ARTIFICIAL INTELLIGENCE–BASED PERSONALIZED LEARNING AS A TOOL FOR ENHANCING INTRINSIC MOTIVATION IN ENGLISH LANGUAGE TEACHING

Authors

  • Sitora Toshmatova Senior Lecturer at Alfraganus University

Keywords:

artificial intelligence, intrinsic motivation, personalized learning, English language teaching, Self-Determination Theory, learner autonomy, adaptive learning systems.

Abstract

This article explores the role of artificial intelligence (AI)–based personalized learning in enhancing intrinsic motivation in English language teaching. Drawing upon Self-Determination Theory and contemporary educational technology frameworks, the study investigates how adaptive AI systems influence learners’ autonomy, competence, and engagement. The research follows the IMRAD structure and presents theoretical analysis alongside experimental findings obtained from A2–B1 level learners. The results indicate that AI-supported personalized instruction significantly increases students’ intrinsic motivation and academic performance. The study contributes to the integration of motivational pedagogy and artificial intelligence in modern language education.

References

Brown, H. D. (2007). Principles of Language Learning and Teaching. Pearson, p. 168.

Deci, E. L., & Ryan, R. M. (2000). Self-Determination Theory and the Facilitation of Intrinsic Motivation. American Psychologist, 55(1), p. 68.

Dörnyei, Z. (2001). Motivational Strategies in the Language Classroom. Cambridge University Press, p. 28.

Gardner, R. C. (1985). Social Psychology and Second Language Learning. Edward Arnold, p. 50.

Hattie, J. (2009). Visible Learning. Routledge, p. 173.

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education. Center for Curriculum Redesign, p. 17.

Keller, J. M. (2010). Motivational Design for Learning and Performance. Springer, p. 45.

Luckin, R. (2018). Machine Learning and Human Intelligence. UCL IOE Press, p. 74.

Mayer, R. E. (2014). The Cambridge Handbook of Multimedia Learning. Cambridge University Press, p. 312.

Schunk, D. H. (2012). Learning Theories: An Educational Perspective. Pearson, p. 384.

Downloads

Published

2026-02-22

How to Cite

Sitora Toshmatova. (2026). ARTIFICIAL INTELLIGENCE–BASED PERSONALIZED LEARNING AS A TOOL FOR ENHANCING INTRINSIC MOTIVATION IN ENGLISH LANGUAGE TEACHING. Ethiopian International Journal of Multidisciplinary Research, 13(2), 1208–1210. Retrieved from https://eijmr.org/index.php/eijmr/article/view/5266

Issue

Vol. 13 No. 2 (2026): Ethiopian International Journal of Multidisciplinary Research

Section

Articles