| 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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