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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 a 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, 2014, s.~374-375. ISBN~978-1-4503-2627-8.
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