Academic Journal

Increasing Hispanic STEM Majors' Persistence to Degree: An Initiative to Harness Family Support.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Increasing Hispanic STEM Majors' Persistence to Degree: An Initiative to Harness Family Support.
Συγγραφείς: Woodcock, Anna, Hernandez, Nadia M., Haddad, Kamel, Hernandez, Paul R.
Πηγή: Journal of Hispanic Higher Education; Jul2026, Vol. 25 Issue 3, p278-302, 25p
Θεματικοί όροι: Family support, Hispanic American students, Utility theory, School dropout prevention, Identity (Psychology), STEM education, Higher education, Student engagement
Abstract (English): A fraction of the highly lucrative scientific, biomedical, and technology workforce is Hispanic. At all levels of scientific training, Hispanic students drop out at higher rates than their White and Asian peers. Hispanic college students often attend local colleges and live with their families. We created and evaluated an initiative based on Balanced Identity Design and Utility-Value theories to leverage families as a powerful resource for supporting Hispanic students' engagement and persistence as STEM majors. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): Una fracción de la fuerza laboral altamente lucrativa en ciencia, biomedicina y tecnología es Hispana. En todos los niveles de formación científica, los estudiantes Hispanos abandonan sus estudios a tasas más altas que sus compañeros Blancos y Asiáticos. Los estudiantes universitarios Hispanos a menudo asisten a instituciones locales y viven con sus familias. Creamos y evaluamos una iniciativa basada en las teorías de Diseño de Identidad Equilibrada y de Valor de Utilidad para aprovechar a las familias como un recurso poderoso en el apoyo al compromiso y la persistencia de los estudiantes hispanos en las carreras STEM. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Hispanic Higher Education is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
Περιγραφή
ISSN:15381927
DOI:10.1177/15381927251392122