Educational Data Mining: An Advance for Intelligent Systems in Education

被引：72
|
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
收藏
页码：78 / 82
页数：5
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