Multimodal interactive classroom teaching strategies based on social network analysis Online publication date: Wed, 21-Feb-2024
by Bo Song
International Journal of Networking and Virtual Organisations (IJNVO), Vol. 30, No. 1, 2024
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%.
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