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Learning Analytics Kitchen

  • Roope Jaakonmäki
  • Jan vom Brocke
  • Stefan Dietze
  • Hendrik Drachsler
  • Albrecht Fortenbacher
  • René Helbig
  • Michael Kickmeier-Rust
  • Ivana Marenzi
  • Angel Suarez
  • Haeseon Yun
Chapter
  • 26 Downloads
Part of the SpringerBriefs in Business Process Management book series (BRIEFSBPM)

Abstract

Among trending topics that can be investigated in the field of educational technology at present—Massive Open Online Courses (MOOCs), Open Educational Resources (OERs), wearables, and so on—there is a high demand for using educational data to improve the whole learning and teaching cycle, from collecting and estimating students’ prior knowledge of a subject to the learning process and its assessment. Therefore, educational data science cuts through almost all educational technology disciplines. Before we can start applying learning analytics, it is good to have more holistic understanding of learning analytics and its surrounding environment. This chapter describes the field of learning analytics and recent research to give a better overview of the concept.

Keywords

Framework Dimensions Scope 

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Copyright information

© The Author(s) 2020

Authors and Affiliations

  • Roope Jaakonmäki
    • 1
  • Jan vom Brocke
    • 1
  • Stefan Dietze
    • 2
  • Hendrik Drachsler
    • 3
  • Albrecht Fortenbacher
    • 4
  • René Helbig
    • 4
  • Michael Kickmeier-Rust
    • 5
  • Ivana Marenzi
    • 6
  • Angel Suarez
    • 3
  • Haeseon Yun
    • 4
  1. 1.Department of Information SystemsUniversity of LiechtensteinVaduzLiechtenstein
  2. 2.L3S Research CenterUniversity of HannoverHannoverGermany
  3. 3.Welten InstituteOpen University of the NetherlandsHeerlenThe Netherlands
  4. 4.School of Computing, Communication and BusinessHTW BerlinBerlinGermany
  5. 5.KTI - Knowledge Technologies InstituteGraz University of TechnologyGrazAustria
  6. 6.L3S Research CenterLeibniz University of HannoverHannoverGermany

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