The Influence of Social Data on Student Success Prediction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00075611" target="_blank" >RIV/00216224:14330/14:00075611 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The Influence of Social Data on Student Success Prediction
Original language description
Learning analytics is concerned with collecting, analyzing, and understanding data obtained from students. In this paper, we introduce methods based on data mining and social network analysis to predict a student success. We also focus on identificationof different types of data that can be obtained from university information systems. We discuss their influence on the prediction accuracy. We confirm that data about student social behaviour improve accuracy successfully by 3% for one third of the 62 investigated courses.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LA09016" target="_blank" >LA09016: Czech Republic membership in the European Research Consortium for Informatics and Mathematics (ERCIM)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 18th International Database Engineering & Applications Symposium - IDEAS 2014
ISBN
9781450326278
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
374-375
Publisher name
BytePress
Place of publication
Portugal
Event location
Porto, Portugal
Event date
Jul 7, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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