摘要
为了提高现代高校校园信息化水平,充分使用学生在校行为数据创建智慧校园、数字校园,设计基于数据挖掘学习分析的计算机教学研究模型。通过网络平台收集某高校学生和教师教学大数据,使数据以深度学习过程意向模型实现分类,使用具备学习分析的定量研究方法实现网络化学习中教师在线备课、在线指导、学生自主学习、学习反馈与师生交互行为实现量化,对行为和深度学习过程中的意向模型进行相关性分析。通过研究表明,此行为存在较大管理难度,但能够为教师今后开发网络教学资源、学生学习评估提供参考。
In order to improve the level of campus informatization in modern colleges and universities,and make full use of students′ behavior data to create intelligent campus and digital campus,a computer teaching research model based on data mining learning analysis is designed. The big data of students and teachers′ teaching of a university is collected by means of the network platform. The data is classified according to the intent model of deep learning process. The quantitative research method with learning analysis is used to realize the quantification of teachers′ online lesson preparation,online guidance,and students′ autonomous learning,learning feedback,as well as teacher.student interaction in online learning. The relevance analysis of behavior and deep learning process intention model is conducted. The research results show that the method can provide a reference for teachers to develop network teaching resources and realize learning assessment of students.
作者
孙伯翰
SUN Bohan(Jilin Police College,Changchun 130117,China)
出处
《现代电子技术》
北大核心
2019年第19期127-131,共5页
Modern Electronics Technique
关键词
数据挖掘
计算机教学
实证研究
学习分析
学习评估
网络教学资源开发
data mining
computer teaching
empirical research
learning analysis
learning assessment
network teaching resource development
