Evaluating Weekly Predictions of At-risk Students at the Open University: Results and Issues

Drahomira Herrmannova
The Open University, United Kingdom
d.herrmannova@gmail.com

Martin Hlosta
The Open University, United Kingdom
hlostak@gmail.com

Jakub Kuzilek
The Open University, United Kingdom
jakub.kuzilek@gmail.com

Zdenek Zdrahal
The Open University, United Kingdom
zdenek.zdrahal@open.ac.uk

Abstract

Improving student retention rates is a critical task not only for traditional universities but particularly in distance learning courses, which are in recent years rapidly gaining in popularity. Early indications of potential student failure enable the tutor to provide the student with appropriate assistance, which might improve the student’s chances of passing the course. Collated results for a course cohort can also assist course teams to identify problem areas in the educational materials and make improvements for future course presentations.

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