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Social network analysis method of teaching constraints and development approach of online courses

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  • Siyue Wang
  • Weisheng Wang

Abstract

In order to overcome the low student participation rate, homework completion rate and course satisfaction existing in the traditional analysis method of online course teaching constraints and development paths, a social network analysis method of teaching constraints and development approach of online courses is proposed. Calculate the network density of social network and the centrality between points, identify the key time points or events that affect the teaching effect of online courses, thus determine the constraints of online course teaching, including technology, resources, educational environment and student factors, and analyse the development path of online course teaching from the aspects of technological innovation and application, updating teaching concepts, optimising course design and management, and strengthening resource integration and sharing. The experimental results show that the average student participation rate is 97.17%, the average homework completion rate is 96.79%, and the course satisfaction is always above 96.6.

Suggested Citation

  • Siyue Wang & Weisheng Wang, 2025. "Social network analysis method of teaching constraints and development approach of online courses," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 32(1/2/3/4), pages 49-69.
    • Handle: RePEc:ids:ijnvor:v:32:y:2025:i:1/2/3/4:p:49-69
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