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Student privacy in learning analytics: An information ethics perspective

Student privacy in learning analytics: An information ethics perspective 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Information Society Taylor & Francis

Student privacy in learning analytics: An information ethics perspective

The Information Society , Volume 32 (2): 17 – Mar 14, 2016
17 pages

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References (77)

Publisher
Taylor & Francis
Copyright
Published with license by Taylor & Francis
ISSN
1087-6537
eISSN
0197-2243
DOI
10.1080/01972243.2016.1130502
Publisher site
See Article on Publisher Site

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.

Journal

The Information SocietyTaylor & Francis

Published: Mar 14, 2016

Keywords: Autonomy; higher education; information ethics; information privacy; learning analytics; student privacy

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