Student privacy in learning analytics: An information ethics perspective
- 5 February 2016
- journal article
- research article
- Published by Taylor & Francis in The Information Society
- Vol. 32 (2), 143-159
- https://doi.org/10.1080/01972243.2016.1130502
Abstract
Higher education institutions have started using big data analytics tools. By gathering information about students as they navigate information systems, learning analytics employs techniques to understand student behaviors and to improve instructional, curricular, and support resources and learning environments. However, learning analytics presents important moral and policy issues surrounding student privacy. We argue that there are five crucial questions about student privacy that we must address in order to ensure that whatever the laudable goals and gains of learning analytics, they are commensurate with respecting students' privacy and associated rights, including (but not limited to) autonomy interests. We address information access concerns, the intrusive nature of information-gathering practices, whether or not learning analytics is justified given the potential distribution of consequences and benefits, and issues related to student autonomy. Finally, we question whether learning analytics advances the aims of higher education or runs counter to those goals.Keywords
This publication has 17 references indexed in Scilit:
- Learning AnalyticsAmerican Behavioral Scientist, 2013
- THE EPISTEMIC ACCOUNT OF PRIVACYEpisteme, 2013
- Learning AnalyticsAmerican Behavioral Scientist, 2013
- The Particularized Judgment Account of PrivacyRes Publica, 2011
- The Liberal Value of PrivacyLaw and Philosophy, 2010
- A Taxonomy of PrivacyUniversity of Pennsylvania Law Review, 2006
- Security and Liberty: The Image of Balance*Journal of Political Philosophy, 2003
- Civic Education and Liberal LegitimacyEthics, 1998
- Autonomy and benevolent liesThe Journal of Value Inquiry, 1984
- An economic theory of privacyPublished by Cambridge University Press (CUP) ,1984