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Ethics and Learning Analytics: Charting the (Un)Charted

Prinsloo, Paul and Slade, Sharon (2017). Ethics and Learning Analytics: Charting the (Un)Charted. In: Lang, Charles; Siemens, George; Wise, Alyssa and Gašević, Dragan eds. Handbook of Learning Analytics. SOLAR, pp. 49–57.

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URL: https://solaresearch.org/wp-content/uploads/2017/0...
DOI (Digital Object Identifier) Link: https://doi.org/10.18608/hla17
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Abstract

As the field of learning analytics matures, and discourses surrounding the scope, definition, challenges, and opportunities of learning analytics become more nuanced, there is benefit both in reviewing how far we have come in considering associated ethical issues and in looking ahead. This chapter provides an overview of how our own thinking has developed and maps our journey against broader developments in the field. Against a backdrop of technological advances and increasing concerns around pervasive surveillance and the role and unintended consequences of algorithms, the development of research in learning analytics as an ethical and moral practice provides a rich picture of fears and realities. More importantly, we begin to see ethics and privacy as crucial enablers within learning analytics. The chapter briefly locates ethics in learning analytics in the broader context of the forces shaping higher education and the roles of data and evidence before tracking our personal research journey, highlighting current work in the field, and concluding by mapping future issues for consideration.

Item Type: Book Section
ISBN: 0-9952408-0-9, 978-0-9952408-0-3
Extra Information: Creative Commons licence 4.0
Keywords: Ethics; learning analytics; artificial intelligence; data; big data; students
Academic Unit/School: Faculty of Business and Law (FBL) > Business
Faculty of Business and Law (FBL)
Item ID: 49456
Depositing User: Sharon Slade
Date Deposited: 30 May 2017 15:02
Last Modified: 15 Jun 2020 22:39
URI: http://oro.open.ac.uk/id/eprint/49456
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