Using Social Network Analysis in eLearning

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TOOFANINEJAD EHSAN; Banihashem Seyyed Kazem

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2020 | Issue:6

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Title

Using Social Network Analysis in eLearning

Author(s)

TOOFANINEJAD EHSAN | Banihashem Seyyed Kazem

Keywords

Social network analysis

SNA

Learning analytics

eLearning

Learning networks

Interaction patterns

Abstract

Increasing and ease of access to big data have led to new developments in e-learning and increased attention and research in the field of Learning analytics. The purpose of this research is to introduce The Social network analysis (SNA) method as one of the new applications of Learning analytics for detecting Learning networks in e-learning environments. This study discusses the importance of Social network analysis and its definition, then introduces its applications in different domains, followed by analytical methods and evaluation criteria in Social network analysis. The research results show that because of the achievements of multi-disciplines like mathematics, sociology, computer science and education, Social network analysis is an interdisciplinary and high-performance domain for studying and demonstrating communication patterns that have never been easier to use. For this reason, it requires communities of professionals with different disciplines.

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APA: Copy

TOOFANINEJAD, EHSAN, & Banihashem, Seyyed Kazem. (2020). Using Social Network Analysis in eLearning. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949279/en

Vancouver: Copy

TOOFANINEJAD EHSAN, Banihashem Seyyed Kazem. Using Social Network Analysis in eLearning. 2020. Available from: https://sid.ir/paper/949279/en

IEEE: Copy

EHSAN TOOFANINEJAD, and Seyyed Kazem Banihashem, “Using Social Network Analysis in eLearning,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2020, [Online]. Available: https://sid.ir/paper/949279/en

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