Analysing Student VLE Behaviour Intensity and Performance
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00333394" target="_blank" >RIV/68407700:21230/19:00333394 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/19:00333394 RIV/00216208:11410/19:10398703
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-29736-7_45" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-29736-7_45</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-29736-7_45" target="_blank" >10.1007/978-3-030-29736-7_45</a>
Alternative languages
Result language
angličtina
Original language name
Analysing Student VLE Behaviour Intensity and Performance
Original language description
Almost all higher educational institutions use Virtual Learning Environments (VLE) for the delivery of educational content to the students. Those systems collect information about student behaviour, and university can take advantage of analysing such data to model and predict student outcomes. Our work aims at discovering whether there exists a direct connection between the intensity of VLE behaviour represented as recorded student activities and their study outcomes and analyse how intense this connection is. For that purpose, we employed the clustering method to divide students into so-called VLE intensity groups and compared formed groups (clusters) with the student outcomes in the course. Our analysis has been performed using Open University Learning Analytics dataset (OULAD).
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GJ18-04150Y" target="_blank" >GJ18-04150Y: Predictive modeling of student performance using learning resources</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Transforming Learning with Meaningful Technologies
ISBN
978-3-030-29735-0
ISSN
0302-9743
e-ISSN
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Number of pages
4
Pages from-to
587-590
Publisher name
Springer
Place of publication
Cham
Event location
Delft
Event date
Sep 16, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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