Implementation of Digital Classroom State System for Teachers and Students Based on Large Models

Abstract

Deep learning has become a hot field of artificial intelligence, and the deep learning large model framework has become a bridgehead for the active layout of Chinese and foreign technology companies. Large models play a significant role in the application field, greatly improving the efficiency of training and optimization, and contributing to the landing of many innovative artificial intelligence tools. Based on the Chinese PaddlePaddle large model framework, an application system is designed in combination with the intelligent classroom teaching scenario, which uses machine vision algorithms to distinguish and present teachers’ and students’ behaviors, that is, the digitization and multi-classification scheme of class character states. After having digital data, data analysis can be carried out to evaluate the class status of teachers and students, and the traditional subjective judgment such as peacetime grades and teaching ability can be upgraded to the objective judgment of artificial intelligence.