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Issue No. 03 - May-June (2014 vol. 29)
ISSN: 1541-1672
pp: 78-82
Ryan S. Baker , Teachers College, Columbia University
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.
INDEX TERMS
Data mining, Software development, Educational institutions, Detectors, Learning systems
CITATION
Ryan S. Baker, "Educational Data Mining: An Advance for Intelligent Systems in Education", IEEE Intelligent Systems, vol. 29, no. , pp. 78-82, May-June 2014, doi:10.1109/MIS.2014.42
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