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Title: Ethical and Privacy Issues in the Design of Learning Analytics Applications
Authors: Drachsler, Hendrik
Hoel, Tore
Cooper, Adam
Kismihok, Gabor
Berg, Alan
Scheffel, Maren
Chen, Weiqin
Ferguson, Rebecca
Keywords: learning analytics
legal rights
data ownership
Issue Date: 2016
Publisher: ACM
Citation: Drachsler, H., Hoel, T., Cooper, A., Kismihok, G., Berg, Al., Scheffel, M., Chen, W., & Ferguson, R. (2016). Ethical and privacy issues in the design of learning analytics applications. In Proceedings of the Sixth International Conference on Learning Analytics and Knowledge (LAK’16) (pp. 492–493). New York, NY, USA: ACM. doi: 10.1145/2883851.2883933
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.
Appears in Collections:1. TELI Publications, books and conference papers

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