Mapping an emergent field of ‘computational education policy’: Policy rationalities, prediction and data in the age of Artificial Intelligence

Abstract

Contemporary education policy involves the integration of novel forms of data and the creation of new data platforms, in addition to the infusion of business principles into school governance networks, and intensification of socio-technical relations. In this paper, we examine how ‘computational rationality’ may be understood as intensifying of an instrumental set of logics in educational governance and decision making, and/or as opening up new explorations around the uncertainty and incompleteness of policy. We suggest that policy rationalities focused on prediction, transparency and data provide the conditions of possibility for Artificial Intelligence to be integrated into, and intensify aspects of, what we term ‘computational education policy’.

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