Exploring The Engineering Identity of Female Students in the Selection of Engineering Careers in Higher Education
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Abstract
Women remain underrepresented in engineering—particularly in civil engineering—despite increased enrolment in higher education. This study examines how an engineering identity lens can inform fairer, more effective pre-admission decisions for female applicants. Framing identity through the Godwin/Hazari model—Interest, Recognition, and Performance/Competence (IRP)—and situating learning experiences within Holland’s RIASEC typology (with emphasis on Realistic–Investigative–Conventional, R-I-C), we conducted semi-structured interviews with seven industry and academic experts and applied thematic analysis. Experts affirmed the relevance of R-I-C for engineering task environments and refined these dimensions into five operational attributes suitable for screening candidates who may lack prior project experience: (1) Hands-On Technical Orientation, (2) Analytical & Evidence-Based Reasoning, (3) Standards, Codes & Documentation Discipline, (4) Engineer Self-Concept & Recognition Exchange, and (5) Societal & Sustainable Impact Orientation. These attributes explicitly link typical engineering activities to identity mechanisms that are especially salient for women in male-dominated settings—building early mastery and efficacy (R, I), making professionalism auditable (C), strengthening inclusion via proximal recognition (Self-Concept/Recognition), and aligning purpose with practice (Societal/Sustainable Impact). These propose an identity-informed, diagnostic (not exclusionary) pre-admission instrument based on the five attributes, coupled with structured mentoring and short bridge modules aligned to R-I-C. This integrated approach offers HEIs a practical pathway to surface genuine interest, readiness to learn, and support needs at entry, thereby improving retention and the longer-term representation of women in civil engineering. The study contributes a theory-grounded, practice-ready framework that operationalises engineering identity for selection and early support in higher education.