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Title: The rd LAK data competition
Authors: Drachsler, Hendrik
Dietze, Stefan
Herder, Eelco
d'Aquin, Mathieu
Taibi, Davide
Scheffel, Maren
Keywords: learning analytics
data mining
linked data
Issue Date: 2015
Publisher: ACM
Citation: Drachsler, H., Dietze, S., Herder, E., D’Aquin, M., Taibi, D., & Scheffel, M. (2015). The 3rd LAK data competition. In J. Baron, G. Lynch, N. Maziarz, P. Blikstein, A. Merceron, & G. Siemens (Eds.), Proceedings of the Fifth International Conference on Learning Analytics And Knowledge (LAK’15) (pp. 396–397). New York, NY, USA: ACM.
Abstract: The LAK Data Challenge 2015 continues the research efforts of the previous data competitions in 2013 and 2014 by stimulating research on the evolving fields Learning Analytics (LA) and Educational Data Mining (EDM). Building on a series of activities of the LinkedUp project, the challenge aims to generate new insights and analysis on the LA & EDM disciplines and is supported through the LAK Dataset - a unique corpus of LA & EDM literature, exposed in structured and machine-readable formats.
Appears in Collections:1. TELI Publications, books and conference papers

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