The potential of Educational Data Mining techniques in educational large-scale assessments

Reference : The potential of Educational Data Mining techniques in educational large-scale assessments


	Document type :	Scientific Presentations in Universities or Research Centers : Scientific presentation in universities or research centers
	Discipline(s) :	Social & behavioral sciences, psychology : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/10993/3549

Title :	The potential of Educational Data Mining techniques in educational large-scale assessments
Language :	English
Author, co-author :	Greiff, Samuel [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Educational Measurement and Applied Cognitive Science (EMACS) >]
	Martin, Romain [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Educational Measurement and Applied Cognitive Science (EMACS) >]
Publication date :	28-Feb-2013
Event name :	Invited Speech
Event date :	28.02.2013
Event organizer :	Columbia University
Event place (city) :	New York
Event country :	USA
Permalink :	http://hdl.handle.net/10993/3549

There is no file associated with this reference.

All documents in ORBi^lu are protected by a user license.