Social Interaction and Academic Performance of Construction Management Students

Autor/in	Nguyen, Bao Ngoc
Titel	Social Interaction and Academic Performance of Construction Management Students
Quelle	2 (2021) 3, S.377-387 (11 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Nguyen, Bao Ngoc)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2723-746X
Schlagwörter	Construction Management; Construction Industry; Social Networks; Academic Achievement; Visual Aids; Network Analysis; Outcomes of Education; Measurement; Correlation; Peer Relationship; Undergraduate Students; Case Studies; Interpersonal Relationship; Rating Scales; Friendship; State Universities; Student Attitudes; Foreign Countries; Vietnam + Suchen Sie Ihr Suchwort? Baugewerbe; Social network; Soziales Netzwerk; Schulleistung; Anschauungsmaterial; Netzplantechnik; Lernleistung; Schulerfolg; Messverfahren; Korrelation; Peer-Beziehungen; Case study; Fallstudie; Case Study; Interpersonal relation; Interpersonal relations; Interpersonelle Beziehung; Zwischenmenschliche Beziehung; Rating-Skala; Freundschaft; Staatliche Universität; Schülerverhalten; Ausland
Abstract	Social interaction between students is a crucial but under-researched part of the education realm. Understanding how connections form in university classes and their effects on learning outcomes may provide extraordinary knowledge for researchers, educators, and policy-makers. This paper collected data from the questionnaire survey and then processed them with Gephi software to produce visualization and measurement. Initial results seem to indicate a significant correlation between students' connectedness and academic performance in one class. However, in another class, the results show a contrasting situation as there is no evidence that social network attributes impact learning performance. Taken together, these results would seem to suggest that the characteristics of the network should be judged on a case-by-case basis, and large-scale SNA analyses have been rarely reported. This present study provides a springboard for a new way to shed some light on classmates' interconnection. Using a similar approach to this article, it is believed that there is ample opportunity to study the association between classmate connectedness and career success. Research techniques and approaches around Social Network Analysis are expected to evolve further in the foreseeable future. (As Provided).
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01