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  • 标题:Current State of Art of Academic Data Mining and Future Vision
  • 本地全文:下载
  • 作者:Insha Majeed ; Sameena Naaz
  • 期刊名称:Indian Journal of Computer Science and Engineering
  • 印刷版ISSN:2231-3850
  • 电子版ISSN:0976-5166
  • 出版年度:2018
  • 卷号:9
  • 期号:2
  • 页码:49-56
  • 出版社:Engg Journals Publications
  • 摘要:Academic Mining or Educational Data Mining is multidisciplinary research area ofMathematics, Data Mining/ Machine Learning and Statistics to enable student, teacher, civil society andeducational administrators in better understanding and decision making. Academic mining is stillevolving and is closely associated with learning analytics which enables us to discover how studentsunderstand & choose and how teachers deliver right content in view of changing academic standards.This is derived from large repositories of data available in academic institutions, though data is nonstandardised and heterogeneous in nature. In this paper effort has been laid to understand academicmining, its root, the present scenario and future vision has been discussed. The work of majorcontributors in this field has been reviewed and compared in order to make academic mining orEducation Data Mining understandable to researchers.
  • 关键词:Academic Mining or Education Data Mining; Data Mining; Predictive Data Mining; Predictive;Analytics.
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