Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 4 |
Descriptor
Author
Allen, Carrie | 1 |
Gansemer-Topf, Ann M. | 1 |
Garland, Marshall W. | 1 |
George-Jackson, Casey | 1 |
Kollasch, Aurelia | 1 |
Lichtenberger, Eric | 1 |
Lynch, Sharon | 1 |
Means, Barbara | 1 |
Peters, Vanessa | 1 |
Sun, Jie | 1 |
Wang, Haiwen | 1 |
More ▼ |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Reports - Evaluative | 1 |
Tests/Questionnaires | 1 |
Education Level
High Schools | 4 |
Secondary Education | 3 |
Higher Education | 2 |
Postsecondary Education | 2 |
Audience
Location
North Carolina | 1 |
Texas | 1 |
Texas (Austin) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
ACT Assessment | 4 |
SAT (College Admission Test) | 1 |
What Works Clearinghouse Rating
Gansemer-Topf, Ann M.; Kollasch, Aurelia; Sun, Jie – Journal of College Student Retention: Research, Theory & Practice, 2017
Improving student persistence, especially in science, technology, engineering, and mathematics (STEM) fields, continues to be at the forefront of national educational policy discussions. Living in university housing, with its focus specifically on assisting students in transition, has consistently been positively related to student persistence.…
Descriptors: STEM Education, Academic Persistence, On Campus Students, College Freshmen
Means, Barbara; Wang, Haiwen; Wei, Xin; Lynch, Sharon; Peters, Vanessa; Young, Viki; Allen, Carrie – Science Education, 2017
Inclusive STEM high schools (ISHSs) (where STEM is science, technology, engineering, and mathematics) admit students on the basis of interest rather than competitive examination. This study examines the central assumption behind these schools--that they provide students from subgroups underrepresented in STEM with experiences that equip them…
Descriptors: STEM Education, High Schools, High School Students, Hierarchical Linear Modeling
Lichtenberger, Eric; George-Jackson, Casey – Journal of Career and Technical Education, 2013
This study examined how various individual, family, and school level contextual factors impact the likelihood of planning to major in one of the science, technology, engineering, or mathematics (STEM) fields for high school students. A binary logistic regression model was developed to determine the extent to which each of the covariates helped to…
Descriptors: High School Students, Student Interests, Majors (Students), STEM Education
Garland, Marshall W. – Online Submission, 2008
This report summarizes the following results from Austin Independent School District's student graduating class of 2006: student demographic information, results from their High School Exit Survey responses, their postsecondary enrollment data, and students' academic performance data.
Descriptors: Outcomes of Education, School Districts, Student Characteristics, Postsecondary Education