摘要
随着大学教学信息化进程的不断深化与发展,如何测量、挖掘、分析与利用在学习平台中积累的大量数据,以更好地支持教学与学习,进而改善和提升教与学的质量与效能,已成为摆在大学教学信息化研究者与实践者面前的现实课题。学习分析的兴起则为解决这一难题,提供了一系列的方法、工具和手段。文章将基于国内外学者的已有研究,通过对学习分析的发展脉络的梳理,对学习分析的内涵、过程、工具和方法作较为深入的解读,并尝试从推动大学教学创新的视角,阐释学习分析对促进大学教学信息化深入发展的重要价值和深远影响。
With the popularization and development of information technology in higher education, large amounts of data are accumulated in the learning system and course management systems and platforms, but, how to measure, mining, analysis and use these data to better support teaching and learning, and improve the quality and effectiveness of teaching and learning becomes a reality in the face of higher education information technology researchers and practitioners. Learning analytics uses of business intelligence and network analysis, data mining, analytics and modeling technology to support services for teaching and learning process, supervision and monitoring of teaching and learning process as well as teaching and learning effectiveness the evaluation provides a more scientific basis and support, and thus for the in-depth development of the teaching of information technology to provide a forward direction and momentum.
出处
《现代教育技术》
CSSCI
2012年第7期5-10,共6页
Modern Educational Technology
基金
2012年教育部人文社会科学研究青年基金项目"促进信息化与高校战略发展融合的体制机制研究"(项目编号:12YJC880065)
江苏省教育科学"十二五"规划2011年度青年专项重点自筹项目"信息时代大学教学支持服务体系国际经验研究"(课题编号:C-b/2011/01/05)的阶段性成果
关键词
学习分析
教学信息化
教学支持服务
learning analytics
teaching information
social network analysis
