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Current Research Journal of Pedagogics

Peer Reviewed | Open Access | E-ISSN: 2767-3278
Published Article

Artificial Intelligence as A Pedagogical Assistant in TESOL Classrooms

Artificial Intelligence as A Pedagogical Assistant in TESOL Classrooms

  • Khomidova Gulnozakhon Qurbonali qizi
    Institute of Social and Political Sciences, Department of Uzbek and Foreign Languages, English Language Teacher, Tashkent, Uzbekistan
Artificial Intelligence language teaching AI-assisted learning

The rapid advancement of Artificial Intelligence (AI) has significantly influenced various aspects of education, including the field of Teaching English to Speakers of Other Languages (TESOL). This study explores the role of AI as a pedagogical assistant in TESOL classrooms and examines its impact on teaching and learning processes. The research aims to investigate how AI-supported tools contribute to language instruction, learner engagement, and teacher effectiveness. A mixed-methods research design was employed, involving 60 university-level English as a Foreign Language (EFL) students in Tashkent, Uzbekistan. Data were collected through questionnaires, classroom observations, and student feedback over a four-week period.

The findings indicate that AI-assisted tools such as ChatGPT, grammar-checking applications, and automated feedback systems positively influence students’ motivation, language practice, and independent learning. Participants reported increased engagement, improved writing performance, and greater access to personalized learning opportunities. Furthermore, AI technologies enabled teachers to provide more efficient feedback and classroom support. Despite these benefits, concerns regarding excessive dependence on technology, limited digital literacy, and reduced face-to-face interaction were also identified. The study concludes that AI serves most effectively as a pedagogical assistant rather than a replacement for teachers. Successful implementation requires thoughtful integration, adequate teacher training, and a balanced approach that combines technological innovation with human guidance. The findings offer practical implications for TESOL educators seeking to enhance language learning through AI-supported instruction.

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Beatty, K. (2010). Teaching and researching computer-assisted language learning (2nd ed.). Pearson Education.

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa

Chapelle, C. A. (2001). Computer applications in second language acquisition: Foundations for teaching, testing and research. Cambridge University Press.

Cohen, L., Manion, L., & Morrison, K. (2018). Research methods in education (8th ed.). Routledge.

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage Publications.

Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). Sage Publications.

Dörnyei, Z. (2007). Research methods in applied linguistics. Oxford University Press.

Dörnyei, Z., & Ushioda, E. (2011). Teaching and researching motivation (2nd ed.). Routledge.

Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11

Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). Sage Publications.

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.

Huang, X., & Li, M. (2024). Artificial intelligence in language education: Opportunities, challenges, and future directions. Educational Technology Research and Development, 72(1), 45–67.

Johnson, R. B., Onwuegbuzie, A. J., & Turner, L. A. (2007). Toward a definition of mixed methods research. Journal of Mixed Methods Research, 1(2), 112–133. https://doi.org/10.1177/1558689806298224

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeiffer, F., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274

Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal, 54(2), 537–550. https://doi.org/10.1177/00336882231162868

Luckin, R. (2022). AI for schoolteachers. Routledge.

Reinders, H., & White, C. (2016). 20 years of autonomy and technology: How far have we come and where to next? Language Learning & Technology, 20(2), 143–154.

Richards, J. C. (2015). Key issues in language teaching. Cambridge University Press.

Selwyn, N. (2016). Education and technology: Key issues and debates (2nd ed.). Bloomsbury Academic.

Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1), 15. https://doi.org/10.1186/s40561-023-00237-x

Warschauer, M., & Healey, D. (1998). Computers and language learning: An overview. Language Teaching, 31(2), 57–71. https://doi.org/10.1017/S0261444800012970

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(1), Article 39. https://doi.org/10.1186/s41239-019-0171-0