2025 ASEE Annual Conference & Exposition

Self-Selection Bias of P-12 Engineering & Computing Activities for Female Pre-College Pupils (Fundamental Research, Diversity)

Presented at Pre-College Engineering Education Division (PCEE) Technical Session 20

Despite targeted interventions, female enrollment in engineering and computer science programs at German universities remains low. To address this disparity, P-12 engineering and computing activities, grounded in Bandura’s self-efficacy framework, have been implemented at Hochschule Bonn-Rhein-Sieg, University of Applied Sciences, Germany to empower female pre-college pupils through mastery experiences, vicarious learning, and stereotype reduction. However, longitudinal evaluations of these programs revealed minimal improvements in self-efficacy and STEM-related gender stereotypes, as participants already exhibited high baseline values in these domains prior to engagement. This study investigates whether a self-selection bias exists among participants, hypothesizing that female pupils who voluntarily enroll in such activities differ systematically from the broader population in factors influencing STEM career choices. A comparative analysis was conducted between n = 38 P-12 participants (aged 10–13) and n = 19 demographically age-matched independent female pupils from a local school. Surveys assessed engineering & computing self-efficacy, STEM-related gender stereotypes, general technology interest, school self-efficacy, personal importance of school subjects, and role-model access. Results revealed significant medium-effect differences: P-12 participants demonstrated higher engineering self-efficacy (d = 0.68), weaker gender stereotypes favoring boys in technology (d = 0.66), and greater interest in technology (d = 0.73) compared to the school sample. Additionally, P-12 participants rated their academic competence in and personal importance of school subjects higher, despite similar role-model exposure. These findings confirm a self-selection bias, suggesting that existing recruitment strategies attract pupils already predisposed to STEM. This limits the generalizability of program outcomes and underscores the need for revised outreach to engage underrepresented groups. Practical implications include redesigning recruitment to target pupils with lower self-efficacy and stronger stereotypes.

Authors
  1. Michael M. Malschützky Orcid 16x16http://orcid.org/0000-0001-5328-1529 Hochschule Bonn-Rhein-Sieg, University of Applied Sciences, Germany [biography]
  2. Gesche Neusel Bonn-Rhein-Sieg University of Applied Sciences [biography]
  3. Steven McAlpine University of Maryland Baltimore County [biography]
  4. Dr. Jamie R Gurganus University of Maryland Baltimore County [biography]
Note

The full paper will be available to logged in and registered conference attendees once the conference starts on June 22, 2025, and to all visitors after the conference ends on June 25, 2025

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