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Increasing the accessibility of learning objects by automatic tagging

: Niemann, K.


Association for Computing Machinery -ACM-:
LAK 2015, Fifth International Conference on Learning Analytics And Knowledge. Proceedings : Poughkeepsie, NY, USA - March 16 - 20, 2015
New York: ACM, 2015
ISBN: 978-1-4503-3417-4
International Conference on Learning Analytics and Knowledge (LAK) <5, 2015, Poughkeepsie/NY>
Conference Paper
Fraunhofer FIT ()

Data sets coming from the educational domain often suffer from sparsity. Hence, they might comprise potentially use-ful learning objects that are not findable by the users. In order to address this problem, we present a new way to auto-matically assign tags and classifications to learning objects offered by educational web portals that is solely based on the objects' usage.