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Ethical and Privacy Issues in the Design of Learning Analytics Applications

Drachsler, Hendrik; Hoel, Tore; Cooper, Adam; Kismihók, Gábor; Berg, Alan; Scheffel, Maren; Chen, Weiqin and Ferguson, Rebecca (2016). Ethical and Privacy Issues in the Design of Learning Analytics Applications. In: LAK '16: Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, ACM, New York, pp. 492–493.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1145/2883851.2883933
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Abstract

Issues related to Ethics and Privacy have become a major stumbling block in application of Learning Analytics technologies on a large scale. Recently, the learning analytics community at large has more actively addressed the EP4LA issues, and we are now starting to see learning analytics solutions that are designed not only as an afterthought, but also with these issues in mind. The 2nd EP4LA@LAK16 workshop will bring the discussion on ethics and privacy for learning analytics to a the next level, helping to build an agenda for organizational and technical design of LA solutions, addressing the different processes of a learning analytics workflow.

Item Type: Conference or Workshop Item
Copyright Holders: 2016 The Authors
ISBN: 1-4503-4190-X, 978-1-4503-4190-5
Project Funding Details:
Funded Project NameProject IDFunding Body
LACE project619424European Commission Seventh Framework Programme
Keywords: architectures; data sharing; informing policy; interfaces for learning analytics; management of learning interventions or settings; open data and data access for learners
Academic Unit/School: Learning Teaching and Innovation (LTI) > Institute of Educational Technology (IET)
Learning Teaching and Innovation (LTI)
Interdisciplinary Research Centre: Centre for Research in Education and Educational Technology (CREET)
Related URLs:
Item ID: 45317
Depositing User: Rebecca Ferguson
Date Deposited: 15 Feb 2016 10:41
Last Modified: 09 Feb 2017 10:37
URI: http://oro.open.ac.uk/id/eprint/45317
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