Future SNA e-learning studies should include a quantitative approach exploiting the statistical power of SNA to explain complex systems¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The review recommends a methodological shift toward quantitative analysis in future work: "Whenever possible, future studies should also include a quantitative approach that exploits the statistical power of SNA to explain complex systems." This follows the review's observation that existing e-learning SNA studies have applied various descriptive methods, and aims to strengthen explanatory power.

Design Implications¶

Context¶

Requirements¶

• Study designs and data that support quantitative statistical analysis of network measures.

Constraints¶

Target Learners¶

• Learners in e-learning environments

Target Learning Goals¶

• Explaining complex e-learning interaction systems quantitatively

Related Strategies¶

• Advance the use of structural-configurational methods such as SNA and ENA toward empirically testable models
• Future SNA e-learning studies should examine two-mode networks and additional communication channels such as chat rooms, wikis, blogs and microblogs

Examples¶

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Key Sources¶

• Cela, K.L., Sicilia, M.Á. & Sánchez, S. (2015). Social Network Analysis in E-Learning Environments: A Preliminary Systematic Review. Educational Psychology Review. https://doi.org/10.1007/s10648-014-9276-0