EDM: Educational Data Mining

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2017 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
EDM 2016 International Conference on Educational Data Mining June 29, 2016 - July 2, 2016
Jun 29, 2016 - Jul 2, 2016 Raleigh, NC, USA Feb 26, 2016
EDM 2015 Educational Data Mining
Jun 26, 2015 - Jun 29, 2015 Madrid, Spain Feb 9, 2015 (Feb 2, 2015)
EDM 2014 Educational Data Mining
Jul 4, 2014 - Jul 7, 2014 London, UK Feb 24, 2014 (Feb 17, 2014)
EDM 2012 The 5th International Conference on Educational Data Mining
Jun 19, 2012 - Jun 21, 2012 Chania, Crete, Greece Feb 5, 2012
EDM 2011 The 4th International Conference on Educational Data Mining
Jul 6, 2011 - Jul 8, 2011 Eindhoven, Netherlands Mar 28, 2011
EDM 2010 The Third International Conference on Educational Data Mining
Jun 11, 2010 - Jun 13, 2010 Pittsburgh, PA, USA Mar 10, 2010
EDM 2009 2nd International Conference on Educational Data Mining
Jul 1, 2009 - Jul 3, 2009 Cordoba, Spain Mar 31, 2009
EDM 2008 First International Conference on Educational Data Mining
Jun 20, 2008 - Jun 21, 2008 Montreal, Canada Mar 31, 2008
 
 

Present CFP : 2016

We invite submissions to the 9th International Conference on Education Data Mining (EDM2016), to be held in Raleigh, North Carolina, USA, under the auspices of the International Educational Data Mining Society on June 29-July 2, 2016, Raleigh, NC, USA at North Carolina State University.

The EDM conference is a leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces that students leave when they interact, either individually or collaboratively, with learning management systems, interactive learning environments, intelligent tutoring systems, educational games or when they participate in a data-rich learning context. The types of data therefore range from raw log files to eye-tracking devices and other sensor data.
 

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