BYDŽOVSKÁ, Hana. Towards Freshmen Performance Prediction. Online. In J.G. Boticario, O.C. Santos, C. Romero, M. Pechenizkiy, A. Merceron, P. Mitros, J.M. Luna, C. Mihaescu, P. Moreno, A. Hershkovitz, S. Ventura, M. Desmarais. Proceedings of the 8th International Conference on Educational Data Mining. Madrid: UNED, 2015, s. 602-603. ISBN 978-84-606-9425-0. |
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@inproceedings{1300447, author = {Bydžovská, Hana}, address = {Madrid}, booktitle = {Proceedings of the 8th International Conference on Educational Data Mining}, editor = {J.G. Boticario, O.C. Santos, C. Romero, M. Pechenizkiy, A. Merceron, P. Mitros, J.M. Luna, C. Mihaescu, P. Moreno, A. Hershkovitz, S. Ventura, M. Desmarais}, keywords = {Student Performance; Prediction; Freshmen; Social Network Analysis; Educational Data Mining.}, howpublished = {elektronická verze "online"}, language = {eng}, location = {Madrid}, isbn = {978-84-606-9425-0}, pages = {602-603}, publisher = {UNED}, title = {Towards Freshmen Performance Prediction}, year = {2015} }
TY - JOUR ID - 1300447 AU - Bydžovská, Hana PY - 2015 TI - Towards Freshmen Performance Prediction PB - UNED CY - Madrid SN - 9788460694250 KW - Student Performance KW - Prediction KW - Freshmen KW - Social Network Analysis KW - Educational Data Mining. N2 - In this paper, we deal with freshmen performance prediction. We analyze data from courses offered to students at Faculty of Informatics, Masaryk University. We supposed that the success rate of our predictions increases when we omit freshmen from our experiments as we have no study-related data about them. However, we disproved this hypothesis because there was generally no significant difference in prediction of freshmen and non-freshmen students. We also presented the attributes that were important for freshmen performance prediction. ER -
BYDŽOVSKÁ, Hana. Towards Freshmen Performance Prediction. Online. In J.G. Boticario, O.C. Santos, C. Romero, M. Pechenizkiy, A. Merceron, P. Mitros, J.M. Luna, C. Mihaescu, P. Moreno, A. Hershkovitz, S. Ventura, M. Desmarais. \textit{Proceedings of the 8th International Conference on Educational Data Mining}. Madrid: UNED, 2015, s.~602-603. ISBN~978-84-606-9425-0.
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