BAYER, Jaroslav, Hana BYDŽOVSKÁ, Jan GÉRYK, Tomáš OBŠÍVAČ and Lubomír POPELÍNSKÝ. Predicting drop-out from social behaviour of students. Online. In Kalina Yacef, Osmar Zaïane, Arnon Hershkovitz, Michael Yudelson and John Stamper. Proceedings of the 5th International Conference on Educational Data Mining - EDM 2012. Greece: www.educationaldatamining.org, 2012, p. 103 - 109. ISBN 978-1-74210-276-4. |
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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 and Lubomír POPELÍNSKÝ. Predicting drop-out from social behaviour of students. Online. 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, 2012, p.~103 - 109. ISBN~978-1-74210-276-4.
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