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Student performance prediction in e-learning system and eva..:
, In:
2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)
,
P, Blessy Paul
;
Kurian, Cini
- p. 1-5 , 2023
Link:
https://doi.org/10.1109/AICAPS57044.2023.10074504
RT T1 <cTitle>2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)</cTitle>: T1 <Title>Student performance prediction in e-learning system and evaluating effectiveness of online courses</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10074504&Exemplar=1&LAN=DE A1 P, Blessy Paul A1 Kurian, Cini YR 2023 K1 COVID-19 K1 Electronic learning K1 Pandemics K1 Education K1 Machine learning K1 Predictive models K1 Regression tree analysis K1 Virtual Learning Environment(VLE) K1 Massive Open Online Courses (MOOCs) K1 Learning Management System(LMS) K1 Artificial Neural Networks(ANN) K1 Decision Tree (DT) K1 Classification and Regression Tree (CART) SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/AICAPS57044.2023.10074504 DO https://doi.org/10.1109/AICAPS57044.2023.10074504 SF ELIB - SuUB Bremen
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