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Learning Analytics: From Theory to Practice – Data Support for Learning and Teaching

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Computer Assisted Assessment. Research into E-Assessment (CAA 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 439))

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Abstract

Much has been written lately about the potential of Learning Analytics for improving learning and teaching. Nevertheless, most of the contributions to date are concentrating on the abstract theoretical or algorithmic level, or, deal with academic efficiencies like teachers’ grading habits. This paper wants to focus on the value that Learning Analytics brings to pedagogic interventions and feedback for reflection. We first analyse what Learning Analytics has to offer in this respect, and, then, present a practical use case of applied Learning Analytics for didactic support in primary school Arithmetic.

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Greller, W., Ebner, M., Schön, M. (2014). Learning Analytics: From Theory to Practice – Data Support for Learning and Teaching. In: Kalz, M., Ras, E. (eds) Computer Assisted Assessment. Research into E-Assessment. CAA 2014. Communications in Computer and Information Science, vol 439. Springer, Cham. https://doi.org/10.1007/978-3-319-08657-6_8

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  • DOI: https://doi.org/10.1007/978-3-319-08657-6_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08656-9

  • Online ISBN: 978-3-319-08657-6

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