Contemporary Privacy Theory Contributions to Learning Analytics

Authors

  • Jennifer Heath University of Wollongong

DOI:

https://doi.org/10.18608/jla.2014.11.8

Keywords:

Learning analytics, privacy theory, privacy, hot spot

Abstract

With the continued adoption of learning analytics in higher education institutions, vast volumes of data are generated and “big data” related issues, including privacy, emerge. Privacy is an ill-defined concept and subject to various interpretations and perspectives, including those of philosophers, lawyers, and information systems specialists. This paper provides an overview of privacy and considers the potential contribution contemporary privacy theories can make to learning analytics. Conclusions reflect on the suitability of these theories towards the advancement of learning analytics and future research considers the importance of hearing the student voice in this space.

Author Biography

Jennifer Heath, University of Wollongong

Dr Jennifer Heath

Business Analyst

Academic Services Division

Downloads

Published

2014-05-01

How to Cite

Heath, J. (2014). Contemporary Privacy Theory Contributions to Learning Analytics. Journal of Learning Analytics, 1(1), 140-149. https://doi.org/10.18608/jla.2014.11.8

Issue

Section

Hot Spot Papers