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Alex Barrett; Fengfeng Ke; Nuodi Zhang; Chih-Pu Dai; Saptarshi Bhowmik; Xin Yuan; Sherry Southerland – Journal of Technology and Teacher Education, 2025
This case study reports on the perceptions and dialogic behaviors of 15 preservice K-12 teachers engaging in simulation-based teaching practice with AI-powered student agents. Data included transcripts of text-based classroom dialogue, interviews, observations, and conversation logs. Using mixed-methods analyses and a framework of ambitious…
Descriptors: Preservice Teachers, Artificial Intelligence, Computer Simulation, Dialogs (Language)
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Jewoong Moon; Fengfeng Ke; Zlatko Sokolikj – Technology, Knowledge and Learning, 2025
In this exploratory study, we designed and validated game-based performance tasks to assess the development of representational flexibility in autistic adolescents through virtual reality (VR)-based training. Representational flexibility, a critical cognitive ability, involves attention switching, generating representations, and recognizing…
Descriptors: Game Based Learning, Educational Games, Performance, Task Analysis
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Nuodi Zhang; Fengfeng Ke; Chih-Pu Dai; Sherry A. Southerland; Xin Yuan – British Journal of Educational Technology, 2025
Preparing preservice teachers (PSTs) to be able to notice, interpret, respond to and orchestrate student ideas--the core practices of responsive teaching--is a key goal for contemporary science and mathematics teacher education. This mixed-methods study, employing a virtual reality (VR)-supported simulation integrated with artificial intelligence…
Descriptors: Preservice Teachers, Preservice Teacher Education, Artificial Intelligence, Computer Simulation