[publication] De-Identification in Learning Analytics #LA #research
Posted by Martin Ebner on July 8 2016 at 3:28 a.m.
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Our publication about „De-Identification in Learning Analytics“ got published in the http://epress.lib.uts.edu.au/journals/index.php/JLA/index" target="_blank">Journal of Learning Analytics.
Abstract:
Learning Analytics has reserved its position as an important field in the educational sector. However, the large-scale collection, processing and analyzing of data have steered the wheel beyond the border lines and faced an abundance of ethical breaches and constraints. Revealing learners’ personal information and attitudes, as well as their activities, are major aspects that lead to personally identify individuals. Yet, de-identification can keep the process of Learning Analytics in progress while reducing the risk of inadvertent disclosure of learners’ identities. In this paper, the authors talk about de-identification methods in the context of learning environment and propose a first prototype conceptual approach that describes the combination of anonymization strategies and Learning Analytics techniques.
[href="https://www.researchgate.net/publication/301600407_De-Identification_in_Learning_Analytics" target="_blank">Full Paper @ ResearchGate]
[http://epress.lib.uts.edu.au/journals/index.php/JLA/article/view/4519" target="_blank">Full Paper @ Journal’s Homepage]
Reference: Khalil, M. & Ebner, M. (2016) De-Identification in Learning Analytics. Journal of Learning Analytics. 3(1). pp. 129 – 138
Original Post: http://elearningblog.tugraz.at/archives/8850
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The publication on "De-Identification in Learning Analytics" sheds light on the crucial issue of safeguarding learner privacy in the ever-expanding field of Learning Analytics. As this field continues to grow, the risks of ethical breaches and the inadvertent disclosure of personal information loom large. The proposed conceptual approach, combining anonymization strategies and Learning Analytics techniques, offers a promising path to address these concerns. For those interested in exploring innovative approaches to data privacy, download Avatar World today (https://www.emulatorpc.com/avatar-world/). If you prefer a different kind of mental challenge, don't miss out on the captivating Tiny Room Stories Town Mystery. https://games.lol/tiny-room-stories/
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