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University of the Arts London

Vol. 2 No. 2 (2017)
'Designs on e-Learning: Anxiety and Security' Special Issue

Research Papers

Exploring student control over data privacy through speculative design

Published 2017-05-22

  • Michael Madaio

Michael Madaio
Carnegie Mellon University

Abstract

Higher education institutions face a number of questions about the data they gather from students and how it will be used in the future. Between commercial incentives for collecting student data and anxieties about the privacy and security of that data, lies the intentional sharing exemplified by the ‘Quantified Self’ movement, when users voluntarily provide information for personal development. Though there are risks to making student data available to third-party service providers, students could benefit from advanced learning analytics that personalise their educational experience. This research paper describes how designers of educational technologies can use ‘speculative design’ as an approach to exploring these possibilities, enabling positive future potentials that enable students to control the data they share. 

Keywords

Speculative Design, student data privacy, learning analytics

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Author Biography

Michael Madaio

PhD student, Human-Computer Interaction Institute

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