Research Reports of National Institute of Technology (KOSEN), Kumamoto College
Online ISSN : 2189-8553
Print ISSN : 1884-6734
ISSN-L : 1884-6734
Application of Social Network Analysis to Classroom Management
[in Japanese][in Japanese]
Author information
RESEARCH REPORT / TECHNICAL REPORT FREE ACCESS

2019 Volume 10 Pages 67-70

Details
Abstract

It is important to manage the classes to grasp the relationships of students within the class and to assign appropriate roles. However, long-term observation is necessary to grasp them. In this research, we apply analytical methods of complex networks to social networks inside classes based on data such as human relationships inside the class. More specifically, we seek the centrality of students on the social network and quantitatively grasp the position of social standing within the class of the student. Furthermore, the correlation between the centrality and characteristics such as division activity and subject preference is obtained. Through these methods, we aim to establish a method of acquiring knowledge that can clarify the characteristics of students who are key points in the class and improve the efficiency of class administration. In the experiment, we reconstructed the social network of the class based on the human relations of the class, preference of the subject, questionnaire such as club activity, and requested centralities. Next, correlation coefficients between those centralities and preferences of subjects and activity status of club activities were obtained. As a result, there was a tendency that the participation in the cultural club activity and the centrality of the students whose Japanese subjects, Social studies are good subjects were higher. In the future, it is shown that by increasing the number of samples and increasing the reliability, it is possible to estimate the characteristics that can become the center in the class.

Information related to the author
© 2019 National Institute of Technology (KOSEN), Kumamoto College
Previous article Next article
feedback
Top