Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research on Sports Morality of Young School Children Based on Social Network Analysis

Download as PDF

DOI: 10.23977/appep.2022.030506 | Downloads: 14 | Views: 457

Author(s)

Huijian Deng 1, Zheng Luo 1, Jingen Tang 1

Affiliation(s)

1 College of Physical Education, Hunan Institute of Science and Technology, Yueyang, Hunan, 414000, China

Corresponding Author

Huijian Deng

ABSTRACT

In order to thoroughly implement the “double reduction” policy, achieve moral education, and promote the overall development of teenagers, based on social network analysis and questionnaire method, this study profoundly understands that the situation of young school children's sports morality is not ideal in general; young school children's social preference network structure is more concentrated, and the centralization is higher, and it shows that middle school students in the network center have stronger ability to control and influence the whole network. At the same time, using the Moran’s I, we find a positive, moderate and significant correlation between the students with similar influence and the students with similar sports morality scores in the social preference network of primary and middle school students. The research perspective of the social network provides a new field of vision for the study of primary and middle school students' behavior attributes. It provides a scientific basis for the intervention of physical education.

KEYWORDS

Physical education classroom, Sports moral character, Social network analysis, Social preference

CITE THIS PAPER

Huijian Deng, Zheng Luo, Jingen Tang, Research on Sports Morality of Young School Children Based on Social Network Analysis. Applied & Educational Psychology (2022) Vol. 3: 45-51. DOI: http://dx.doi.org/10.23977/appep.2022.030506.

REFERENCES

[1] Emirbayer, M., & Goodwin, J. (1994). Network analysis, culture, and the problem of agency. American journal of sociology, 6, 1411-1454.
[2] Liu, J. (2018). Lectures on Whole Network analysis: A Practical Guide to UCINET Software: Lectures on Whole Network Approach: A Practical guide to UCINET. Gezhi Shanghai People's Publishing House, 1, 1-2.
[3] Liu, Y., Wei, B., Du, Y., et al. (2016). Identifying influential spreaders by weight degree centrality in complex networks. Chaos, Solitons & Fractals, 86, 1-7.
[4] Sijtsema, J. J., Veenstra, R., Lindenberg, S., et al. (2009). Empirical test of bullies' status goals: Assessing direct goals, aggression, and prestige. Aggressive Behavior: Official Journal of the International Society for Research on Aggression, 1, 57-67.
[5] Tang, L. J., & CAI, H. (2019). Research on the construction of Chinese youth sports morality evaluation index system based on “Moral Education and Human Cultivation”. Journal of Wuhan university of physical education, 10, 75-80.
[6] Karlovčec, M., Krnc, M., & Škrekovski, R. (2022). Evaluating group degree centrality and centralization in networks. Informatica, 5, 85–94.
[7] Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American journal of theoretical and applied statistics, 1, 1-4.
[8] Dong, P., & Yu, S. M. (2022). Five Education integration Oriented Physical Education classroom teaching: Connotation determination, strategy exploration and error avoidance. Journal of Physical Education Research, 02, 103-110.
[9] Harris, J. R. (1995). Where Is the Child's Environment? A Group Socialization Theory of Development. Psychological Review, 3, 458-489.

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.