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APPLYING SOCIAL NETWORK ANALYSIS IN RESEARCHING CLASSROOM CONNECTEDNESS AT THE UNDERGRADUATE LEVEL
Corresponding Author(s) : Nguyen Bao Ngoc
UED Journal of Social Sciences, Humanities and Education,
Vol. 10 No. 2 (2020): UED Journal of Social Sciences, Humanities and Education
Abstract
Connectedness in the classroom is something that has often been mentioned in researches, but it is difficult to imagine what it is specifically. One may wonder whether or not connectedness is related to students’ academic performance. With the use of Social Network Analysis, this article models and measures the connectedness among classmates and its association with their academic performance. The class under study is at the undergraduate level and the research results show that its members have fairly high adhesion and no significant dispersion. Combined with the calculation of Pearson's index (r) in SPSS, the article has arrived at findings which prove to be identical with those of many international studies: the connectedness and the centrality of a student do not correlate with his or her academic performance. The findings of this article not only provide suggestions for classroom organization and extracurricular activities but also reveal new research directions in the field of education in Vietnam via network thinking.
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