NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 11 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Amanda A. Barrett; Colin T. Smith; Courtni H. Hafen; Emilee Severe; Elizabeth G. Bailey – Computer Science Education, 2024
Background and Context: While biology has strong female representation, computer science is the least gender equitable of the STEM fields. A better understanding of the barriers that keep women out of computational fields will help overcome those barriers to create a more diverse workforce. Objective: We investigated the complexities that…
Descriptors: Sex Role, Majors (Students), Prior Learning, Computer Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Chen; Haduong, Paulina; Brennan, Karen; Sonnert, Gerhard; Sadler, Philip – Computer Science Education, 2019
Background and Context: The relationship between novices' first programming language and their future achievement has drawn increasing interest owing to recent efforts to expand K-12 computing education. This article contributes to this topic by analyzing data from a retrospective study of more than 10,000 undergraduates enrolled in introductory…
Descriptors: Computer Science Education, Programming Languages, College Students, Computer Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
McCord, Rachel; Jeldes, Isaac – Computer Science Education, 2019
Background and Context: Flipped classrooms are becoming more widely adopted across engineering higher education contexts. In degree programs where enrollment is increasing and undergraduate curricula are packed with content, pedagogies that allow more time for actively participate in classroom activities are being highly sought after to aid in…
Descriptors: Computer Software, Computer Science Education, Blended Learning, Intervention
Peer reviewed Peer reviewed
Direct linkDirect link
Kong, Siu-Cheung; Wang, Yi-Qing – Computer Science Education, 2019
Background and Context: Positive youth programming development (PYPD) was conceptualized to measure various positive qualities of students in programming education. Objective: This study aimed to develop a valid PYPD instrument in the pilot before exploring students' positive qualities in two follow-up studies. Method: A multi-study design was…
Descriptors: Computer Science Education, Programming, College Students, Test Validity
Peer reviewed Peer reviewed
Direct linkDirect link
Nasser-Abu Alhija, Fadia; Levi-Eliyahu, Orna – Computer Science Education, 2019
Background and Context: Understanding the effects of learner characteristics and perceived learning environment on achievement in academic fields including Computer Science (CS) is of critical importance. Objective: This study aimed at testing a hypothesized model of achievement in CS in terms of the learner and the learning environment…
Descriptors: Computer Science Education, Grade 11, Grade 12, High School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Kreth, Quintin; Spirou, Mary Eve; Budenstein, Sarabeth; Melkers, Julia – Computer Science Education, 2019
Background & Context: As graduate programs in computing expand to online environments, existing research is limited in its ability to inform both practical and theoretical understandings of the factors influencing student success. Objective: We explore student perceptions of their learning environment at the understudied intersection of online…
Descriptors: Prior Learning, Self Efficacy, Graduate Students, Electronic Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Mühling, Andreas – Computer Science Education, 2016
Concept maps have a long history in educational settings as a tool for teaching, learning, and assessing. As an assessment tool, they are predominantly used to extract the structural configuration of learners' knowledge. This article presents an investigation of the knowledge structures of a large group of beginning CS students. The investigation…
Descriptors: Concept Mapping, Computer Science Education, Novices, Knowledge Level
Peer reviewed Peer reviewed
Direct linkDirect link
Ben-David Kolikant, Yifat; Genut, Sara – Computer Science Education, 2017
In line with the growing interest in extending the diversity of CS students, we examined the performance of a unique group of students studying an introductory course in Digital logic: ultraorthodox Jewish men, whose previous education was based mostly on studying Talmud and who lacked a conventional high-school education. We used questions from…
Descriptors: Jews, Males, Prior Learning, Computer Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
Robins, Anthony – Computer Science Education, 2010
Compared to other subjects, the typical introductory programming (CS1) course has higher than usual rates of both failing and high grades, creating a characteristic bimodal grade distribution. In this article, I explore two possible explanations. The conventional explanation has been that learners naturally fall into populations of programmers and…
Descriptors: Programming, Learning Processes, Grading, Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
Simon, Beth; Bouvier, Dennis; Chen, Tzu-Yi; Lewandowski, Gary; McCartney, Robert; Sanders, Kate – Computer Science Education, 2008
We report on responses to a series of four questions designed to identify pre-existing abilities related to debugging and troubleshooting experiences of novice students before they begin programming instruction. The focus of these questions include general troubleshooting, bug location, exploring unfamiliar environments, and describing students'…
Descriptors: Troubleshooting, Teaching Methods, Computer Science Education, Programming
Peer reviewed Peer reviewed
Direct linkDirect link
Tenenberg, Josh; Murphy, Laurie – Computer Science Education, 2005
This paper describes an empirical study that investigated the knowledge that Computer Science students have about the extent of their own previous learning. The study compared self-generated estimates of performance with actual performance on a data structures quiz taken by undergraduate students in courses requiring data structures as a…
Descriptors: Feedback (Response), Undergraduate Students, Student Attitudes, Prior Learning