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Towards Evidence-Based, Data-Driven Thinking in Higher Education

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Electronic Government and the Information Systems Perspective (EGOVIS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12394))

Abstract

Decisions in higher education institutions may have an impact on several stakeholders at the same time (students, academic personnel, teaching and non-teaching staff), for this reason, it is crucial to try to make the best-informed decision possible. The evidence-based practice is a method for decision-making processes, using evidence from multiple sources in a conscientious, explicit and judicious manner. This practice can be leveraged in higher education; however, its implementation and adoption may take a long time and demand a lot of effort. The aim of this paper is to motivate higher education institutions to follow evidence-based, data-driven thinking. We present the evidence-based practice – in general and from the point of view of higher education –, give guidance on how an institution can start applying the method in decision-making or going further if it is on the journey, and encourage data-driven thinking pointing out the different areas where data analytics can be beneficial.

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Author information

Authors and Affiliations

  1. Corvinus University of Budapest, Fővám Square 8, Budapest, 1093, Hungary

    Ágnes Meleg & Réka Vas

Authors
  1. Ágnes Meleg
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  2. Réka Vas
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Corresponding author

Correspondence to Ágnes Meleg .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Corvinus University of Budapest, Budapest, Hungary

    Andrea Kő

  2. National Research Council, Florence, Italy

    Enrico Francesconi

  3. Johannes Kepler University of Linz, Linz, Oberösterreich, Austria

    Gabriele Kotsis

  4. Vienna University of Technology, Vienna, Wien, Austria

    A Min Tjoa

  5. Johannes Kepler University of Linz, Linz, Oberösterreich, Austria

    Ismail Khalil

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Meleg, Á., Vas, R. (2020). Towards Evidence-Based, Data-Driven Thinking in Higher Education. In: Kő, A., Francesconi, E., Kotsis, G., Tjoa, A., Khalil, I. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2020. Lecture Notes in Computer Science(), vol 12394. Springer, Cham. https://doi.org/10.1007/978-3-030-58957-8_10

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  • DOI: https://doi.org/10.1007/978-3-030-58957-8_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58956-1

  • Online ISBN: 978-3-030-58957-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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