Title: Multimodal interactive classroom teaching strategies based on social network analysis

Authors: Bo Song

Addresses: School of Arts, HuangShan University, Huangshan, 245041, China

Abstract: In order to improve students' academic performance and satisfaction with teaching strategies, a multimodal interactive classroom teaching strategy based on social network analysis is proposed. Firstly, based on the principles of social network analysis methods, clustering of learners is completed by weighting the similarity of features between learners. Secondly, mining the learning text data of learners. Finally, based on the excavated learner data, a comprehensive understanding of the learner's learning status and needs can be obtained. Starting from multiple aspects such as visual, auditory, hands-on, social, and gamification, a multimodal interactive teaching strategy can be constructed. The example analysis results show that the teaching strategy studied can improve students' academic performance, with a maximum average score of 95 points. Moreover, students have a high degree of satisfaction with the research teaching measurement, with an average satisfaction rate of over 95%.

Keywords: social network analysis; SNA; multimodal interactive classroom; teaching strategies; learning text data.

DOI: 10.1504/IJNVO.2024.136777

International Journal of Networking and Virtual Organisations, 2024 Vol.30 No.1, pp.70 - 81

Received: 19 Jun 2023
Accepted: 30 Oct 2023
Published online: 21 Feb 2024 *

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