THE NEED TO USE ARTIFICIAL INTELLIGENCE TOOLS FOR DEVELOPING WRITING AND SPEAKING SKILLS IN IELTS PREPARATION
Keywords:
IELTS, writing skills, speaking skills, artificial intelligence, language assessment, feedback, English language teaching, language competence.Abstract
This article analyzes the content, structure, and assessment criteria of the IELTS
test, with particular emphasis on the competency requirements for writing and speaking
skills. The study aims to identify the opportunities and limitations of existing
methodological approaches to IELTS preparation and to provide a scientific and
methodological rationale for the use of artificial intelligence tools. The research is
theoretical and analytical in nature and employs document analysis, comparative analysis,
content analysis, and synthesis of relevant scholarly literature. The findings indicate that
the development of productive language skills is closely associated with regular practice,
individualized criterion-based feedback, and learners’ ability to recognize and correct
their own errors. Artificial intelligence can enhance this process by providing additional
practice, preliminary feedback, and individualized tasks; however, its pedagogical value
depends on teacher guidance and the critical evaluation of AI-generated results.
References
1. IELTS. IELTS Scoring in Detail: Band Scores Explained // IELTS.org. – 2026.
2. IELTS. IELTS Writing Band Descriptors. – IELTS Partners, 2023.
3. IELTS. IELTS Speaking Band Descriptors. – IELTS Partners, 2025.
4. Hattie J., Timperley H. The Power of Feedback // Review of Educational Research. – 2007. – Vol. 77, No. 1. – P.
81–112. – DOI: 10.3102/003465430298487.
5. Nicol D. J., Macfarlane-Dick D. Formative Assessment and Self-Regulated Learning: A Model and Seven Principles
of Good Feedback Practice // Studies in Higher Education. – 2006. – Vol. 31, No. 2. – P. 199–218. – DOI:
10.1080/03075070600572090.
6. Green A. Washback to Learning Outcomes: A Comparative Study of IELTS Preparation and University Pre-
Sessional Language Courses // Assessment in Education: Principles, Policy & Practice. – 2007. – Vol. 14, No. 1. – P. 75–97. –
DOI: 10.1080/09695940701272880.
7. Fleckenstein J., Liebenow L. W., Meyer J. Automated Feedback and Writing: A Multi-Level Meta-Analysis of
Effects on Students’ Performance // Frontiers in Artificial Intelligence. – 2023. – Vol. 6. – Article 1162454. – DOI:
10.3389/frai.2023.1162454.
8. Wiboolyasarin W., Wiboolyasarin K., Tiranant P., Jinowat N., Boonyakitanont P. AI-Driven Chatbots in Second
Language Education: A Systematic Review of Their Efficacy and Pedagogical Implications // Ampersand. – 2025. – Vol. 14.
– Article 100224. – DOI: 10.1016/j.amper.2025.100224.
9. Ekizer F. N. Exploring the Impact of Artificial Intelligence on English Language Teaching: A Meta-Analysis //
Acta Psychologica. – 2025. – Vol. 260. – Article 105649. – DOI: 10.1016/j.actpsy.2025.105649.
10. The Effects of AI-Assisted Feedback on Students’ Perceptions, Emotions, and Learning Outcomes in L2 Writing:
A Three-Level Meta-Analysis // System. – 2026. – Vol. 139. – Article 104018. – DOI: 10.1016/j.system.2026.104018.
11. Zawacki-Richter O., Marín V. I., Bond M., Gouverneur F. Systematic Review of Research on Artificial Intelligence
Applications in Higher Education – Where Are the Educators? // International Journal of Educational Technology in Higher
Education. – 2019. – Vol. 16. – Article 39. – DOI: 10.1186/s41239-019-0171-0.
12. UNESCO. Guidance for Generative AI in Education and Research. – Paris: UNESCO, 2023.
