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22. Learning Analytics im Hochschulkontext – Potenziale aus Sicht von Stakeholdern, Datenschutz und Handlungsempfehlungen

  • 2020
  • OriginalPaper
  • Chapter
Published in:
Author
Dirk Ifenthaler
Published in
Digitale Bildung und Künstliche Intelligenz in Deutschland
Publisher
Springer Fachmedien Wiesbaden

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Zusammenfassung

Seit nahezu einer Dekade werden Learning Analytics im Hochschulkontext als Ansatz zum Verständnis sowie zur Optimierung von Lehr-Lern-Prozessen und Lernumgebungen verwendet. Der Beitrag skizziert zentrale Entwicklungslinien von Learning Analytics und geht auf deren Potenziale sowie damit verbundene Fragen zum Datenschutz ein. Basierend auf einer systematischen Übersichtsarbeit und Stakeholderinterviews werden Handlungsempfehlungen für die Implementation von Learning Analytics an Hochschulen vorgestellt. Der Ausblick diskutiert aktuelle Forschungsdesiderata.

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previous chapter Einsatzmöglichkeiten Künstlicher Intelligenz in der Hochschulbildung – Ausgewählte Ergebnisse eines Systematic Review
next chapter Der multimodale Lern-Hub: Ein Werkzeug zur Erfassung individualisierbarer und sensorgestützter multimodaler Lernerfahrungen
Title
Learning Analytics im Hochschulkontext – Potenziale aus Sicht von Stakeholdern, Datenschutz und Handlungsempfehlungen
Author
Dirk Ifenthaler
Copyright Year
2020
Book
Digitale Bildung und Künstliche Intelligenz in Deutschland

Print ISBN: 978-3-658-30524-6

Electronic ISBN: 978-3-658-30525-3

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-658-30525-3_22
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