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Shuqiong Lin; Megha Joshi; Kate Caton; Joseph Patrick Wilson – American Institutes for Research, 2024
The American Institutes for Research® (AIR®) partnered with Girls Who Code (GWC) to conduct an independent study evaluating the effectiveness of two GWC summer virtual programs, the Summer Immersion Program (SIP) and the Self-Paced Program (SPP), on promoting the pursuit of Computer Science (CS)-related postsecondary education for high school…
Descriptors: Females, Womens Education, Summer Programs, Program Effectiveness
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
Jagesic, Sanja; Wyatt, Jeff – College Board, 2022
The Advanced Placement® (AP®) Program offers high school students the opportunity to take rigorous coursework in high school and receive college credit for AP Exam scores that meet or exceed the requirements of their attending institution. Students receiving AP credit are typically exempted from an introductory level course or series of courses…
Descriptors: Advanced Placement Programs, High School Students, College Credits, Tests
Wyatt, Jeff; Jagesic, Sanja; Godfrey, Kelly – College Board, 2018
The Advanced Placement® (AP®) Program offers high school students the opportunity to take rigorous coursework in high school and receive college credit for AP Exam scores that meet or exceed the requirements of their attending institution. Students receiving AP credit are typically exempted from an introductory level course or series of courses…
Descriptors: Advanced Placement Programs, High School Students, Scores, College Credits
Eccles, Jacquelynne S.; Wang, Ming-Te – International Journal of Behavioral Development, 2016
Drawing on Eccles' expectancy-value model of achievement-related choices, we examined the personal aptitudes and motivational beliefs at 12th grade that move individuals toward or away from science, technology, engineering, and mathematics (STEM) occupations at age 29. In the first set of analyses, occupational and lifestyle values, math ability…
Descriptors: Student Attitudes, Grade 12, Gender Differences, High School Students
Mattern, Krista D.; Shaw, Emily J.; Ewing, Maureen – College Board, 2011
Previous research has found a positive relationship between AP® participation and performance with various college outcomes. Building on this work, the current study investigated the relationship between AP participation and performance with choice of college major. Specifically, this study examined whether students who take an AP Exam in a…
Descriptors: Advanced Placement, Achievement Tests, Computer Science, Majors (Students)
Sikora, Joanna; Pokropek, Artur – OECD Publishing (NJ1), 2011
This paper provides a comprehensive overview of adolescent career plans reported in PISA 2006. Its main focus is on the differences in the status and area of employment expected by girls and boys in high school. In almost all countries, girls lead boys in their interest in non-manual, high status professional occupations. This can be seen as a…
Descriptors: High School Students, Student Attitudes, Females, Foreign Countries
Kaufman, Phillip – 1990
Patterns of courses completed by high school students versus courses completed by college and postsecondary vocational/technical students were examined. Data were from the High School and Beyond Study, including the 1982 high school transcripte and 1987 postsecondary transcripts for 1980 high school sophomores. Students who graduated from high…
Descriptors: Black Students, College Students, Comparative Analysis, Computer Science Education