Enhancing EFL Learners' Coherent Expression Competence With The Help Of Artificial Intelligence

Authors

  • Eldor Erkinovich Rajabov Bukhara State Pedagogical Institute, Bukhara, Uzbekistan

DOI:

https://doi.org/10.58905/jse.v7i1.851

Keywords:

coherent expression, communicative competence, discourse competence, EFL learners, instructional model

Abstract

Improving learners' capability to express their views coherently is one of the common challenges in the classrooms of English as a Foreign Language (EFL). Even though learners often show adequate vocabulary and good knowledge in grammar, many of them face challenges when it comes to organizing ideas in a logical way and creating coherent verbal and written discourse. The current study suggests a Four-Stage AI-Supported Instructional Model which is designed to develop students' coherent expression ability through communicative and technology-assisted instruction. The methodology includes idea generation, logical planning, coherent production, and reflective revision with the pedagogical use of artificial intelligence tools. A quasi-experimental design among secondary school EFL learners was implemented to test how the proposed model could work. To evaluate students' progress, Classroom observations, speaking and writing assessment rubrics, and learner feedback were used. The results show that structured communicative activities assisted by AI-supported feedback can promote students' confidence, discourse organization, and logical sequencing of ideas. The current instructional model proposes practical implications for English language teachers looking for the ways to integrate modern educational technologies in communicative language teaching.

Downloads

Download data is not yet available.

References

Bachman, L. F. (1990). Fundamental Considerations in Language Testing. Oxford Uni-versity Press.

Canale, M., & Swain, M. (1980). Theoretical Bases of Communicative Approaches to Second Language Teaching and Testing. Applied Linguistics, 1(1), 1–47.

Halliday, M. A. K., & Hasan, R. (1976). Cohesion in English. Longman.

Harmer, J. (2015). The Practice of English Language Teaching (5th ed.). Pearson.

Hyland, K. (2019). Second Language Writing. Cambridge University Press.

Long, M. H. (1996). The Role of the Linguistic Environment in Second Language Acqui-sition. In W. Ritchie & T. Bhatia (Eds.), Handbook of Second Language Acquisition. Ac-ademic Press.

Nunan, D. (2004). Task-Based Language Teaching. Cambridge University Press.

Swain, M. (1985). Communicative Competence: Some Roles of Comprehensible Input and Comprehensible Output in Its Development. In S. Gass & C. Madden (Eds.), Input in Second Language Acquisition. Newbury House.

Vygotsky, L. S. (1978). Mind in Society. Harvard University Press.

Council of Europe. (2020). Common European Framework of Reference for Languages: Learning, Teaching, Assessment – Companion Volume. Council of Europe Publishing.

Luckin, R. (2018). Machine Learning and Human Intelligence: The Future of Education for the 21st Century. UCL IOE Press.

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic Re-view of Research on Artificial Intelligence Applications in Higher Education. Interna-tional Journal of Educational Technology in Higher Education, 16(39).

Downloads

Published

2026-08-23

How to Cite

Rajabov, E. E. (2026). Enhancing EFL Learners’ Coherent Expression Competence With The Help Of Artificial Intelligence. ournal of cience and ducation (JSE), 7(1), 2103-2110. https://doi.org/10.58905/jse.v7i1.851