OPPORTUNITIES FOR USING ARTIFICIAL INTELLIGENCE TOOLS IN TEACHING ENGLISH AT TECHNICAL COLLEGES

Authors

  • Eshqorayeva Ibodat English language teacher at Termez City Technical School No. 2

Keywords:

artificial intelligence, English language teaching, technical colleges, vocational education, AI tools, communicative competence, digital pedagogy, adaptive learning, professional English.

Abstract

The rapid development of artificial intelligence has created new pedagogical opportunities for English language teaching, especially in technical colleges where learners need both communicative competence and profession-oriented language skills. Unlike general secondary education, technical colleges require English instruction to be connected with vocational terminology, workplace communication, technical documentation, safety instructions, professional presentations, and digital literacy. This article analyzes the opportunities for using artificial intelligence tools in teaching English at technical colleges through an IMRAD-based conceptual-analytical approach. The study examines how AI-supported platforms, generative language models, automated feedback systems, speech recognition tools, machine translation, adaptive learning environments, and AI-based assessment applications can support English language learning. The analysis shows that AI tools may improve personalization, expand access to authentic language practice, support pronunciation and writing development, reduce teachers’ routine workload, and strengthen profession-oriented English instruction. However, the effective use of AI depends on methodological control, teacher competence, ethical regulation, data privacy, academic integrity, and the preservation of human interaction in the classroom. International guidance emphasizes that AI in education should be human-centred, ethically regulated, and pedagogically justified rather than used as a replacement for teachers. The article concludes that AI tools can be highly valuable in technical colleges if they are integrated into lesson objectives, vocational content, communicative tasks, and assessment criteria. The proposed model recommends using AI as a supportive didactic instrument for planning, practice, feedback, differentiation, and reflection, while maintaining the teacher’s central role in instruction, motivation, critical thinking, and ethical supervision.

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References

British Council. Artificial Intelligence and English Language Teaching. The report examines AI in relation to English language teaching, including research trends, classroom implications, and practical issues for teachers.

British Council. Artificial Intelligence and English Language Teaching: Systematic Review. The review analyzes research on AI in English language teaching and learning over the previous decade.

European Commission. Ethical Guidelines on the Use of Artificial Intelligence and Data in Teaching and Learning for Educators. The guidelines support educators in understanding ethical AI and data use in teaching and learning.

OECD. Artificial Intelligence and Education and Skills. OECD discusses how AI affects education, skills, learning systems, and future policy questions.

OECD. AI Adoption in the Education System. The paper examines the deliberate deployment of AI in education systems, including issues of equity and implementation.

UNESCO. Guidance for Generative AI in Education and Research. UNESCO presents guidance for responsible, human-centred, and policy-supported use of generative AI in education and research.

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Published

2026-04-27

How to Cite

OPPORTUNITIES FOR USING ARTIFICIAL INTELLIGENCE TOOLS IN TEACHING ENGLISH AT TECHNICAL COLLEGES. (2026). Multidisciplinary Journal of Science and Technology, 6(4), 550-556. https://mjstjournal.com/index.php/mjst/article/view/7276