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Youjin Choi; Feng Hou – Statistics Canada, 2025
This study aims to examine STEM graduates' retention in Canada after completing Canadian postsecondary programs. The retention of STEM graduates has improved in the last decade for both Canadian and international students. However, retention varied by educational and demographic characteristics. Canadian STEM graduates generally showed higher…
Descriptors: Foreign Countries, Foreign Students, STEM Education, Computer Science Education
Ari, Fatih; Arslan-Ari, Ismahan; Vasconcelos, Lucas – TechTrends: Linking Research and Practice to Improve Learning, 2022
The purpose of this exploratory study was to investigate early childhood preservice teachers' perceptions of computer science and gender stereotypes in computer science, and perceptions of coding in early childhood education. Quantitative and qualitative data were collected from early childhood preservice teachers enrolled in a teaching methods…
Descriptors: Early Childhood Teachers, Preservice Teachers, Student Attitudes, Computer Science
George, Kari L.; Sax, Linda J.; Wofford, Annie M.; Sundar, Sarayu – Research in Higher Education, 2022
Computing career opportunities are increasing across all sectors of the U.S. economy, yet there remains a serious shortage of college graduates to fill these jobs. This problem has fueled a nationwide effort to expand and diversify the computing career pipeline. Guided by social cognitive career theory (SCCT), this study used logistic regression…
Descriptors: College Environment, Career Choice, College Students, School Role
von Hausswolff, Kristina – Computer Science Education, 2022
Background and Context: Research in programming education seems to show that hands-on writing at the keyboard is beneficial for learning, but we lack an explanation of why that is and an underlying theory to anchor that explanation. Objective: The first objective is to lay out a theoretical foundation for understanding the learning situation when…
Descriptors: Programming, Computer Science Education, Novices, Student Experience
Öztürk, Mücahit – Interactive Technology and Smart Education, 2022
Purpose: The purpose of this study was to investigate the effect of self-regulated programming learning on undergraduate students' academic performance and motivation compared to traditional methods. Design/methodology/approach: This study was conducted with an explanatory sequential mixed method. Participants consist of 31 undergraduate students…
Descriptors: Undergraduate Students, Student Motivation, Academic Achievement, Independent Study
Waguespack, Leslie J.; Yates, David J.; Babb, Jeffry S. – Information Systems Education Journal, 2022
The Computing Curriculum 2020 project report, CC2020, Paradigms of Global Computing Education prescribes a competency model for describing curricula that challenges baccalaureate curriculum design to integrate "knowing why" into a fifty-year tradition of guidelines focused on "knowing what." Prescribing this competency model is…
Descriptors: College Graduates, Computer Science Education, Professionalism, Career Readiness
Rijo-Garcia, Sara; Segredo, Eduardo; Leon, Coromoto – IEEE Transactions on Education, 2022
Contribution: This document presents a systematic bibliographic review that demonstrates the need to conduct research on how the user experience impacts the development of computational thinking. Background: In the field of computer science, computational thinking is defined as a method that enhances problem-solving skills, system design, and…
Descriptors: Computation, Thinking Skills, Computer Science Education, Problem Solving
Kather, Philipp; Duran, Rodrigo; Vahrenhold, Jan – ACM Transactions on Computing Education, 2022
Previous studies on writing and understanding programs presented evidence that programmers beyond a novice stage utilize plans or plan-like structures. Other studies on code composition showed that learners have difficulties with writing, reading, and debugging code where interacting plans are merged into a short piece of code. In this article, we…
Descriptors: Eye Movements, Coding, Algorithms, Schemata (Cognition)
Georgia J. Grossett-Dale – ProQuest LLC, 2022
In our technology-based society, the field of computer science is integral to the economic, scientific, and security-related arenas of the United States. Despite efforts to diversify the domain of computing, most computing professionals are male. Consequently, girls rarely see female role models working in computing. The disparity between male and…
Descriptors: High School Students, Student Motivation, Females, Computer Science Education
Akdur, Deniz – ACM Transactions on Computing Education, 2023
Many practitioners might struggle with becoming productive in different software engineering (SE) roles due to misalignment of the skills learnt during the university time with what is expected in the industry. Companies spend significant resources to train the personnel, whose academic backgrounds are not only based on "computing…
Descriptors: Computer Software, Computer Science Education, Skill Development, Employment Potential
Alajlan, Hayat A. – Technology, Knowledge and Learning, 2023
The purpose of this quasi-experimental design study was to investigate and compare flipped learning (FL) and traditional learning (TL), and how FL impacts on student performance, participation and perceptions in higher education in Saudi Arabia. FL as an instructional approach has received much attention as a way to center learning on students in…
Descriptors: Flipped Classroom, Conventional Instruction, College Students, Computer Science Education
Ben-Yaacov, Anat; Hershkovitz, Arnon – Journal of Educational Computing Research, 2023
Block programming has been suggested as a way of engaging young learners with the foundations of programming and computational thinking in a syntax-free manner. Indeed, syntax errors--which form one of two broad categories of errors in programming, the other one being logic errors--are omitted while block programming. However, this does not mean…
Descriptors: Programming, Computation, Thinking Skills, Error Patterns
Kenworthy, Jared B.; Doboli, Simona; Alsayed, Omar; Choudhary, Rishabh; Jaed, Abu; Minai, Ali A.; Paulus, Paul B. – Creativity Research Journal, 2023
We present the results of an ongoing collaboration between computer science and psychology researchers that employs Natural Language Processing (NLP) methods to examine the trajectory of semantic space used during group idea generation sessions. Specifically, we track and estimate the region of semantic space being used and the degree to which new…
Descriptors: Computer Science, Psychology, Researchers, Natural Language Processing
Leitner, Maxyn; Greenwald, Eric; Wang, Ning; Montgomery, Ryan; Merchant, Chirag – International Journal of Artificial Intelligence in Education, 2023
Artificial Intelligence (AI) permeates every aspect of our daily lives and is no longer a subject reserved for a select few in higher education but is essential knowledge that our youth need for the future. Much is unknown about the level of AI knowledge that is age and developmentally appropriate for high school, let alone about how to teach AI…
Descriptors: Instructional Design, Game Based Learning, High School Students, Artificial Intelligence
Wang, Hai; Wang, Shouhong – Journal of Information Systems Education, 2023
NoSQL databases have been used in organizations for decades. Few database textbooks on the market, however, have suitable materials about NoSQL beyond general introductions for typical business students. In fact, users of the typical NoSQL systems on the software market need to have certain computer programming skills. This teaching tip introduces…
Descriptors: Databases, Programming, Computer Science Education, Business Administration Education

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