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Daniel Escanez-Exposito; Javier Correa-Marichal; Pino Caballero-Gil – IEEE Transactions on Education, 2024
Quantum computing is an emerging and quickly expanding domain that captivates scientists and engineers. Recognizing the limitations of conventional educational approaches in adequately preparing individuals for their incursion in this area, this research introduces a novel board game called "Qubit: The Game," whose objective is twofold:…
Descriptors: Game Based Learning, Art Education, STEM Education, Competence
Hanli Geyser – ACM Transactions on Computing Education, 2024
Like digital technologies themselves, programming education is embedded in the colonial matrix of power, and access to programming knowledge demands immersion in the epistemologies of the Global North. While there is a growing body of work exploring ways to decolonise programming education, far more needs to be done. Current research focuses on…
Descriptors: Computer Science Education, Decolonization, Programming, Power Structure
Christopher Perdriau; Meron Solomon; Amy Ko – ACM Transactions on Computing Education, 2024
Introduction: Computer science (CS) lacks representation from people who identify as one or more of the following identities: woman, Black, Indigenous, Hispanic, Latina/Latino/Latinx, or disabled. We refer to these groups as historically underrepresented groups (HUGs). Informal learning, like CS summer camps and hackathons, can increase interest…
Descriptors: Informal Education, Computer Science Education, Student Recruitment, Elementary Secondary Education
Colin Hennessy Elliott; Jessie Nixon; Alexandra Gendrau Chakarov; Jeffrey B. Bush; Michael J. Schneider; Mimi Recker – ACM Transactions on Computing Education, 2024
Objectives: Physical computing systems are increasingly being integrated into secondary school science and STEM instruction, yet little is known about how teachers, especially those with little background and experience in computing, help students during the inevitable debugging moments that arise. In this article, we describe a framework,…
Descriptors: Computer Science Education, Troubleshooting, Teaching Methods, Secondary School Students
Samer Hanna – International Journal of Learning Technology, 2024
It is important that software testing courses at universities provide students with testing skills that are close to the skills needed by industry. To investigate if these courses do accomplish this role, this research provides comparison and empirical analysis of the topics provided by 80 software testing courses in nine countries around the…
Descriptors: Computer Software, Job Skills, Occupational Information, Education Work Relationship
Kristina M. Tank; Anne Ottenbreit-Leftwich; Tamara J. Moore; Sohheon Yang; Zarina Wafula; Jiyoung Kim; Bárbara Fagundes; Lin Chu – International Journal of Computer Science Education in Schools, 2024
Within the field of K-2 computer science (CS) education, unplugged computational thinking (CT) activities have been suggested as beneficial for younger students and shown to impact young students' skills and motivation to learn about CS. This study sought to examine how children demonstrate CT competencies in unplugged sequencing tasks and how…
Descriptors: Computation, Thinking Skills, Computer Science Education, Preschool Children
Lautaro Cabrera; Diane Jass Ketelhut; Kelly Mills; Heather Killen; Merijke Coenraad; Virginia L. Byrne; Jandelyn Dawn Plane – Journal of Research in Science Teaching, 2024
As professional science becomes increasingly computational, researchers and educators are advocating for the integration of computational thinking (CT) into science education. Researchers and policymakers have argued that CT learning opportunities should begin in elementary school and span across the K-12 grades. While researchers and policymakers…
Descriptors: Computer Science Education, Thinking Skills, Science Education, Elementary School Students
Danyelle Tauryce Willis; Kimberley Edelin Freeman – ACM Transactions on Computing Education, 2024
Objectives: We aim to understand, from a motivational perspective, how Black undergraduate women in computing make sense of their intersectional computing experiences. We examine their motivation to major in computing, their experiences as Black women in computing, and how these vary across institutional contexts. Participants: A sample of 77…
Descriptors: Undergraduate Students, African American Students, Student Motivation, Student Experience
Joshua Childs; Rebecca Zarch; Sarah Dunton; Tia C. Madkins; Katelin Trautmann; Z. W. Taylor; Miriam Jacobson; Sonnur Ozturk; Anne Ottenbreit-Leftwich – Review of Research in Education, 2024
Over the past 20 years, there has been a concentrated effort on expanding K-12 pathways, experiences, and access in computer science education (CSEd). Computer science (CS) is a multifaceted discipline within education, and the current emphasis in education policy has focused on how to expand access for K-12 students in CSEd that will lead to…
Descriptors: Computer Science Education, Equal Education, Access to Education, Barriers
Kevin Hilliard; Xiaohong Yuan; Kelvin Bryant; Jinsheng Xu; Jinghua Zhang – Journal of Cybersecurity Education, Research and Practice, 2024
Gamification has proven to be effective in engaging and encouraging people to work towards and achieve goals. Many students struggle to focus on schoolwork, due to a lack of interest, lack of understanding, or other factors unique to the student. Applying gamification elements to education can help engage these students in learning their course…
Descriptors: Gamification, Mastery Learning, Computer Security, Computer Networks
Chang-Tik, Chan; Dhaliwal, Jasbir – Learning: Research and Practice, 2022
This study examines the participation of the Less Effective Learning Group(LELG) students in Collaborative Learning in Informal Space (CLIS) to gain more insights in two of the five principles of the Framework of Participation. Their participation is based on relationships of mutual recognition and acceptance and participation requires learning to…
Descriptors: Cooperative Learning, Computer Science Education, Programming, Informal Education
Lang, Guido; Sharp, Jason H. – Information Systems Education Journal, 2022
This study aims to shed light on what students like and dislike in coding bootcamps. A qualitative content analysis of student reviews for coding bootcamps was conducted, resulting in a research model and survey instrument consisting of fourteen factors that are proposed to affect coding bootcamp satisfaction. The proposed satisfaction factors…
Descriptors: Coding, Programming, Program Length, Student Satisfaction
Lian, Victor; Varoy, Elliot; Giacaman, Nasser – IEEE Transactions on Learning Technologies, 2022
Object-oriented programming (OOP) is a widely used programming paradigm in modern software industry. This makes it an essential skill for students in many disciplines to learn. However, OOP is known to be challenging to learn and teach due to its abstract nature. Studies have shown that students often face difficulties and develop misconceptions…
Descriptors: Programming, Computer Science Education, Visualization, Logical Thinking
Hopcan, Sinan; Polat, Elif; Albayrak, Ebru – Journal of Educational Computing Research, 2022
The pair programming approach is used to overcome the difficulties of the programming process in education environments. In this study, the interaction sequences during the paired programming of preservice teachers was investigated. Lag sequential analysis were used to explore students' behavioral patterns in pair programming. The participants of…
Descriptors: Cooperative Learning, Student Behavior, Programming, Computer Science Education
Wiegand, R. Paul; Bucci, Anthony; Kumar, Amruth N.; Albert, Jennifer; Gaspar, Alessio – ACM Transactions on Computing Education, 2022
In this article, we leverage ideas from the theory of coevolutionary computation to analyze interactions of students with problems. We introduce the idea of "informatively" easy or hard concepts. Our approach is different from more traditional analyses of problem difficulty such as item analysis in the sense that we consider Pareto…
Descriptors: Concept Formation, Difficulty Level, Computer Science Education, Problem Solving