AI-Based Virtual Classroom Simulator With a Recommendation System in Preservice Teacher Training During COVID-19

Abstract

Teaching practicum is an essential component of any teacher training program. It usually involves theoretical knowledge related to content and teaching in general, classroom management strategies, and skills utilized when confronted with challenging situations. Distance learning tools may impact knowledge transfer. Using artificial intelligence-based virtual classrooms posed a challenge for pre-service teachers to address teaching and learning due to the COVID-19 pandemic. This study addresses incorporating an artificial intelligence-based virtual classroom environment with a recommendation feature as an open-access software to help pre-service teachers develop their teaching skills. Also, the study addresses recommendations to support educators' professional development. Finally, further recommendations and future directions provide thought-provoking ideas for using artificial intelligence-based virtual settings for teaching.