What are the risks of Virtual Reality data? Learning Analytics, Algorithmic Bias and a Fantasy of Perfect Data. (March 2023)

• Record Type: Journal Article
• Authors: Carter, Marcus; Egliston, Ben
• Is Part Of: New media & society. Volume 25:Number 3(2023)
• Page Start: 485
• Page End: 504
• Publication Date: 2023-03
• Subjects: Algorithmic bias -- automated decision-making -- data ethics -- datafication -- learning analytics -- virtual reality; Mass media -- Social aspects -- Periodicals; Mass media and culture -- Periodicals; Information technology -- Social aspects -- Periodicals; Internet -- Social aspects -- Periodicals; 302.2305
• DOI: 10.1177/14614448211012794
• Languages: English
• ISSNs: 1461-4448

Abstract

Virtual reality (VR) is an emerging technology with the potential to extract significantly more data about learners and the learning process. In this article, we present an analysis of how VR education technology companies frame, use and analyse this data. We found both an expansion and acceleration of what data are being collected about learners and how these data are being mobilised in potentially discriminatory and problematic ways. Beyond providing evidence for how VR represents an intensification of the datafication of education, we discuss three interrelated critical issues that are specific to VR: the fantasy that VR data is 'perfect', the datafication of soft-skills training, and the commercialisation and commodification of VR data. In the context of the issues identified, we caution the unregulated and uncritical application of learning analytics to the data that are collected from VR training.