Exploring the Impact of Artificial Intelligence on English Language Learning (ELL) among Undergraduates: An Experimental Study

Authors

  • BALAKISHAN G BEST Innovation University, Anantapur, Andhra Pradesh.
  • Dr. SALOMAN RAJU YARLAGADDA Chaitanya Bharathi Institute of Technology, Gandipet, Hyderabad – 500075.

Keywords:

Artificial Intelligence, nglish Language Learning,, E Undergraduate Students, Educational Technology, Experimental Study, Language Education, Digital Learning

Abstract

Artificial Intelligence (AI) has rapidly transformed educational practices by providing personalized learning experiences, instant feedback, adaptive assessment, and intelligent tutoring systems. In English Language Learning (ELL), AI-powered applications such as conversational chatbots, grammar checkers, automated writing evaluators, and language-learning platforms are increasingly being adopted by undergraduate students. This experimental study investigates the impact of AI-assisted learning on the English language proficiency of undergraduate learners. A quasi-experimental design involving control and experimental groups was employed over a twelve-week intervention period. The experimental group received instruction supplemented with AI-based language learning tools, while the control group followed conventional classroom practices. Data were collected through pre-tests, post-tests, questionnaires, classroom observations, and interviews. The findings indicate that AI-assisted instruction significantly enhanced students’ writing quality, vocabulary acquisition, grammatical accuracy, reading comprehension, speaking confidence, and learner autonomy. Students also reported increased motivation and engagement due to personalized feedback and self-paced learning opportunities. However, concerns related to overdependence on AI, digital inequality, ethical considerations, and academic integrity emerged as important challenges. The study concludes that AI should complement rather than replace traditional pedagogy and that educators should integrate AI responsibly to maximize learning outcomes.

Author Biographies

BALAKISHAN G, BEST Innovation University, Anantapur, Andhra Pradesh.

Ph.D. Research Scholar in English,

Dr. SALOMAN RAJU YARLAGADDA, Chaitanya Bharathi Institute of Technology, Gandipet, Hyderabad – 500075.

Research Supervisor & Assistant Professor of English Department of English,

References

1. Brown, H. D. Principles of Language Learning and Teaching. Pearson.

2. Chapelle, C. A. Computer Applications in Second Language Acquisition. Cambridge University Press.

3. Ellis, R. The Study of Second Language Acquisition. Oxford University Press.

4. Luckin, R. Machine Learning and Human Intelligence. UCL Institute of Education Press.

5. Richards, J. C., & Rodgers, T. S. Approaches and Methods in Language Teaching. Cambridge University Press.

6. Russell, S., & Norvig, P. Artificial Intelligence: A Modern Approach. Pearson.

7. UNESCO. Guidance for Generative AI in Education and Research.

8. Warschauer, M., & Healey, D. “Computers and Language Learning: An Overview.” Language Teaching.

9. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. “Systematic Review of Research on Artificial Intelligence Applications in Higher Education.” International Journal of Educational Technology in Higher Education.

10. Relevant peer-reviewed journal articles on AI-assisted language learning published in applied linguistics and educational technology journals should be consulted and formatted according to the citation style required by the target publication.

NCTELDE-2026

Published

2026-08-09

Issue

Vol. 1 No. 1 (2026): Special Issue – National Conference on Teaching English Literature in the Digital Era (NCTELDE-2026)

Section

Articles

Categories

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