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Educational data mining applications and tasks: A survey of the last 10 years

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Abstract

Educational Data Mining (EDM) is the field of using data mining techniques in educational environments. There exist various methods and applications in EDM which can follow both applied research objectives such as improving and enhancing learning quality, as well as pure research objectives, which tend to improve our understanding of the learning process. In this study we have studied various tasks and applications existing in the field of EDM and categorized them based on their purposes. We have compared our study with other existing surveys about EDM and reported a taxonomy of task.

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Authors and Affiliations

  1. Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada

    Behdad Bakhshinategh

  2. Department of Computing Science, University of Alberta, Alberta, Canada

    Osmar R. Zaiane

  3. Faculté Saint-Jean, The University of Alberta, Edmonton, Alberta, Canada

    Samira ElAtia

  4. Glendon College York University, Toronto, Ontario, Canada

    Donald Ipperciel

Authors
  1. Behdad Bakhshinategh
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  2. Osmar R. Zaiane
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  3. Samira ElAtia
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  4. Donald Ipperciel
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Correspondence to Samira ElAtia.

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Bakhshinategh, B., Zaiane, O.R., ElAtia, S. et al. Educational data mining applications and tasks: A survey of the last 10 years. Educ Inf Technol 23, 537–553 (2018). https://doi.org/10.1007/s10639-017-9616-z

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  • DOI: https://doi.org/10.1007/s10639-017-9616-z

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