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Author(s): Drachsler, Hendrik; Hoel, Tore; Cooper, Adam; Kismihók, Gábor; Berg, Alan; Scheffel, Maren; Chen, Weiqin; Ferguson, Rebecca
Title: Ethical and privacy issues in the design of learning analytics applications
In: Association for Computing Machinery (Hrsg.): Proceedings of the Sixth International Conference on Learning Analytics & Knowledge (LAK '16), Edinburgh, United Kingdom - April 25 - 29, 2016, New York; NY: Association for Computing Machinery, 2016 , S. 492-493
DOI: 10.1145/2883851.2883933
Publication Type: 4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language: Englisch
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. (Orig.)