Adoption of learning analytics


Gibson, David ; Ifenthaler, Dirk



DOI: https://doi.org/10.1007/978-3-030-47392-1_1
URL: https://link.springer.com/chapter/10.1007%2F978-3-...
Document Type: Book chapter
Year of publication: 2020
Book title: Adoption of data analytics in higher education learning an teaching
Page range: 3-20
Publisher: Ifenthaler, Dirk ; Gibson, David
Place of publication: Cham
Publishing house: Springer
ISBN: 978-3-030-47391-4 , 978-3-030-47392-1
Publication language: English
Institution: Business School > Wirtschaftspädagogik V (Ifenthaler 2015-)
Subject: 370 Education
Abstract: Research on adoption of innovations has emerged in the 1960s through focusing on six key characteristics, namely, relative advantage compared to current tools or procedures, compatibility with the pre-existing system, complexity or difficulty to learn, trialability or testability, potential for reinvention and use for unintended purposes and observed effects. In addition, there have been five kinds of people involved in the diffusion of innovation defined as innovators, early adopters, early majority, late majority and laggards. This chapter reflects on the characteristics of an innovation and presents ways on how to improve higher education with the adoption of learning analytics. In addition, different roles in the complex process of adoption of learning analytics in higher education institutions are described. The chapter closes with an outlook toward adoption of learning analytics in higher education institutions.

Dieser Eintrag ist Teil der Universitätsbibliographie.




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