Smart campuses: how big data will transform higher education

Document type
Discussion paper
Author(s)
Sundorph, Emilie; Mosseri-Marlio, William
Publisher
Reform
Date of publication
1 September 2016
Subject(s)
Social Policy, Education and Skills
Collection
Social welfare
Material type
Reports

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Despite the continuing expansion of higher education, universities face a number of serious challenges. The typical student demographic is shrinking, Brexit has created financial uncertainty and the implementation of the Teaching Excellence Framework (TEF) means that institutions failing to “wipe out mediocre teaching and drive up student engagement” could face decreased funding.

With the incentives to improve greater than ever, under-pressure universities should turn to learning analytics. By accessing data on student behaviour and matching it with outcomes, models identifying students at risk of dropping out have been developed, some with an accuracy of 90 per cent; others can even predict intermediate outcomes and recommend resources.

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