Exploring Medical Curricula Using Social Network Analysis Methods

被引：1

作者：

Vita, Martin ^{[1
]}

Komenda, Martin ^{[2
]}

Pokorna, Andrea ^{[2
]}

机构：

[1] Masaryk Univ, Fac Informat, NLP Ctr, Bot 68a, Brno 60200, Czech Republic

[2] Masaryk Univ, Fac Med, Inst Biostat & Anal, Brno 62500, Czech Republic

来源：

PROCEEDINGS OF THE 2015 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS | 2015年 / 5卷

关键词：

D O I：

10.15439/2015F312

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：297 / 302

页数：6

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