Issue No. 03 - May-June (2014 vol. 29)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2014.42
Ryan S. Baker , Teachers College, Columbia University
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.
Data mining, Software development, Educational institutions, Detectors, Learning systems,PSLC DataShop, education data mining, intelligent systems, MOOCs, MOOTs, Moment-by-Moment Learning Model
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