Construction of an Interactive Network for Teaching Physical Education in a Digital Web Analytics Model

In educational research, more and more scholars recognize the importance of teaching interaction network for learning, and they find that "interaction" is not only the method of learning, but also the learning process itself.Social network analysis provides a new way to study teaching interaction.Through the study of social network analysis, this paper proposes the construction method of teaching interaction network for physical education.In this paper, we take four real physical education courses in L school as the research object to conduct in-depth research, obtain the physical education classroom teaching interaction behavior data, and construct the teaching interaction network.The results of the study show that in the interaction network of the four physical education teaching courses, the teaching behaviors of the community network of physical education classroom 1 are significantly concentrated in B3, B4, B5, and B6, course 2 is concentrated in B4, B5, B6, B9, and B10, the teaching interactive behaviors of physical education classroom 3 are significantly concentrated in B2~B6, and the significant physical education teaching interactive behaviors of course 4 are concentrated in B2, B4, B5, and B6.From the degree-centeredness analysis, there are 33 marginal learners with the number of stored interactions less than or equal to 2 in physical education teaching interactions, which indicates that in this paper's study of physical education teaching interactions, teachers do not pay enough attention to teaching interactions in a comprehensive way.By summarizing the theoretical basis and practical significance of teaching interaction and social network analysis, it proves that the network construction of teaching interaction in this paper is effective, and at the same time, it also provides a new idea for physical education teaching courses.

Publication Details

Journal
Journal of Combinatorial Mathematics and Combinatorial Computing
Published
2025-04-16
DOI
https://doi.org/10.61091/jcmcc127a-234
Primary Topic
Online Learning and Analytics
Type
article
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article

Construction of an Interactive Network for Teaching Physical Education in a Digital Web Analytics Model

Journal of Combinatorial Mathematics and Combinatorial Computing
Online Learning and Analytics
article

Construction of an Interactive Network for Teaching Physical Education in a Digital Web Analytics Model

article en

Abstract

In educational research, more and more scholars recognize the importance of teaching interaction network for learning, and they find that "interaction" is not only the method of learning, but also the learning process itself.Social network analysis provides a new way to study teaching interaction.Through the study of social network analysis, this paper proposes the construction method of teaching interaction network for physical education.In this paper, we take four real physical education courses in L school as the research object to conduct in-depth research, obtain the physical education classroom teaching interaction behavior data, and construct the teaching interaction network.The results of the study show that in the interaction network of the four physical education teaching courses, the teaching behaviors of the community network of physical education classroom 1 are significantly concentrated in B3, B4, B5, and B6, course 2 is concentrated in B4, B5, B6, B9, and B10, the teaching interactive behaviors of physical education classroom 3 are significantly concentrated in B2~B6, and the significant physical education teaching interactive behaviors of course 4 are concentrated in B2, B4, B5, and B6.From the degree-centeredness analysis, there are 33 marginal learners with the number of stored interactions less than or equal to 2 in physical education teaching interactions, which indicates that in this paper's study of physical education teaching interactions, teachers do not pay enough attention to teaching interactions in a comprehensive way.By summarizing the theoretical basis and practical significance of teaching interaction and social network analysis, it proves that the network construction of teaching interaction in this paper is effective, and at the same time, it also provides a new idea for physical education teaching courses.

Journal of Combinatorial Mathematics and Combinatorial ComputingVol. 127a
Quality Education
Openalex Percentile: Top 92%
Online Learning and Analytics
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Construction of an Interactive Network for Teaching Physical Education in a Digital Web Analytics Model · Journal of Combinatorial Mathematics and Combinatorial Computing (2025) | TGRS Research Map | TGRS