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Statistical monitoring of student performance: an early warning system

Ayres, K., Biggs, N. and Glaister, P. (2012) Statistical monitoring of student performance: an early warning system. In: HEA-STEM Annual Conference 2012, 12-13 April 2012, Imperial College London.

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Weekly monitoring of profiles of student performances on formative and summative coursework throughout the year can be used to quickly identify those who need additional help, possibly due to acute and sudden-onset problems. Such an early-warning system can help retention, but also assist students in overcoming problems early on, thus helping them fulfil their potential in the long run. We have developed a simple approach for the automatic monitoring of student mark profiles for individual modules, which we intend to trial in the near future. Its ease of implementation means that it can be used for very large cohorts with little additional effort when marks are already collected and recorded on a spreadsheet.

Item Type:Conference or Workshop Item (Paper)
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics
ID Code:27788
Uncontrolled Keywords:Retention, assessment, control charts

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