基于移动云教学平台的学情数据分析实证研究——以独立学院《动态网站设计》课程为例  

An empirical study of learning situation data analysis based on mobile cloud teaching platform:A case study of “dynamic website design” course

作　　者：刘云鹏 LIU Yun-peng(School of Information Management and Engineering,Neusoft Institute Guangdong,Foshan 528225,China)

机构地区：[1]广东东软学院信息管理与工程学院

出　　处：《计算机工程与科学》2019年第S01期119-123,共5页Computer Engineering & Science

摘　　要：在"移动互联网+"时代来临之际,切实开展真正的翻转课堂教学,将会开启大数据时代高等教育教学改革的新天地,每个教师都可以是自己课堂的大数据生产者。通过在移动学习环境下,开展云班课《动态网站设计》的混合式教学实践,并通过云班课收集的详细数据,利用"DataHoop"大数据分析平台,对学生的学习状况进行分类,分析学生的学习动机,探索基于网络的学生学习心理,为教师开展网络教学、制作满足学生需求的课程资源和学生考核管理办法等提供数据和理论支撑。In the era of "mobile Internet +", to carry out the real flipped classroom teaching will open up a new world for the reform of higher education in the era of big data. Every teacher can be a big data producer in his classroom. This research carries out the mixed teaching practice of "Dynamic Website Design" course in the cloud class under the mobile learning environment. Through the detailed data collected from the cloud class and the big data analysis platform of "Datahoop", we classify the students’ learning status, analyze their learning motivation, and explore the students’ learning psychology based on the network. This study provides data and theoretical support for teachers to carry out online teaching, make curriculum resources that meets students’ needs, and designs student assessment management methods.

关 键 词：云教学 学情数据 教育数据分析 聚类分析 

分 类 号：G642[文化科学—高等教育学]