教室环境下的教学质量AI机器评估研究进展  

AI Machine Evaluation Level on Classroom Teaching Quality

作　　者：广田薰 周政 MERSHA Bemnet Wondimagegnehu 戴亚平[1,2] HIROTA Kaoru;ZHOU Zheng;MERSHA Bemnet Wondimagegnehu;DAI Yaping(School of Automation,Beijing Institute of Technology,Beijing,100081,China;Tangshan Research Institute,Beijing Institute of Technology,Tangshan,Hebei 063611,China)

机构地区：[1]北京理工大学自动化学院,北京100081 [2]北京理工大学唐山研究院,河北唐山063611

出　　处：《北京理工大学学报》2024年第10期1077-1088,共12页Transactions of Beijing Institute of Technology

基　　金：北京市高等教育学会2022年面上课题(MS2022403)。

摘　　要：借助于人工智能(artificial intelligent,AI)技术,实现教室环境下课堂教学质量的机器自动评估,是一项富有挑战性的工作.针对教学质量AI机器评估问题,介绍传统的教学质量评估方法,分析机器评估使用的相关AI技术;并以不同的评估技术为主线,对教室环境下的AI机器评估研究进展进行详细归纳与分析,指出目前机器评估面临的挑战.Artificial intelligence(AI)technology has made the automatic machine evaluation on classroom teaching quality become a significant challenge.To tackle the issue of AI machine assessment of teaching quality,a lot of traditional approaches on teaching quality assessment were reviewed and some relevant AI technologies employed in machine assessment were analyzed in this study.Focusing on several central evaluation technologies,the technology evolution of AI machine evaluation in classroom environment was summarized and analyzed,presenting the new challenges in AI machine evaluation.

关 键 词：人工智能 课堂教学质量评估 机器评估 深度学习 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]