Peer Access Supports Community Values: A Social Network Analysis of Computer Science and Engineering Undergraduates

• In Event: Postsecondary Learners in Computing and Engineering Education

Abstract

The Tripartite Integration Model of Social Influence (TIMSI) hypothesizes that scientific self-efficacy, identity, and values are processes which integrate individuals into STEM fields. This study uses social network analyses (SNA), an underutilized tool within educational research, to evaluate how network structures in an undergraduate Computer Science and Engineering course relate to TIMSI processes and persistence intentions. Results revealed students were likely to report similar engineering values as those they were directly connected to within their network. Additionally, positive relationships existed between centrality measures (i.e., closeness) and other TIMSI processes, which ultimately positively predicted persistence intentions. Results have direct implications for pedagogical decisions that foster positive learning environments and promote social influence that lead to STEM undergraduate persistence.

Authors

• Rachelle M. Pedersen, Texas A&M University
  Presenting Author

• Megan Patterson, Texas A&M University
  Non-Presenting Author

• Shawna Thomas, Texas A&M University
  Non-Presenting Author

• Paul R. Hernandez, Texas A&M University
  Non-Presenting Author