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ou analyse project full details

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Champion: Zdenek Zdrahal
Professor of Knowledge Engineering Email Icon Website Icon RDF Icon

Participant(s):Jakub Kuzilek, Martin Hlosta, Drahomira Herrmannova

Similar Projects:RETAIN

Timeline:01 Aug 2013 - 31 Jul 2015

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OU Analyse

The OU Analyse project is piloting new machine learning based methods for early identification of students who are at risk of failing.

A list of such students is communicated weekly to the module and Student Support teams to help them consider appropriate support. The overall objective is to significantly improve the retention of OU students. This is ‘research-led’ as the project builds on previous experience from the Jisc funded Retain in 2010/2011 and the joint OU-Microsoft Research Cambridge project in 2012/2013.

The work is innovative in that it is applying machine learning techniques to two types of data: student demographic data and dynamic data represented by their VLE activities. Records of previous presentations are used to build and validate predictive models, which are then applied to the data of the presentation currently running.

News

27 Mar 2017

Rachel Yarrien


05 Nov 2016

John Domingue


29 Sep 2016

Rachel Yarrien


02 Jul 2016

John Domingue


29 Apr 2016

Martin Hlosta


View all 16 Articles

Publications

Publications | Visit External Site for Details Publications | Visit External Site for Details Publications | doi

Hlosta, M., Zdrahal, Z. and Zendulka, J. (2017) Ouroboros: Early identification of at-risk students without models based on legacy data, Learning Analytics & Knowledge (LAK 17), ACM

Publications | Visit External Site for Details Publications | Visit External Site for Details  

Herrmannova, D., Hlosta, M., Kuzilek, J. and Zdrahal, Z. (2015) Evaluating Weekly Predictions of At-Risk Students at The Open University: Results and Issues, EDEN 2015, Barcelona, Spain

Publications | Download PDF Publications | Visit External Site for Details  

Kuzilek, J., Hlosta, M., Herrmannova, D., Vaclavek, J., Zdrahal, Z. and Wolff, A. (2015) OU Analyse: Analysing At-Risk Students at The Open University, Learning Analytics and Knowledge (LAK15), Learning Analytics Review, LAK15-1, LACE project

Publications | Download PDF Publications | Visit External Site for Details  

Wolff, A., Zdrahal, Z., Herrmannova, D., Kuzilek, J. and Hlosta, M. (2014) Developing predictive models for early detection of at-risk students on distance learning modules, Workshop: Machine Learning and Learning Analytics at Learning Analytics and Knowledge (LAK), Indianapolis

Publications | Download PDF Publications | Visit External Site for Details  

Hlosta, M., Herrmannova, D., Vachova, L., Kuzilek, J., Zdrahal, Z. and Wolff, A. (2014) Modelling student online behaviour in a virtual learning environment, Workshop: Machine Learning and Learning Analytics at Learning Analytics and Knowledge (LAK), Indianapolis

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Jobs

Project Officer - Data Hub Development

Knowledge Media Institute (KMi)
"£32,004 - £38,183"
Based in Milton Keynes
Temporary contract until 30th June 2019

The Open University’s Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM). The unit is looking for a Project...

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