摘要
教学大数据是在多源异构、不连续、易干扰环境下形成的经典数据与非经典数据的复杂集合。该文从教学大数据挖掘的观点出发,增加Web数据和图像数据,对传统的挖掘数据源进行扩展;提出教学视点和数据视点的概念,并基于此构建了教学数据挖掘框架;以远程教学过程为例,从教师、学习者、管理者、资源设计、教学事件处理等不同的视点提出了数据挖掘的相关因素。通过多种数据源的挖掘处理方法的研究完成相应视点下事件的因果关系及相关关系的分析,为教学数据挖掘提出了新的思路和策略,为教学质量提升提出了一种可行的方法。
Teaching big data is a complex set of classic data and non-classic data formed in multi-source heterogeneous, discontinuous and interference environments. From the viewpoint of teaching big data mining, this paper increases Web data and inaage data, and expands the traditional mining data sources. Put forward the concept of teaching viewpoint and data viewpoint and construct a teaching data mining framework based on them. Taking the distance learning process as an example, this paper puts forward the related factors of data mining from different perspectives such as teachers, learners, managers, resource designing and teaching event processing. Study a variety of data source mining methods and complete the causal relationship and related relationship analysis between incidents under the multiple viewpoints. This paper puts forward new ideas and strategies for teaching data mining and puts forward a feasible method for the improvement of teaching quality.
作者
张琳
李小平
张少刚
陈建珍
孙志伟
孙清亮
Zhang Lin;Li Xiaoping;Zhang Shaogang;Chert Jianzhen;Sun Zhiwei;Sun Qingliang(Institute of Educational Technology, Beijing Institute of Technology, Beijing 100081;The Open University of China, Beijing 100039)
出处
《中国电化教育》
CSSCI
北大核心
2018年第4期41-49,共9页
China Educational Technology
基金
国家自然科学基金"云环境下基于图形化预定义和参数化方法的视频对象行为分析关键技术研究"(项目编号:61240044)
广电总局重点项目"基于云平台的网络影视在线教育关键技术研究与应用"
北京市教育信息化建设项目(项目编号:1330037061314)研究成果
关键词
教学视点
数据挖掘
挖掘模式
多源异构数据
数据视点
远程教学
Teaching Viewpoint
Data Mining
Mining Mode
Multi-source Heterogeneous Data
Data Viewpoint
Distance Learning
