The logic of data-sense: Thinking through Learning Personalisation
Thompson, Greg & Cook, Ian (2016) The logic of data-sense: Thinking through Learning Personalisation. Discourse: Studies in the Cultural Politics of Education. (In Press)
Big Data and Learning Analytics’ promise to revolutionise educational institutions, endeavours, and actions through more and better data is now compelling. Multiple, and continually updating, data sets produce a new sense of ‘personalised learning’. A crucial attribute of the datafication, and subsequent profiling, of learner behaviour and engagement is the continual modification of the learning environment to induce greater levels of investment on the parts of each learner. The assumption is that more and better data, gathered faster and fed into ever-updating algorithms, provide more complete tools to understand, and therefore improve, learning experiences through adaptive personalisation. The argument in this paper is that Learning Personalisation names a new logistics of investment as the common ‘sense’ of the school, in which disciplinary education is ‘both disappearing and giving way to frightful continual training, to continual monitoring'.
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|Item Type:||Journal Article|
|Keywords:||Big data, learning analytics, Deleuze, learning, personalisation|
|Divisions:||Current > QUT Faculties and Divisions > Faculty of Education|
|Copyright Owner:||Copyright 2016 Taylor & Francis|
|Deposited On:||15 Mar 2016 01:18|
|Last Modified:||16 Mar 2016 00:34|
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