
Aker, R. S., Inventado, P. S., & Corbett, A. T. (2019). The scope of artificial intelligence in education: Applications, challenges, and future directions. Computers in Education, 137, 15-32. https://doi.org/10.1016/j.compedu.2019.04.005
Lu, X., Li, J., & Wang, Y. (2022). Adaptive learning systems in language education: A real-time approach. Educational Technology Research and Development, 70(3), 1025–1043. https://doi.org/10.
Nassaji, H. (2020). Good language learners and AI: The role of immersive interactive tools. Language Teaching Research, 24(4), 471–487. https://doi.org/10.
Nguyen, T., & Pham, L. (2022). Impact of AI-powered tools on ESL learning in higher education Vietnam.
Ouyang, Z., Jiang, Y., & Liu, H. (2024). The effects of Duolingo, an AI-integrated technology, on EFL learners’ willingness to communicate and engagement in online classes. The International Review of Research in Open and Distributed Learning, 25(3), 97–115. https://doi.org/10.
Pandazis, N. (2025). Mobile language app learners’ self-efficacy increases after using generative AI. Frontiers in Education. https://doi.org/10.
Promova. (n.d.). Platform details including AI tools for pronunciation recognition. Retrieved from https://www.promova.com
Reuters. (2025, March 10). Duolingo raises 2025 revenue forecast as AI tools boost user engagement. Reuters. https://www.reuters.com
Taj, S., & Khan, M. A. (2024). Comparing Grammarly and ChatGPT for automated writing evaluation of ESL learners. Bahria University Journal of Humanities and Social Sciences, 7(2), 63–90.
Tafazoli, D. (2023). Critical appraisal of artificial intelligence-mediated communication. arXiv preprint.
Times of India. (2025, April 2). Generative AI gains ground in higher education: Study. Times of India. https://timesofindia.indiatimes.com
Financial Times. (2025, February 14). Letter: In age of AI, language skills can make or break careers. Financial Times. https://www.ft.com
Wired. (2025, January 30). Before going to Tokyo, I tried learning Japanese with ChatGPT. Wired.
Axios. (2024, September 18). Teachers vs. tutorbots. Axios. https://www.axios.com
Yan, L., Sha, L., Zhang, Q., & Chen, X. (2023). Practical and ethical challenges of large language models in education: A systematic scoping review.
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Copyright (c) 2025 Athar Abbas , Iqra Fatima , Syeda Smavia (Author)
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