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Generative AI-Enhanced Virtual Reality Simulation for Pre-Service Teacher Education: A Mixed-Methods Analysis of Usability and Instructional Utility for Course Integration

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Pubblicato in:Education Sciences vol. 15, no. 8 (2025), p. 997-1020
Autore principale: Hong Sumin
Altri autori: Moon Jewoong, Eom Taeyeon, Awoyemi, Idowu David, Hwang Juno
Pubblicazione:
MDPI AG
Soggetti:
Teaching
Pedagogy
Usability
Instructional design
Teacher education
Cognitive load
Feedback
Preservice teachers
Virtual reality
Generative artificial intelligence
Case studies
Innovations
Simulation
Classrooms
Multimedia
Decision making
Learning
Mixed methods research
Quantitative analysis
Qualitative research
Computer Simulation
Authentic Learning
Literature Reviews
Instructional Innovation
Experiential Learning
Influence of Technology
Educational Methods
Educational Innovation
Educational Technology
Inplant Programs
Classroom Techniques
Feedback (Response)
Field Experience Programs
Information Transfer
Artificial Intelligence
Emotional Response
Affordances
Cognitive Ability
Learner Engagement
Educational Strategies
Educational Principles
Accesso online:Citation/Abstract
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