Presentation Schedule
Students’ Expectations on AI Use of English Teachers (98574)
Session Chair: Elisa Sartor
Saturday, 7 February 2026 15:10
Session: Session 4
Room: Tourmaline 208 (Level 2)
Presentation Type: Oral Presentation
This study explores students’ expectations regarding the integration of artificial intelligence (AI) by English language teachers in instructional settings. The research targeted a population of approximately 5,000 students, predominantly at the undergraduate level, with a small proportion at the postgraduate level. Data were collected through an online questionnaire, yielding 357 valid responses. The study addressed three primary research questions: (1) What are students’ expectation levels concerning their English teachers’ use of AI? (2) Which AI applications do students prefer their teachers to use in English instruction? (3) What suggestions do students offer for the effective use of AI in teaching English? The findings indicate that a majority of students support the use of AI in English language teaching. Notably, 70% of respondents identified ChatGPT as the preferred AI tool for instructional purposes. However, while students generally endorsed AI integration, 61.76% emphasized that its use should be conditional and context-specific, rather than applied universally. These results suggest that students recognize the potential benefits of AI in enhancing language instruction but advocate for thoughtful and selective implementation. The study contributes to the growing body of literature on AI in education by highlighting student perspectives, which are essential for guiding effective and ethical AI adoption in language teaching.
Authors:
Watcharee Paisart, King Mongkut's University of Technology North Bangkok, Thailand
About the Presenter(s)
Dr Watcharee Paisart is a University Postdoctoral Fellow or Instructor at King Mongkut's University of Technology North Bangkok in Thailand
See this presentation on the full schedule – Saturday Schedule





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