Technology Course-Taking in High School: Insights for Underrepresented Populations

• In Event: Virtual Poster Session
  In Virtual iPresentation Only: Division H - Section 1: Applied Research in Schools Virtual Poster Session

Abstract

In this study, we used multilevel logistic regressions to examine the impact of student- and school-level characteristics on three different HS course-taking outcomes: (a) any technology course; (b) any CS-focused technology course; and (c) any applied technology course. The analyses reveal that male and Asian students are more likely to enroll in technology courses regardless of type. Positive predictors of enrollment in applied technology courses were being Hispanic and attending a school with higher percentages of economically disadvantaged students. Importantly, even when CS-focused courses were available and MS CS was a requirement, enrollment disparities among underrepresented groups persisted. This suggests that the type of technology course significantly influences enrollment patterns and highlights the complex factors affecting access to CS education.

Authors

• Teresa Garcia Duncan, Deacon Hill Research Associates LLC

• Cynthia L. Blitz, Rutgers University

• Nedim Yel, Data Analysis and Statistical Solutions LLC

• David Joseph Amiel, Rutgers University