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Haeryun Kim – Policy Futures in Education, 2025
This study explores how high school computer science (CS) course enrollment differs by student background through an intersectional lens. I use statewide data from North Carolina that contains longitudinal student-level background and course-taking information from 2005-2006 to the 2018-2019 school year and estimate linear probability models…
Descriptors: Computer Science Education, Course Selection (Students), High School Students, Intersectionality
Katharine Childs; Sue Sentance – International Journal of Computer Science Education in Schools, 2024
Gender balance in computing education is a decades-old issue that has been the focus of much previous research. In K-12, the introduction of mandatory computing education goes some way to giving all learners the opportunity to engage with computing throughout school, but a gender imbalance still persists when computer science becomes an elective…
Descriptors: Computer Science Education, Females, Student Attitudes, Elementary School Students
Sax, Linda J.; Newhouse, Kaitlin N. S.; Goode, Joanna; Nakajima, Tomoko M.; Skorodinsky, Max; Sendowski, Michelle – ACM Transactions on Computing Education, 2022
The Advanced Placement Computer Science Principles (APCSP) course was introduced in 2016 to address long-standing gender and racial/ethnic disparities in the United States among students taking Advanced Placement Computer Science (APCS) in high school, as well as among those who pursued computing majors in college. Although APCSP has drawn a more…
Descriptors: Advanced Placement Programs, Computer Science Education, Equal Education, High School Students
Pinson, Halleli; Feniger, Yariv; Barak, Yael – Journal of Research in Science Teaching, 2020
In the past three decades in high-income countries, female students have outperformed male students in most indicators of educational attainment. However, the underrepresentation of girls and women in science courses and careers, especially in physics, computer sciences, and engineering, remains persistent. What is often neglected by the vast…
Descriptors: Foreign Countries, High School Students, Semitic Languages, Gender Differences
Tatel, Corey E.; Lyndgaard, Sibley F.; Kanfer, Ruth; Melkers, Julia E. – Journal of Learning Analytics, 2022
As the demand for lifelong learning increases, many working adults have turned to online graduate education in order to update their skillsets and pursue advanced credentials. Simultaneously, the volume of data available to educators and scholars interested in online learning continues to rise. This study seeks to extend learning analytics…
Descriptors: Course Selection (Students), Enrollment Trends, Academic Achievement, Learning Analytics
Crues, R. Wes; Henricks, Genevieve M.; Perry, Michelle; Bhat, Suma; Anderson, Carolyn J.; Shaik, Najmuddin; Angrave, Lawrence – ACM Transactions on Computing Education, 2018
Massive Open Online Courses (MOOCs)--in part, because of their free, flexible, and relatively anonymous nature--may provide a means for helping overcome the large gender gap in Computer Science (CS). This study examines why women and men chose to enroll in a CS MOOC and how this is related to successful behavior in the course by (a) using k-means…
Descriptors: Online Courses, Computer Science Education, Persistence, Gender Differences
Venkataraman, Rohith; Agarwal, Eshan; Brown, David W. – International Journal on E-Learning, 2019
A strong gender disparity exists within the computer science (CS) field, and this imbalance stretches from the professional domain down to the educational level. In a 2013 study (Venkataraman et. al 2013), students (n = 127) of a northeastern STEM high school were surveyed. Responses were collected and analyzed using the Kruskal-Wallis statistical…
Descriptors: Elementary Secondary Education, Gender Differences, Computer Science Education, STEM Education
Lee, Ahlam – Computers in the Schools, 2020
Concerning the underrepresentation of female students in computer science (CS) classes at the K-12 level and math-intensive STEM fields, this study investigated the relationship between female students earning less credits in CS courses during high school and their STEM major choices. Data were drawn from a nationally representative sample of U.S.…
Descriptors: Females, Gender Differences, Computer Science Education, Disproportionate Representation
Master, Allison; Cheryan, Sapna; Meltzoff, Andrew N. – Journal of Educational Psychology, 2016
Computer science has one of the largest gender disparities in science, technology, engineering, and mathematics. An important reason for this disparity is that girls are less likely than boys to enroll in necessary "pipeline courses," such as introductory computer science. Two experiments investigated whether high-school girls' lower…
Descriptors: Gender Differences, Computer Science, Sex Stereotypes, Computer Science Education
Armoni, Michal; Gal-Ezer, Judith – Computer Science Education, 2014
The gap between enrollments in higher education computing programs and the high-tech industry's demands is widely reported, and is especially prominent for women. Increasing the availability of computer science education in high school is one of the strategies suggested in order to address this gap. We look at the connection between exposure to…
Descriptors: Foreign Countries, Computer Science Education, High School Students, College Preparation
Silva-Maceda, Gabriela; Arjona-Villicaña, P. David; Castillo-Barrera, F. Edgar – IEEE Transactions on Education, 2016
Learning to program is a complex task, and the impact of different pedagogical approaches to teach this skill has been hard to measure. This study examined the performance data of seven cohorts of students (N = 1168) learning programming under three different pedagogical approaches. These pedagogical approaches varied either in the length of the…
Descriptors: Programming, Teaching Methods, Intermode Differences, Cohort Analysis
Downes, Toni; Looker, Dianne – Computer Science Education, 2011
This article explores factors that contribute to low participation rates in computing and information technology (CIT) courses in senior secondary school, particularly for females. Partly drawing on the Values-Expectancy Theory the following variables are explored separately and within a single model: gender, ability and values beliefs, access and…
Descriptors: Foreign Countries, Computer Science Education, Student Attitudes, Females
Tsagala, Evrikleia; Kordaki, Maria – Themes in Science and Technology Education, 2008
This study focuses on how Computer Science and Engineering Students (CSESs) of both genders address certain critical issues for gender differences in the field of Computer Science and Engineering (CSE). This case study is based on research conducted on a sample of 99 Greek CSESs, 43 of which were women. More specifically, these students were asked…
Descriptors: Computer Science Education, Engineering Education, College Students, Gender Differences
Micceri, Theodore – Online Submission, 2005
The purpose of this exercise was to determine whether any of the available demographic or academic variables show distinct trends in three specific discipline areas that differ from those of other areas: (1) Engineering, (2) Computer Sciences, and (3) Biological Sciences. Using data from 39,087 SUS graduates in 2002-03 and of 324,164 science…
Descriptors: Physics, Ethnic Groups, Biology, Transfer Students

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