Widespread popular discourse, at the time of writing, is centring on the capabilities of AI technologies, among others, in utilising the readily available mass of data to augment claimed educational problems. These positions often elide the unobjective nature of algorithms and the socio-politically infused assemblages of data available, situated within the neoliberalist scientism dominating educational policy discourse. The simplicity with which datafication treats education has led to a global culture of data-driven techno-rationality that affords ultra-rapid forms of free-floating control settled (...) on an ideology of dataism. Dataism rests on the assumption that sociality and subjectification can be reduced to quantifiable data whereby the student rather than being treated as a subject comes to be treated as data doppelganger. The injustices inherent in datafication and its associated epistemes ignore hidden neoliberal inequalities and maintain the insidious coloniality inherent in advanced capitalism, while simultaneously fuelling the rapid and cyclical stripping of purpose from education itself. There is a need to problematise the hidden logics of coloniality that are both maintained and reproduced within the datafication agenda. The current article draws on decolonial theory to animate the logics of datafication through a Deleuzian reading, situated within the learnification of neoliberal education. (shrink)