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The logic of data-sense: Thinking through Learning Personalisation
Journal article   Peer reviewed

The logic of data-sense: Thinking through Learning Personalisation

G. Thompson and I. Cook
Discourse: Studies in the Cultural Politics of Education, Vol.38(5), pp.740-754
2017
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Abstract

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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UN Sustainable Development Goals (SDGs)

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#4 Quality Education

Source: InCites

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Collaboration types
Domestic collaboration
Citation topics
6 Social Sciences
6.11 Education & Educational Research
6.11.345 Educational Reform
Web Of Science research areas
Education & Educational Research
ESI research areas
Social Sciences, general
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