OU Analyse is a project piloting machine-learning based methods for early identification of students at risk of failing. All students with their risk of failure are available weekly to the course tutors and the Student Support Teams to consider appropriate support. The overall objective is to significantly improve the retention of OU students.
The two-day event was held at the University of British Columbia, Canada. Over 100 participants dove into our dataset and experimented with it. Interesting projects in the area of social comparison and visualisation have been developed.
The principal aim of Hack@LAK18 was to enable multi-disciplinary thinking over key open challenges in Learning Analytics based on a problem-oriented, pragmatic approach. OULAD was one of the recommended datasets by the organisers.
26 January 2016 - OU Analyse mentioned as the UK's only significant headway in Predictive Analytics
28 July 2015 - OU Analyse was featured on the BBC News website.
24 July 2015 - Predicting at-risk students at the Open University was part of the weekend article in The Financial Times.
30 July 2015 - Times Higher Education mentioned OU Analyse in their weekly overview in academia.