Digital analytics in professional work and learning


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Dono: Marcos Pedroso

Versão: 1.0

Última Atualiz.: 08-11-2018 14:04


In a wide range of fields, professional practice is being transformed
by the increasing influence of digital analytics: the massive volumes
of big data, and software algorithms that are collecting, comparing
and calculating that data to make predictions and even decisions.
Researchers in a number of social sciences have been calling
attention to the far-reaching and accelerating consequences of
these forces, claiming that many professionals, researchers, policymakers
and the public are just beginning to realise the enormous
potentials and challenges these analytics are producing. Yet,
outside of particular areas of research and practice, such as
learning analytics, there has been little discussion of this to date
in the broader education literature. This article aims to set out
some key issues particularly relevant to the understandings of
professional practice, knowledge and learning posed by the
linkages of big data and software code. It begins by outlining
definitions, forms and examples of these analytics, their
potentialities and some of the hidden impact, and then presents
issues for researchers and educators. It seeks to contribute to and
extend debates taking place in certain quarters to a broader
professional education and work audience.

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