Educational Data Mining—A Review of Four Case Studies

摘要：

Educational Data Mining (EDM) is an emerging field which exploits statistical, machine-learning, and datamining (DM) algorithms over the different types of educational data by performing two major tasks: pattern discovery and predictive modeling (Panov, Soldatova, and Dzeroski, 2009).Although EDM opens new possibilities in facilitating teaching, learning, and research, it is a new field for most of instructors and students in various education settings.The purposes of this study include providing an overview of EDM, summarizing common findings by reviewing four EDM studies, and discussing some of the most promising EDM research lines.

关键词： educational data mining learning analytics learning logs case studies

作者: Jui-Long Hung

作者单位: Department of Educational Technology,Boise State University

会议类型: 国际会议

会议名称: 2012年技术促进教育变革国际会议(SICET)

会议地点: 北京

会议语种:英文

页码: 25-27

在线出版日期: 2012-08-01（万方平台首次上网日期，不代表论文的发表时间）