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  • 标题:The State of the Art on Educational Data Mining in Higher Education
  • 本地全文:下载
  • 作者:Mohamed Osman Hegazi ; Mazahir Abdelrhman Abugroon
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2016
  • 卷号:31
  • 期号:1
  • 页码:46-56
  • DOI:10.14445/22312803/IJCTT-V31P109
  • 出版社:Seventh Sense Research Group
  • 摘要:Educational data mining (EDM) is a broader term that focuses on analyzing, exploring, predicting, clustering, and classification of data in educational institutions. EDM grows faster and covers many interdisciplinary such as education, elearning, data mining, data analysis, intelligent system etc... The paper presents most relevant work in the area of EDM in higher education it covers course management systems, student behaviors, decision support system, and student retention and attrition. The paper also provide a comparison study between some of research work in such areas. Because of the growth in the interdisciplinary nature of EDM the paper, also try to provide boundary scope and definitions for EDM.
  • 关键词:Data Mining; DM; Educational Data Mining; EDM; Knowledge Discovery; KDD; Decision SupportSystem; DSS; Course Management Systems; CMS.
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