 Evaluation of interactive teaching effectiveness under social network analysisBinBin Yan International Journal of Networking and Virtual Organisations, 2025, vol. 32, issue 1/2/3/4, 21-35 Abstract: In order to effectively improve the accuracy and comprehensiveness of evaluation results, a method for evaluating the effectiveness of online interactive teaching under social network analysis is proposed. Firstly, collect online interactive teaching data and use Pearson correlation coefficient to calculate the correlation coefficient between the data, filtering out indicators significantly related to teaching effectiveness. Secondly, use information entropy to calculate the weight of evaluation indicators. Finally, construct a social network model, measure the node intimacy function, and identify important nodes in the social network to optimise the social network model and more accurately evaluate teaching effectiveness. The experimental results show that the highest accuracy value of the method proposed in this paper is 95%, the highest precision value is 72%, and the highest recall value is 92%, all of which are better than existing methods, fully demonstrating the effectiveness of its teaching effectiveness evaluation. Keywords: social network; interactive teaching; effect evaluation; Pearson correlation coefficient; indicators significantly; node intimacy function. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijnvor:v:32:y:2025:i:1/2/3/4:p:21-35 Access Statistics for this article More articles in International Journal of Networking and Virtual Organisations from Inderscience Enterprises Ltd |
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