摘要
针对传统课堂教学分析中存在的信息采集不全面,教学行为或信息流标注转化复杂度高、耗时大,数据采集主观影响大、通用性差等问题,提出了基于大数据的高校课堂教学分析平台,并深入研究了平台架构及关键技术,有利于推动教育与信息技术的深度融合发展,指导教学改进,提升教学质量。
Traditional classroom teaching analysis has a lot of problems,such as incomplete information collection,highly complex and time-consuming teaching behavior or information flow annotation and transformation,large subjective influence and poor universality of data collection.This paper presents a big data based classroom teaching analysis platform in colleges and universities,and studies the platform architecture and key technologies,which are constructive to promoting the depth of education and information technology to improve teaching quality.
作者
辛继胜
刘泽华
李昊
XIN Jisheng;LIU Zehua;LI Hao(School of Information Technology,Guangdong Industry Polytechnic,Guangzhou 510300,China;Guangzhou Think-Height Information Technology Co.,Ltd,Guangzhou 510640,China)
出处
《广东轻工职业技术学院学报》
2020年第1期11-17,共7页
Journal of Guangdong Industry Polytechnic
基金
广东轻工职业技术学院科研基金项目(QN2018-013)。
关键词
人工智能
大数据
课堂教学分析
artificial intelligence
big data
classroom teaching analysis