Educational Data Mining: An Advance for Intelligent Systems in Education

被引：75

作者：

Baker, Ryan S. ^{[1
]}

机构：

[1] Columbia Univ, Teachers Coll, Dept Human Dev, New York, NY 10027 USA

来源：

IEEE INTELLIGENT SYSTEMS | 2014年 / 29卷 / 03期

关键词：

education data mining; intelligent systems; Moment-by-Moment Learning Model; MOOCs; MOOTs; PSLC DataShop;

D O I：

10.1109/MIS.2014.42

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Educational data mining methods have been successful at modeling a range of phenomena relevant to student learning in online intelligent systems. Here, the author considers the current state of the field, outlining recent strides and remaining challenges. © 2001-2011 IEEE.

引用

页码：78 / 82

页数：5

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