Publication Date
In 2025 | 0 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 11 |
Since 2016 (last 10 years) | 17 |
Since 2006 (last 20 years) | 17 |
Descriptor
Source
Author
Publication Type
Reports - Research | 13 |
Journal Articles | 8 |
Dissertations/Theses -… | 4 |
Numerical/Quantitative Data | 1 |
Speeches/Meeting Papers | 1 |
Education Level
High Schools | 17 |
Higher Education | 17 |
Postsecondary Education | 17 |
Secondary Education | 17 |
Grade 9 | 2 |
Junior High Schools | 2 |
Middle Schools | 2 |
Elementary Education | 1 |
Grade 8 | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
High School Longitudinal… | 17 |
SAT (College Admission Test) | 2 |
National Assessment of… | 1 |
What Works Clearinghouse Rating
Kang, Chungseo; Jo, Hyunmyung; Han, Seong Won; Weis, Lois – Journal of Diversity in Higher Education, 2023
Despite growing diversity among Asian Americans, little attention has been given to the diverse experiences and outcomes of Asian American subgroups in science, technology, engineering, and mathematics (STEM) fields. Using a nationally representative data set, High School Longitudinal Study of 2009 (HSLS:09), this study examines Asian American…
Descriptors: Asian American Students, STEM Education, Majors (Students), Longitudinal Studies
Karla Barrow – ProQuest LLC, 2024
Studies have shown that teachers play an important role in the academic success of students (Cherng, 2017; Gershenson, et al.,2016; Ready & Wright, 2011). Scholars have also proposed that teachers may be more inclined to perceive students of color as facing greater challenges in their classes compared to White students in the same course…
Descriptors: Teacher Role, Academic Achievement, Advanced Courses, High School Students
LaTanya L. Dixon; Suzanne M. Dugger; Hsien-Yuan Hsu – Educational Forum, 2024
This study employed design-based logistic regression to examine the extent to which attending a science, technology, engineering, and mathematics (STEM) magnet high school, school demographics, and student-level factors explain a student's intent to declare a STEM major in the first semester of college. The results show only student-level factors…
Descriptors: Magnet Schools, High School Students, Intention, Majors (Students)
Jay Plasman; Desmond Myles – Exceptional Children, 2024
Despite growing calls to increase diversity in science, technology, engineering, and mathematics (STEM) fields, students with learning disabilities (SWLDs) remain underrepresented in STEM at the postsecondary level. Considering this call for increased diversity as a means to expand and strengthen STEM success, we used the High School Longitudinal…
Descriptors: Longitudinal Studies, STEM Education, Career Pathways, Engineering
Trang C. Tran; Jon Williams; Kyndra V. Middleton; Angela Clark-Taylor; Christen Priddie – Association for Institutional Research, 2023
Existing research has studied the underrepresentation of Black, Indigenous and People of Color (BIPOC) students enrolling in and graduating from science, technology, engineering, and mathematics (STEM) fields in college (e.g., Okahana et al., 2018; Rincón & Lane, 2017). However, there is a dearth of research that examines the precollegiate…
Descriptors: Minority Group Students, STEM Education, Majors (Students), Postsecondary Education
Elpus, Kenneth – Journal of Research in Music Education, 2022
This study explored the transition from secondary to postsecondary education among a national sample of students who had or had not studied music in high school. Using evidence from the High School Longitudinal Study of 2009, a nationally representative longitudinal study of 21,440 American high school students who were ninth graders in the…
Descriptors: Music Education, Student Adjustment, High School Students, Longitudinal Studies
Kenton Bentley Woods – ProQuest LLC, 2023
Academic tracking has long been a subject of debate due to its potential impact on educational equity, with students who are tracked highly receiving a higher quality education in comparison to students tracked lowly. These disparities in education quality may be affecting students' outcomes, as it has been demonstrated that the short-term…
Descriptors: Longitudinal Studies, High School Students, Postsecondary Education, Attendance
Jizhi Zhang; Mengyi Li – American Institutes for Research, 2023
Students' academic motivation has been highlighted as one of the most significant and malleable factors that influence their academic behaviors, college major and career choices, and academic performance. The AIR National Assessment of Educational Progress (NAEP) research team has conducted four studies focused on the role of motivation, relating…
Descriptors: Student Motivation, National Competency Tests, Majors (Students), STEM Education
Joseph R. Cimpian; Jo R. King – Grantee Submission, 2024
Men significantly outnumber women in physics, engineering, and computer science (PECS) majors, with a recent male-to-female ratio of approximately 4:1, a stark contrast to the near parity in other science, technology, engineering, and mathematics (STEM) disciplines (1). This gender disparity in PECS carries wide-reaching implications for equity,…
Descriptors: Gender Differences, Physics, Engineering Education, Computer Science Education
Tan, Li; Main, Joyce B.; Darolia, Rajeev – Journal of Engineering Education, 2021
Background: Given the importance of engineers to a nation's economy and potential innovation, it is imperative to encourage more students to consider engineering as a college major. Previous studies have identified a broad range of high school experiences and demographic factors associated with engineering major choice; however, these factors have…
Descriptors: High School Students, Predictor Variables, Majors (Students), Engineering Education
Riegle-Crumb, Catherine; Peng, Menglu – Sociology of Education, 2021
Utilizing the High School Longitudinal Study, a nationally representative sample of U.S. high school students, this study investigates the factors that predict different beliefs about gendered math ability and the potential consequences for students' choices to enter gender-segregated science, technology, engineering, and mathematics (STEM) majors…
Descriptors: High School Students, Adolescents, Beliefs, Gender Issues
Dixon, LaTanya L.; Dugger, Suzanne M.; Hsu, Hsien-Yuan – Grantee Submission, 2020
This study employed design-based logistic regression to examine the extent to which attending a science, technology, engineering, and mathematics (STEM) magnet high school, school demographics, and student-level factors explain racial/ethnic differences in a student's intent to declare a STEM major in the first semester of college. Data were drawn…
Descriptors: Magnet Schools, High School Students, Intention, Majors (Students)
LaTanya L. Dixon; Suzanne M. Digger; Hsien-Yuan Hsu – Grantee Submission, 2020
Without a better understanding of what contributes to racial/ethnic and gender underrepresentation in science, technology, engineering, and mathematics (STEM) fields, many U.S. citizens likely will not be able to take full advantage of the socioeconomic affordances of STEM occupations. Additionally, the increasingly diverse nation will have a STEM…
Descriptors: Gender Differences, Racial Differences, Ethnicity, Disproportionate Representation
Jiang, Su; Simpkins, Sandra D.; Eccles, Jacquelynne S. – Developmental Psychology, 2020
Math and science motivational beliefs are essential in understanding students' science, technology, engineering, and math (STEM) achievement and choices in high school and college. Drawing on the Eccles' expectancy-value theory and Arnett's emerging adulthood framework, this study examined the relations among high school students' motivational…
Descriptors: Student Motivation, STEM Education, Gender Differences, Generational Differences
Kurban, Elizabeth R.; Cabrera, Alberto F. – Journal of Higher Education, 2020
Building on Social Cognitive Career Theory and Xueli Wang's conceptual model of STEM choice, this study advances and tests a model seeking to understand STEM readiness and intention to pursue STEM fields among a representative national sample of 9th grade students drawn from the High School Longitudinal Study of 2009. Structural equation model…
Descriptors: High School Students, Learning Readiness, Majors (Students), Career Choice
Previous Page | Next Page »
Pages: 1 | 2