Detailed Information on Publication Record
2015
Exploring Medical Curricula Using Social Network Analysis Methods
VÍTA, Martin, Martin KOMENDA and Andrea POKORNÁBasic information
Original name
Exploring Medical Curricula Using Social Network Analysis Methods
Authors
VÍTA, Martin (203 Czech Republic, belonging to the institution), Martin KOMENDA (203 Czech Republic, guarantor, belonging to the institution) and Andrea POKORNÁ (203 Czech Republic, belonging to the institution)
Edition
Warsaw, Los Alamitos, Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, p. 297-302, 6 pp. 2015
Publisher
Polskie Towarzystwo Informatyczne, IEEE
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
RIV identification code
RIV/00216224:14110/15:00084515
Organization unit
Faculty of Medicine
ISBN
978-83-60810-66-8
ISSN
UT WoS
000376494300037
Keywords in English
analysis; educational data
Změněno: 2/11/2015 13:22, Ing. Mgr. Věra Pospíšilíková
Abstract
V originále
This contribution demonstrates how to apply concepts of social network analysis on educational data. The main aim of this approach is to provide a deeper insight into the structure of courses and/or other learning units that belong to a given curriculum in order to improve the learning process. The presented work can help us discover communities of similar study disciplines (based on the similarity measures of textual descriptions of their contents), as well as identify important courses strongly linked to others, and also find more independent and less important parts of the curriculum using centrality measures arising from the graph theory and social network analysis.