INTEGRATING GENERATIVE ARTIFICIAL INTELLIGENCE INTO ENGLISH LANGUAGE TEACHING AT TECHNICAL UNIVERSITIES: OPPORTUNITIES AND CHALLENGES
DOI:
https://doi.org/10.5281/Keywords:
generative artificial intelligence, ChatGPT, English language teaching, technical university, prompt engineering, ESP, academic integrity.Abstract
This article examines the opportunities and challenges associated with integrating generative artificial intelligence tools, particularly ChatGPT, into English language teaching at technical universities. The pedagogical potential of AI-assisted instruction for developing professional language competencies is analysed alongside the risks related to academic integrity, critical thinking, and equitable access. Drawing on recent research and classroom practice, the article proposes a framework for responsible and effective use of generative AI in English for Specific Purposes instruction.
References
1. Kasneci, E., et al. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274.
2. Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal, 54(2), 537-550.
3. Flowerdew, J., & Peacock, M. (Eds.). (2001). Research Perspectives on English for Academic Purposes. Cambridge University Press.
4. Liang, W., et al. (2023). GPT detectors are biased against non-native English writers. Patterns, 4(7), 100779.
5. White, J. (2023). Generative AI for Everyone. Vanderbilt University / Coursera.
6. Deterding, S., Dixon, D., Khaled, R., & Nacke, L. (2011). From game design elements to gamefulness: Defining gamification. Proceedings of MindTrek, 9-15.
7. Harmer, J. (2015). The Practice of English Language Teaching (5th ed.). Pearson Education.
8. Dudeney, G., Hockly, N., & Peacock, M. (2013). Digital Literacies: Research and Resources in Language Teaching. Pearson Education
