Title :
Educational Data Mining: An Advance for Intelligent Systems in Education
Author_Institution :
Teachers Coll., Columbia Univ., New York, NY, USA
Abstract :
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.
Keywords :
data mining; intelligent tutoring systems; educational data mining methods; online intelligent systems; student learning; Data mining; Detectors; Educational institutions; Learning systems; Software development; MOOCs; MOOTs; Moment-by-Moment Learning Model; PSLC DataShop; education data mining; intelligent systems;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2014.42
