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Examining Preservice Teachers’ Dialogic Teaching in AI-Driven Virtual Reality Classrooms
I will present two studies examining preservice teachers’ dialogic teaching practices within an immersive virtual reality (VR) classroom simulation powered by a large language model (LLM). Study 1 investigated 23 preservice teachers’ perceptions of authenticity, situational interest, and self-efficacy during VR-based classroom debates, and analyzed their talk-move patterns using a hidden Markov model. Study 2 explored whether repeated simulation experiences combined with peer feedback influenced 22 preservice teachers’ beliefs about classroom ownership of ideas and activities. Together, the findings suggest that AI-driven VR simulations offer authentic and scalable environments for capturing dialogic teaching practices and fostering more student-centered instructional beliefs among preservice teachers.
Date:
23 February 2026, 12:45
Venue:
15 Norham Gardens, 15 Norham Gardens OX2 6PY
Venue Details:
Seminar Room D (and online)
Speaker:
Dr Yizhen (Eejain) Huang (Hector Research Institute of Education Sciences and Psychology, University of Tübingen)
Organising department:
Department of Education
Part of:
Quantitative Methods Hub Seminars
Booking required?:
Not required
Audience:
Public
Editors:
Hannah Freeman,
Heather Sherkunov,
Kristina Khoo,
Shaena Sinclair