Classroom Connections: A Social Network Analysis of STEM Students at a Regional University

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Title: Classroom Connections: A Social Network Analysis of STEM Students at a Regional University
Language: English
Authors: Laura R. Ramsey (ORCID 0000-0001-5713-4526), Wanchunzi Yu, Thomas Kling, Audrey Kling
Source: Journal of College Student Retention: Research, Theory & Practice. 2026 27(4):933-955.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed: Y
Page Count: 23
Publication Date: 2026
Sponsoring Agency: National Science Foundation (NSF), Division of Undergraduate Education (DUE)
Contract Number: 2020765
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: STEM Education, Social Networks, Regional Schools, Majors (Students), College Science, College Mathematics, Peer Relationship, Course Selection (Students), Student Characteristics, Race, Sex, First Generation College Students, Commuting Students, Academic Achievement, Grade Point Average, Graduation Rate, State Universities
Geographic Terms: Massachusetts
DOI: 10.1177/15210251231215787
ISSN: 1521-0251
1541-4167
Abstract: Previous research has established that peer relationships are important for student success, yet little research has examined connections made in the classroom, as opposed to residence life or extracurricular activities. This project utilized social network analysis in two cohorts of science and mathematics majors to investigate the degree to which students take multiple courses with the same peers. Results showed (1) wide variability in student networks, (2) course selection by students included more repeated connections than random course selection, (3) networks did not vary much by demographic variables (gender, race, first-generation status, and income), and (4) student networks significantly predicted graduation and grades. This correlational research provides a foundation for future experimental research testing the causal impact of classroom-based student networks. This research also serves as a model for how other institutions may analyze institutional data to understand patterns of peer connections and course enrollment at their institution.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1494402
Database: ERIC
FullText Text:
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  Data: Classroom Connections: A Social Network Analysis of STEM Students at a Regional University
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  Data: <searchLink fieldCode="AR" term="%22Laura+R%2E+Ramsey%22">Laura R. Ramsey</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-5713-4526">0000-0001-5713-4526</externalLink>)<br /><searchLink fieldCode="AR" term="%22Wanchunzi+Yu%22">Wanchunzi Yu</searchLink><br /><searchLink fieldCode="AR" term="%22Thomas+Kling%22">Thomas Kling</searchLink><br /><searchLink fieldCode="AR" term="%22Audrey+Kling%22">Audrey Kling</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Journal+of+College+Student+Retention%3A+Research%2C+Theory+%26+Practice%22"><i>Journal of College Student Retention: Research, Theory & Practice</i></searchLink>. 2026 27(4):933-955.
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  Data: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
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  Data: Y
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  Data: 23
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  Data: 2026
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  Data: National Science Foundation (NSF), Division of Undergraduate Education (DUE)
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  Data: 2020765
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  Data: <searchLink fieldCode="DE" term="%22STEM+Education%22">STEM Education</searchLink><br /><searchLink fieldCode="DE" term="%22Social+Networks%22">Social Networks</searchLink><br /><searchLink fieldCode="DE" term="%22Regional+Schools%22">Regional Schools</searchLink><br /><searchLink fieldCode="DE" term="%22Majors+%28Students%29%22">Majors (Students)</searchLink><br /><searchLink fieldCode="DE" term="%22College+Science%22">College Science</searchLink><br /><searchLink fieldCode="DE" term="%22College+Mathematics%22">College Mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Peer+Relationship%22">Peer Relationship</searchLink><br /><searchLink fieldCode="DE" term="%22Course+Selection+%28Students%29%22">Course Selection (Students)</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Characteristics%22">Student Characteristics</searchLink><br /><searchLink fieldCode="DE" term="%22Race%22">Race</searchLink><br /><searchLink fieldCode="DE" term="%22Sex%22">Sex</searchLink><br /><searchLink fieldCode="DE" term="%22First+Generation+College+Students%22">First Generation College Students</searchLink><br /><searchLink fieldCode="DE" term="%22Commuting+Students%22">Commuting Students</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+Achievement%22">Academic Achievement</searchLink><br /><searchLink fieldCode="DE" term="%22Grade+Point+Average%22">Grade Point Average</searchLink><br /><searchLink fieldCode="DE" term="%22Graduation+Rate%22">Graduation Rate</searchLink><br /><searchLink fieldCode="DE" term="%22State+Universities%22">State Universities</searchLink>
– Name: Subject
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Massachusetts%22">Massachusetts</searchLink>
– Name: DOI
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  Data: 10.1177/15210251231215787
– Name: ISSN
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  Data: 1521-0251<br />1541-4167
– Name: Abstract
  Label: Abstract
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  Data: Previous research has established that peer relationships are important for student success, yet little research has examined connections made in the classroom, as opposed to residence life or extracurricular activities. This project utilized social network analysis in two cohorts of science and mathematics majors to investigate the degree to which students take multiple courses with the same peers. Results showed (1) wide variability in student networks, (2) course selection by students included more repeated connections than random course selection, (3) networks did not vary much by demographic variables (gender, race, first-generation status, and income), and (4) student networks significantly predicted graduation and grades. This correlational research provides a foundation for future experimental research testing the causal impact of classroom-based student networks. This research also serves as a model for how other institutions may analyze institutional data to understand patterns of peer connections and course enrollment at their institution.
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  Data: As Provided
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  Data: 2026
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  Label: Accession Number
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  Data: EJ1494402
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        Value: 10.1177/15210251231215787
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      – Text: English
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        PageCount: 23
        StartPage: 933
    Subjects:
      – SubjectFull: STEM Education
        Type: general
      – SubjectFull: Social Networks
        Type: general
      – SubjectFull: Regional Schools
        Type: general
      – SubjectFull: Majors (Students)
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      – SubjectFull: College Science
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      – SubjectFull: College Mathematics
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      – SubjectFull: Peer Relationship
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      – SubjectFull: Course Selection (Students)
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      – SubjectFull: Student Characteristics
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      – SubjectFull: Race
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      – SubjectFull: Sex
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      – SubjectFull: First Generation College Students
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      – SubjectFull: Commuting Students
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      – SubjectFull: Academic Achievement
        Type: general
      – SubjectFull: Grade Point Average
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      – SubjectFull: Graduation Rate
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      – SubjectFull: State Universities
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      – SubjectFull: Massachusetts
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    Titles:
      – TitleFull: Classroom Connections: A Social Network Analysis of STEM Students at a Regional University
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