Blogs (3) >>

Various instruments exist in the computer science education landscape to measure student attitudes about themselves or the field. We recognize the importance to reevaluate an instrument for a new sample, particularly when that sample oversamples women, and students from historically marginalized groups in computer science. We adapted two instruments from the CS education literature on identity and sense of belonging as part of a larger study exploring undergraduate student pathways and experiences in computer science and tech programs. Several changes were made to these instruments to improve generalizability towards our audience and interpretability of our results. After analyzing the reliability and how well the survey items align with their theorized constructs, we analyzed the difference in computer science identity and belonging by binary gender and race/ethnicity. We found significant differences by binary gender for both identity and belonging, but only found significant differences by race/ethnicity for identity. Our alterations in the instruments have implications for diverse populations.

Fri 22 Mar

Displayed time zone: Pacific Time (US & Canada) change

10:45 - 12:00
Quantitative Approaches to Understanding BPC EffortsPapers at Meeting Rooms B113-114
Chair(s): Paul Tymann Rochester Institute of Technology
10:45
25m
Talk
Evaluating Identity and Belonging in Computer Science Students: Instrument Adaptation and AnalysisGlobalMSI
Papers
Stephanie Werner University of Illinois, Illinois Workforce and Education Research Collaborative (IWERC), Ying Chen University of Illinois, Illinois Workforce and Education Research Collaborative (IWERC)
DOI
11:10
25m
Talk
A Quantitative Methodological Review of Research on Broadening Participation in Computing, 2005-2022MSI
Papers
Linda Sax UCLA, Chantra Nhien Momentum, UCLA School of Education and Information Studies, Kaitlyn N. Stormes Momentum, UCLA School of Education and Information Studies
DOI
11:35
25m
Talk
Does Curricular Complexity in Computer Science Influence the Representation of Women CS Graduates?CER Best PaperGlobal
Papers
Albert Lionelle Khoury College of Computer Sciences, Northeastern University, McKenna Quam Northeastern University, Carla Brodley Northeastern University, Center for Inclusive Computing, Catherine Gill Northeastern University
DOI