Social network analysis for technology-enhanced learning: review and future directions

被引：22

作者：

Sie, Rory L. L. ^{[1
]}

Ullmann, Thomas Daniel ^{[2
]}

Rajagopal, Kamakshi ^{[1
]}

Cela, Karina ^{[3
]}

Bitter-Rijpkema, Marlies ^{[1
]}

Sloep, Peter B. ^{[1
]}

机构：

[1] Open Univ Netherlands, POB 2960, NL-6401 DL Heerlen, Netherlands

[2] Open Univ, Knowledge Media Inst, Milton Keynes MK7 6AA, Bucks, England

[3] Univ Alcala, Madrid 28801, Spain

来源：

INTERNATIONAL JOURNAL OF TECHNOLOGY ENHANCED LEARNING | 2012年 / 4卷 / 3-4期

关键词：

social network analysis; technology-enhanced learning; social learning; literature review; roadmap;

D O I：

10.1504/IJTEL.2012.051582

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

By nature, learning is social. The interactions by which we learn from others inherently form a network of relationships among people, but also between people and resources. This paper gives an overview of the potential social network analysis (SNA) may have for social learning. It starts with an overview of the history of social learning and how SNA may be of value. The core of the paper outlines the state-of-art of SNA for technology-enhanced learning (TEL), by means of four possible types of SNA applications: visualisation, analysis, simulation, and interventions. In an outlook, future directions of SNA research for TEL are provided.

引用

页码：172 / 190

页数：19

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