2015
Towards Freshmen Performance Prediction
BYDŽOVSKÁ, HanaBasic 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
Other information
Language
English
Type of outcome
Proceedings paper
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Spain
Confidentiality degree
is not subject to a state or trade secret
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
Changed: 30/6/2015 15:11, RNDr. Hana Bydžovská, Ph.D.
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.