Design of Classroom Intelligent Feedback System Based on Deep Learning

Abstract

With the advancement of education informatization, artificial intelligence technology has injected new vitality to improve teaching quality. Under the current traditional classroom pattern, teachers pay more attention to students' knowledge mastery level, academic performance and other cognitive achievements instead of learning emotional state, which is not conducive to stimulate students' learning motivation and improve teaching efficiency fundamentally. In this regard, this paper puts forward the classroom intelligent feedback system based on deep learning. Artificial intelligence technology is used to calculate and analyze students' facial expression and behavior posture, and combined with the analysis of teaching evaluation model, teachers are able to get feedback from the students' classroom learning status in real time, which provides a feasible solution for the fine-grained process evaluation