Towards Freshmen Performance Prediction

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, p. 602-603. ISBN 978-84-606-9425-0.

Basic information

Original name

Towards Freshmen Performance Prediction

Authors

BYDŽOVSKÁ, Hana (203 Czech Republic, guarantor, belonging to the institution)

Edition

Madrid, Proceedings of the 8th International Conference on Educational Data Mining, p. 602-603, 2 pp. 2015

Publisher

UNED

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Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Spain

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

RIV identification code

RIV/00216224:14330/15:00083047

Organization unit

Faculty of Informatics

ISBN

978-84-606-9425-0

Keywords in English

Student Performance; Prediction; Freshmen; Social Network Analysis; Educational Data Mining.

Tags

International impact, Reviewed

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Abstract

V originále

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.