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@inproceedings{985903,
author = {Bayer, Jaroslav and Bydžovská, Hana and Géryk, Jan and Obšívač, Tomáš and Popelínský, Lubomír},
address = {Greece},
booktitle = {Proceedings of the 5th International Conference on Educational Data Mining - EDM 2012},
editor = {Kalina Yacef, Osmar Zaïane, Arnon Hershkovitz, Michael Yudelson and John Stamper},
keywords = {data mining; study-related data; social behaviour data; social network analysis},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Greece},
isbn = {978-1-74210-276-4},
pages = {103 - 109},
publisher = {www.educationaldatamining.org},
title = {Predicting drop-out from social behaviour of students},
year = {2012}
}
TY - JOUR
ID - 985903
AU - Bayer, Jaroslav - Bydžovská, Hana - Géryk, Jan - Obšívač, Tomáš - Popelínský, Lubomír
PY - 2012
TI - Predicting drop-out from social behaviour of students
PB - www.educationaldatamining.org
CY - Greece
SN - 9781742102764
KW - data mining
KW - study-related data
KW - social behaviour data
KW - social network analysis
N2 - This paper focuses on predicting drop-out and school failure when student data has been enriched with data derived from students social behaviour. These data describe social dependencies gathered from e-mail and discussion boards conversation, among other sources. We describe an extraction of new features from both student data and behaviour data (or more precisely from social graph which we construct). Then we introduce a novel method for learning classier for student failure prediction that employs cost-sensitive learning to lower the number of incorrectly classified unsuccessful students. We show that a use of social behaviour data results in significant prediction accuracy increase.
ER -
BAYER, Jaroslav, Hana BYDŽOVSKÁ, Jan GÉRYK, Tomáš OBŠÍVAČ a Lubomír POPELÍNSKÝ. Predicting drop-out from social behaviour of students. In Kalina Yacef, Osmar Zaïane, Arnon Hershkovitz, Michael Yudelson and John Stamper. \textit{Proceedings of the 5th International Conference on Educational Data Mining - EDM 2012}. Greece: www.educationaldatamining.org. s.~103 - 109. ISBN~978-1-74210-276-4. 2012.
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