Different Statistical Methods in Predicting Student Course Enrollment

Rechkoski, Ljupcho and Mitreski, Zhanko (2017) Different Statistical Methods in Predicting Student Course Enrollment. In: PROCEEDINGS of the 14th Conference on Informatics and Information Technology. Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia, Skopje, Macedonia, pp. 4-9. ISBN 978-608-4699-07-1

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Abstract

Estimating the number of students at each university course is a difficult problem, but somehow it is obvious that one student takes the course acording to his or hers characteristics and capabilities. There are groups of undergraduates whose course enrollment rates are significantly different than the rest of the university population. In this study we analayze the historical enrollment data so we can make some predicion about the future enrollment. The prediction models will be analysed on real data from the last 5 years at FCSE

Item Type: Book Section
Subjects: International Conference on Informatics and Information Technologies > Challenges in education
International Conference on Informatics and Information Technologies > E-Learning
International Conference on Informatics and Information Technologies > E-Educaton
Depositing User: Vangel Ajanovski
Date Deposited: 29 Nov 2017 18:33
Last Modified: 29 Nov 2017 18:33
URI: http://eprints.finki.ukim.mk/id/eprint/11363

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