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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/9143
Title: Editorial: Datasets for Learning Analytics
Authors: Dietze, Stefan
George, Siemens
Davide, Taibi
Drachsler, Hendrik
Keywords: dataset
learning analytics
Issue Date: 2016
Publisher: Journal of Learning Analytics
Citation: Dietze, S. Siemens, G., Taibi, D., Drachsler, H. (2016). Editorial: Datasets for Learning Analytics. Journal of Learning Analytics Research, 3(2), 307-311. doi:http://dx.doi.org/10.18608/jla.2016.32.15
Abstract: The European LinkedUp and LACE (Learning Analytics Community Exchange) project have been responsible for setting up a series of data challenges at the LAK conferences 2013 and 2014 around the LAK dataset. The LAK datasets consists of a rich collection of full text publications in the domain of Learning Analytics and Educational Data Mining. The LAK dataset offers publicly available, machine-readable versions of research articles from the Learning Analytics and Educational Data Mining communities in various formats, where the main goal is to facilitate research, analysis, and smart explorative applications. Based on the insights gained from these data challenges, the idea was born to make more Learning Analytics data sets publicly available for researchers to get to a more open access data-driven research community within Learning Analytics. With this special section, we publish four data sets that answered the call for data sets by the journal. It is our vision to collect more data sets like these in this initial collection and reward their creators through citing the datasets and connecting new research outcomes to them.
URI: http://hdl.handle.net/1820/9143
Appears in Collections:1. TELI Publications, books and conference papers

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