Research on Multi-modal Affective Assistant Model in Online Synchronous Teaching

Emotion(1) plays an important role in the process of learning. There is a lack of interaction between teachers and students and a lack of emotional communication in the process of online education, which makes the effect of online education discounted. This paper studies and designs a multi-modal affective assistant model for one-to-one teaching in online synchronous teaching. The model is composed of local Agent and communication Agent. Using the multi-modal emotional information fusion technology, the design of the affective assistant model is completed in the teacher and student ends. The human-computer interaction based on the affective computing is realized. The emotional state of teachers and students in the learning process is recorded and measured in real time, and the emotional analysis is completed. The function of teaching assistants and learning assistants based on multi-modal effective computing can give teachers and students proper emotional feedback and improve the effect of teaching and learning.