OU Analyse: Analysing At-Risk Students at The Open University

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

OU Analyse: Analysing At-Risk Students at The Open University

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

OU Analyse: Analysing At-Risk Students at The Open University

Popis výsledku anglicky

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.

Druh

O - Ostatní výsledky

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů