Learning analytics versus Data mining, questioning definitions

In this communication presented at LAK2013 (Leuven), Kris Lund and myself considered an analysis of the TeLearn archive, of the Grand Challenges from the STELLAR Network of Excellence, of two Alpine Rendez-Vous 2011 workshops and research conducted in the Productive Multivocality initiative in order to discuss the notions of multidisciplinarity, multivocality and interidisciplinarity. We used this discussion as a springboard for addressing the term “Learning Analytics” and its relation to “Educational Data Mining”. Our goal is to launch a debate pertaining to what extent the different disciplines involved in the TEL community can be integrated on methodological and theoretical levels.

You may want to read the [full paper] available on the TeLearn Open Archive.