Research and System Design of Input-Output Hybrid Teaching Based on Feynman Theory

With the development of online education, numerous intelligent online teaching systems and educational platforms have emerged, proposing blended teaching and advocating an intelligent instructional approach that combines online and offline learning. However, the current methods of blended teaching lack supervision, and teachers are unable to instantly grasp students’ learning statuses. This paper proposes an innovative blended teaching system that integrates the Feynman theory, a hybrid teaching model, and facial expression recognition technology to enhance instruction. The new teaching methodology consists of three stages: Pre-class Online Learning, In-class Offline Learning, and Post-class Online Learning. The novel system comprises six modules. The integration of the Feynman theory, facial expression recognition, and blended teaching model represents a significant reform approach for future instructional systems.