OU Analyse: Analysing At-Risk Students at The Open University
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F15%3A00234971" target="_blank" >RIV/68407700:21730/15:00234971 - isvavai.cz</a>
Result on the web
<a href="http://www.laceproject.eu/publications/analysing-at-risk-students-at-open-university.pdf" target="_blank" >http://www.laceproject.eu/publications/analysing-at-risk-students-at-open-university.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
OU Analyse: Analysing At-Risk Students at The Open University
Original language description
The OU Analyse project aims at providing early prediction of at-risk students based on their demographic data and their interaction with Virtual Learning Environment. Four predictive models have been constructed from legacy data using machine learning methods. In Spring 2014 the approach was piloted and evaluated on two introductory university courses with about 1,500 and 3,000 students, respectively. Since October 2014 the predictions have been extended to include 10+ courses of different level. The OUAnalyse dashboard has been implemented, for presenting predictions and providing a course overview and a view of individual students.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů