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) | 3 |
Descriptor
Computer Science Education | 3 |
Predictor Variables | 3 |
Foreign Countries | 2 |
Programming | 2 |
Academic Achievement | 1 |
Accuracy | 1 |
Algebra | 1 |
Artificial Intelligence | 1 |
Concept Formation | 1 |
Disproportionate… | 1 |
Enrollment | 1 |
More ▼ |
Author
Ben-Ari, M. | 1 |
Bergin, Susan | 1 |
Byckling, P. | 1 |
Fletcher, Carol L. | 1 |
Gerdt, P. | 1 |
Kulikova, Y. | 1 |
Martin, Nicole D. | 1 |
Quille, Keith | 1 |
Sajaniemi, J. | 1 |
Torbey, Ryan | 1 |
Warner, Jayce R. | 1 |
More ▼ |
Publication Type
Reports - Descriptive | 3 |
Journal Articles | 2 |
Education Level
High Schools | 1 |
Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Torbey, Ryan; Martin, Nicole D.; Warner, Jayce R.; Fletcher, Carol L. – Texas Education Research Center, 2020
A complex web of factors can influence whether students participate in computer science (CS) during high school. In order to increase participation in CS for all students, there is a need to better understand who is currently participating and what factors might be hindering participation. This study utilized a large-scale, student-level dataset…
Descriptors: Algebra, High School Students, Computer Science Education, Student Participation
Quille, Keith; Bergin, Susan – Computer Science Education, 2019
Background and Context: Computer Science attrition rates (in the western world) are very concerning, with a large number of students failing to progress each year. It is well acknowledged that a significant factor of this attrition, is the students' difficulty to master the introductory programming module, often referred to as CS1. Objective: The…
Descriptors: Computer Science Education, Introductory Courses, Programming, Student Attrition
Sajaniemi, J.; Ben-Ari, M.; Byckling, P.; Gerdt, P.; Kulikova, Y. – Computer Science Education, 2006
Roles can be assigned to occurrences of variables in programs according to a small number of stereotypical patterns of use. Studies on explicitly teaching roles to novices learning programming have shown that roles are an excellent pedagogical tool for clarifying the structure and meaning of programs and that their use improves students'…
Descriptors: Programming, Predictor Variables, Role Perception, Role Theory