Boosting Teachers’ Professional Development Through Large-Scale Classroom AI Analysis
摘要
Firstly, we establish classroom evidence-based systems based on the educational brain system architecture. Relying on artificial intelligence and other technologies, the brain-like neural perception system collects various multi-modal heterogeneous data from the teaching and learning process in classrooms in a normalized, accompanying, and lightweight manner, utilizing various sensors. This enables digital twins of real classrooms, providing basic data for subsequent intelligent analysis, including teacher–student voice, blackboard writing, courseware, videos, teacher–student behavior, psychological performance, learning status, environment, equipment, and other data. The brain-like central nervous system performs calculations, analysis, and management of the data.