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Mapping responsible learning analytics: a critical proposal

Prinsloo, Paul and Slade, Sharon (2018). Mapping responsible learning analytics: a critical proposal. In: Khan, Badrul H.; Corbeil, Joseph Rene and Corbeil, Maria Elena eds. Responsible Analytics & Data Mining in Education: Global Perspectives on Quality, Support, and Decision-Making. Routledge.

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Abstract

In this chapter, we examine the notion of responsible learning analytics. Such an approach requires institutions to take an answerable and response-able approach to using student data. Learning analytics, like all educational technology, is shaped by a range of social, political, economic and cultural agendas. As such, this chapter argues that ethical and responsible learning analytics is central to a consideration of each of the eight dimensions of Khan’s e-learning framework (Khan, 2010). The chapter concludes by suggesting a number of pointers for higher education institutions to ensure the adoption of a responsible and responsive approach to learning analytics.

Item Type: Book Section
Copyright Holders: 2019 Routledge
ISBN: 1-138-30590-1, 978-1-138-30590-8
Keywords: learning analytics; ethics; ethical; responsible learning
Academic Unit/School: Faculty of Business and Law (FBL) > Business
Faculty of Business and Law (FBL)
Item ID: 55827
Depositing User: Sharon Slade
Date Deposited: 18 Jul 2018 15:32
Last Modified: 07 Dec 2018 21:47
URI: http://oro.open.ac.uk/id/eprint/55827
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