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Using Business Intelligence to predict student behaviour

Using Business Intelligence to predict student behaviour

Research centre:
Communication and Computing Research Centre

Date:
2009 - 2015

Understanding student progression and identifying ways to improve the student experience.

As Higher Education funding continues to be reduced, understanding student progression and identifying ways to improve the student experience are vital to the student, institution and state. Finding ways to understand student progression and improve student experience have become integral to a universities corporate plan.

Our understanding of student problems, with regards to student progression and the student experience, initially comes from a number of face-to-face interviews with undergraduate students (at Sheffield Hallam University) and a university wide online survey.

Our research focuses on using Data Warehousing and Data Mining to understand undergraduate student behaviour in relation to achievement and progression.

Any opinions expressed in this profile are those of the author and do not necessarily represent the views of, and should not be attributed to, SAS Software Limited or any of its affiliated companies.

Researchers involved

Richard Wilson - Research student

Dr Paul Crowther - Head of Postgraduate Taught Programmes

Related projects

CUBIST - Your Business Intelligence - Constantly growing amounts of data and an emerging trend of incorporating...

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