运用社会网络分析方法探索医学课程

2015 Federated Conference on Computer Science and Information Systems (FedCSIS) Pub Date : 2015-10-11 DOI:10.15439/2015F312

Martin Vita, M. Komenda, A. Pokorná

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引用次数: 3

摘要

这一贡献展示了如何将社会网络分析的概念应用于教育数据。这种方法的主要目的是更深入地了解课程和/或属于给定课程的其他学习单元的结构，以改进学习过程。所提出的工作可以帮助我们发现相似研究学科的社区(基于其内容的文本描述的相似性度量)，以及识别与其他课程密切相关的重要课程，并使用图论和社会网络分析产生的中心性度量来找到课程中更独立和不太重要的部分。

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Exploring medical curricula using social network analysis methods

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.

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来源期刊

2015 Federated Conference on Computer Science and Information Systems (FedCSIS)

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