According to the abstract, "This paper provides an overview of privacy and considers the potential contribution contemporary privacy theories can make to learning analytics." I personally consider privacy one of the key issues in learning analytics; anyone can mine a big set of data, but how do you do what when you need permission from each person before continuing? I like the 'broad overview of privacy' diagram and the nuance offered, for example, from Nissenbaum: "a right to privacy is neither a right to secrecy nor a right to control but a right to appropriate flow of personal information." Some of the issues are highlighted in two scenarios illustrating four key parameters of privacy: context, actors, attributes and transmission principles. This paper is from the inaugural issue of the Journal of Learning Analytics.
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