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

作　　者：Wenbo Lyu Guangmin Zhu Ziyi Qin Mengting Yan Jie Zhang 

机构地区：[1]Saxo Business School of Fintech,University of Sanya,Sanya 572000,Hainan Province,China

出　　处：《Journal of Contemporary Educational Research》2024年第11期101-106,共6页当代教育研究（百图）

基　　金：Education Department of Hainan Provincial(Hnky2024-43);Sanya University’s Industry-Education Integration Project(USY-CJRH2313);Financial Innovation and Multi-Asset Intelligent Trading Laboratory of the Key Laboratory of Philosophy and Social Sciences in Hainan Province of University of Sanya.

摘　　要：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.

关 键 词：Large model Machine vision DIGITALIZATION STATUS Technical realization 

分 类 号：H31[语言文字—英语]