Creepy Analytics and Learner Data Rights

Beattie, Scott and Woodley, Carolyn and Souter, Kay (2014) Creepy Analytics and Learner Data Rights. In: Australasian Society for Computers in Learning and Tertiary Education (ascilite2014), 23 - 26 November 2015, Dunedin, New Zealand.

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Abstract

Enthusiasm for the potential of learning analytics and big data technologies must be tempered with caution for fundamental learner rights to that data and concern for the ways in which these re-shape the learning environment and the learner-teacher-university relationship. This paper argues that there is a legitimate distrust of 'creepy' analytics that misuse surveillance technologies and that a Charter of Learner Data Rights would be a strong foundation on which to build analytic technologies that are open, personalised, portable, adaptive and engaging for learners.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Learning analytics, learner data rights, privacy, intellectual property, charter of rights
Subjects: Educational technology > Learning analytics
Divisions: Higher education, Universities, Vocational training, Colleges
Depositing User: Dr Michael de Raadt
Date Deposited: 22 Jan 2016 00:45
Last Modified: 22 Jan 2016 00:45
URI: http://research.moodle.org/id/eprint/84

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