Governing the ‘datafied’ school: bridging the divergence between universal education and student autonomy

Theresa Henne and Oskar J. Gstrein

Chapter 13 in Handbook on the Politics and Governance of Big Data and Artificial Intelligence, 2023, pp 395-428 from Edward Elgar Publishing

Abstract: Students and teachers find themselves increasingly surrounded by Big Data and AI technologies. Accordingly, vast amounts of data are being collected on the working of the entire school community. This trend--referred to as the ‘datafication’ of education--was pushed immensely during the COVID-19 pandemic. However, already before the necessity to quickly find digital solutions for remote teaching and learning, many scholars were concerned about the privacy and autonomy of the ‘datafied’ student and the corresponding larger effects on public education and democracy as such. In this chapter, we approach the datafication of school education through the lens of data protection and autonomy. We point to the inadequacies in the European data protection framework. In search of other capable legal concepts, we explore the German ‘right to informational self-determination’. We find that the fuzzy realities of school life demand a nuanced governance approach that balances individual control and privacy protection with the interests, needs and visions of the school community.

Keywords: Innovations and Technology; Law - Academic; Politics and Public Policy Sociology and Social Policy (search for similar items in EconPapers)
Date: 2023
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