ERIC Number: EJ1360454
Record Type: Journal
Publication Date: 2022
Pages: 15
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2332-8584
Available Date: N/A
Social Capital Leveraging Knowledge-Sharing Ties and Learning Performance in Higher Education: Evidence from Social Network Analysis in an Engineering Classroom
Han, Seung-hyun; Oh, Eunjung Grace; Kang, Sung
AERA Open, v8 n1 Jan-Dec 2022
With the growing attention to the effective use of social network analysis in explaining student learning in STEM (science, technology, engineering, and mathematics) education, the authors explore why college students share knowledge and how they achieve their learning in a laboratory class. In particular, the authors investigate how the social capital each student builds influences individual knowledge sharing and its related learning. The authors establish a research model derived from social capital theory that explains the relational, structural, and cognitive capital the class builds. Network data from 120 students in a lab class in a mechanical engineering department in the United States were collected and analyzed to test the research model and hypotheses using the multiple regression quadratic assignment procedure and UCINET. The findings show that the knowledge sharing mechanism and student learning outcomes can be explained in terms of their social capital within social networks. Last, the authors discuss the theoretical and practical implications for college student learning in a laboratory class in STEM education.
Descriptors: Social Capital, Social Networks, Network Analysis, STEM Education, College Students, Laboratory Training, Engineering Education, Cooperative Learning
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
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Data File: URL: https://doi-org.bibliotheek.ehb.be/10.3886/E162741V1
Author Affiliations: N/A