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Factors influencing the teaching quality of online open courses in colleges and universities based on social network analysis

Ying Zhou & L Zhang

International Journal of Knowledge-Based Development2025https://doi.org/10.1504/ijkbd.2025.151404article
AJG 1
Weight
0.50

What the paper says

In order to enhance the standard of educational delivery in open online educational offerings at higher education institutions social network analysis (SNA) is introduced to carry out an Investigation into the factors that impact educational instruction quality of open online educational offerings at higher education institutions. Firstly, the elements that influence the teaching standard of college open digital coursework are analysed, the relevant hypotheses are put forward, the conceptual model of the factors influencing educational excellence in college accessible online learning opportunities is constructed, and then the questionnaire is designed to demonstrate the hypotheses. The empirical results show that the rapport between educators and learners, network cohesive subgroups and network density have a significant impact on the teaching standard of college open online educational offerings at institutions of higher learning, namely colleges and universities can improve the teaching quality of online open courses by optimising the network structure, expanding the network scale, and promoting the interaction and communication among users.

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https://doi.org/https://doi.org/10.1504/ijkbd.2025.151404

Or copy a formatted citation

@article{ying2025,
  title        = {{Factors influencing the teaching quality of online open courses in colleges and universities based on social network analysis}},
  author       = {Ying Zhou & L Zhang},
  journal      = {International Journal of Knowledge-Based Development},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijkbd.2025.151404},
}

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Factors influencing the teaching quality of online open courses in colleges and universities based on social network analysis

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.