基于大数据的协同学习干预模型的研究  

Research on Intervention Model of Collaborative Learning Based on Big Data

作　　者：许旻[1] 孙赢[1] 秦晗阳 XU Min;SUN Ying;QIN Hanyang(School of Computer Engineering,Suzhou Vocational University,Suzhou 215104,China)

机构地区：[1]苏州市职业大学计算机工程学院

出　　处：《苏州市职业大学学报》2019年第3期24-27,共4页Journal of Suzhou Vocational University

基　　金：苏州市职业大学教改项目(研究性课程)(SZDYKC-180604)

摘　　要：大数据技术的发展带来了教学模式的变革。本研究从学习者对象模型、学习者状态模型、干预策略库对象模型以及学习干预引擎模型等方面进行分析,并通过基于协同学习平台的干预机制的实例研究,为协同学习系统的实现与应用提供理论依据。Big data technology brings revolutionary changes to the teaching and learning ways.The paper provides theoretical foundation for the realization and application of this collaborative learning system by analyzing learners’target model,their status quo model,the target model of intervening strategy data base as well as the engine model of learning intervention,and by conducting empirical researches into the intervening mechanism based on this collaborative learning platform.

关 键 词：大数据 协同学习 干预模型 干预策略 

分 类 号：G434[文化科学—教育学]