The learning analytics & knowledge (LAK) data challenge 2014

  • Authors:

  • Hendrik Drachsler;Stefan Dietze;Eelco Herder;Mathieu d'Aquin;Davide Taibi

  • Affiliations:

  • Welten Institute, Open University of the Netherlands;Leibniz University, Hannover, Germany;Leibniz University, Hannover, Germany;The Open University, UK;Institute for Educational Technologies, National Research Council of Italy

  • Venue:
  • Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
  • Year:
  • 2014

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Abstract

The LAK Data Challenge 2014 continues the research efforts of the second edition 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.