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@inproceedings{1184671,
author = {Bydžovská, Hana and Popelínský, Lubomír},
address = {Portugal},
booktitle = {Proceedings of the 18th International Database Engineering & Applications Symposium - IDEAS 2014},
editor = {Ana Almeida, Jorge Bernardino, Elsa Ferreira Gomes},
keywords = {Social Network Analysis; Educational Data Mining; Prediction; Information System},
howpublished = {paměťový nosič},
language = {eng},
location = {Portugal},
isbn = {978-1-4503-2627-8},
pages = {374-375},
publisher = {BytePress},
title = {The Influence of Social Data on Student Success Prediction},
year = {2014}
}
TY - JOUR
ID - 1184671
AU - Bydžovská, Hana - Popelínský, Lubomír
PY - 2014
TI - The Influence of Social Data on Student Success Prediction
PB - BytePress
CY - Portugal
SN - 9781450326278
KW - Social Network Analysis
KW - Educational Data Mining
KW - Prediction
KW - Information System
N2 - 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 identification of 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.
ER -
BYDŽOVSKÁ, Hana and Lubomír POPELÍNSKÝ. The Influence of Social Data on Student Success Prediction. In Ana Almeida, Jorge Bernardino, Elsa Ferreira Gomes. \textit{Proceedings of the 18th International Database Engineering \&{} Applications Symposium - IDEAS 2014}. Portugal: BytePress. p.~374-375. ISBN~978-1-4503-2627-8. 2014.
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