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Chyanna Wee; Lillian Yee Kiaw Wang; Huey Fang Ong – ACM Transactions on Computing Education, 2025
This study presents the development of a student-centric framework for utilizing virtual reality (VR) technologies in education, specifically focusing on enhancing computational thinking skills. While numerous frameworks exist in this domain, they often lack consideration of student preferences, which are integral for fostering learner autonomy.…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Computation
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Jean Salac; Lena Armstrong; F. Megumi Kivuva; Jayne Everson; Amy J. Ko – ACM Transactions on Computing Education, 2025
Background and Context: With the growing movement to adopt critical framings of computing, scholars have worked to reframe computing education from the narrow development of programming skills to skills in identifying and resisting oppressive structures in computing. However, we have little guidance on how these framings may manifest in classroom…
Descriptors: Critical Theory, Computer Science Education, Summer Programs, Secondary School Students
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Lijun Ni; Gillian Bausch; Elizabeth Thomas-Cappello; Fred Martin; Bernardo Feliciano – ACM Transactions on Computing Education, 2024
This study examined student learning outcomes from a middle school computer science (CS) curriculum developed through a researcher and practitioner partnership (RPP) project. The curriculum is based on students creating mobile apps that serve community and social good. We collected two sets of data from 294 students in three urban districts: (1)…
Descriptors: Computer Software, Middle School Students, Coding, Self Efficacy
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Umar Shehzad; Jody Clarke-Midura; Mimi Recker – ACM Transactions on Computing Education, 2024
Objectives: The increasing demand for computing skills has led to a rapid rise in the development of new computer science (CS) curricula, many with the goal of equitably broadening the participation of underrepresented students in CS. While such initiatives are vital, factors outside of the school environment also play a role in influencing…
Descriptors: Parent Child Relationship, Computer Science Education, Programming, Equal Education
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Chathura Rajapakse; Wathsala Ariyarathna; Shanmugalingam Selvakan – ACM Transactions on Computing Education, 2024
Objectives: This article explores teacher readiness for introducing artificial intelligence (AI) into Sri Lankan schools, drawing on self-efficacy theory. Similar to some other countries, Sri Lanka plans to integrate AI into the school curriculum soon. However, a key question remains: Are teachers prepared to teach this advanced technical subject…
Descriptors: Foreign Countries, Artificial Intelligence, Teacher Attitudes, Readiness
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Xue Zhang; Chao Qin; Yanjia Liu; Haipeng Wan – ACM Transactions on Computing Education, 2024
Pair programming is an effective instructional format in programming education for adolescents. Within pair programming, three potential gender combinations may arise: Boy-Boy (BB), Girl-Girl (GG), and Boy-Girl (BG). This study explores the impact of different gender pairings on the programming self-efficacy and collaborative attitudes of…
Descriptors: Programming, Gender Differences, Cooperative Learning, Self Efficacy
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Stephanie Yang; Miles Baird; Eleanor O’Rourke; Karen Brennan; Bertrand Schneider – ACM Transactions on Computing Education, 2024
Students learning computer science frequently struggle with debugging errors in their code. These struggles can have significant downstream effects--negatively influencing how students assess their programming ability and contributing to their decision to drop out of CS courses. However, debugging instruction is often an overlooked topic, and…
Descriptors: Computer Science Education, Troubleshooting, Programming, Teaching Methods
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Ronan, Darcy; Erdil, D. Cenk; Brylow, Dennis – ACM Transactions on Computing Education, 2023
Instrument development is an important step towards unlocking the analytical power of teacher attitudes and beliefs towards Computer Science (CS). Teacher dispositions have strong empirical and theoretical ties to teacher motivation, professional choices, and classroom practices. To determine consensus desirable attitudes and beliefs, we analyzed…
Descriptors: Teacher Attitudes, Computer Science, Test Construction, Test Validity
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El-Hamamsy, Laila; Pellet, Jean-Philippe; Roberts, Matthew; Kovacs, Helena; Bruno, Barbara; Zufferey, Jessica Dehler; Mondada, Francesco – ACM Transactions on Computing Education, 2023
Context: Introducing Computer Science (CS) into formal education can be challenging, notably when considering the numerous stakeholders involved which include the students, teachers, schools, and policy makers. We believe these perspectives should be considered conjointly, which is possible within Research Practice Partnerships (RPPs). RPPs look…
Descriptors: Theory Practice Relationship, Research and Development, Partnerships in Education, Computer Science Education
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Allison, Jordan – ACM Transactions on Computing Education, 2023
As technology and curricula continue to evolve and develop, the prevalence and effectiveness of continuing professional development (CPD) opportunities for computer science teachers is becoming increasingly more important. However, key questions remain about what the characteristics are for effective CPD in this context. Through the presentation…
Descriptors: Faculty Development, Computer Science Education, Teacher Competencies, College Faculty
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El-Hamamsy, Laila; Bruno, Barbara; Avry, Sunny; Chessel-Lazzarotto, Frédérique; Dehler Zufferey, Jessica; Mondada, Francesco – ACM Transactions on Computing Education, 2023
Context: With the introduction of Computer Science (CS) into curricula worldwide, teachers' adoption of CS pedagogical content is essential to ensure the long-term success of reform initiatives. Continuing Professional Development (CPD) programs play a key role in this process. Unfortunately, adoption is seldom evaluated in CS-CPDs or CPDs in…
Descriptors: Elementary School Teachers, Computer Science Education, Computer Science, Adoption (Ideas)
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Israel, Maya; Kester, Brittany; Williams, Jessica J.; Ray, Meg J. – ACM Transactions on Computing Education, 2022
Through a mixed-methods approach that utilized teacher surveys and a focus group with computer science (CS) instructional coaches, this study examined elementary teachers' confidence in meeting the needs of students with disabilities, the extent to which the teachers could use the Universal Design for Learning (UDL) framework in CS education, and…
Descriptors: Equal Education, Inclusion, Access to Education, Elementary Education
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Vrieler, Tina; Salminen-Karlsson, Minna – ACM Transactions on Computing Education, 2022
The aim of this conceptual article is to provide a framework and a lens for educators in diversifying and making CS education more inclusive. In this article, we conceptualize the notion of computer science capital (CSC), which extends Bourdieu's sociological theory of capital and Archer et al.'s work on "science capital." The CSC…
Descriptors: Sociocultural Patterns, Computer Science Education, Teaching Methods, Inclusion
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Loksa, Dastyni; Margulieux, Lauren; Becker, Brett A.; Craig, Michelle; Denny, Paul; Pettit, Raymond; Prather, James – ACM Transactions on Computing Education, 2022
Metacognition and self-regulation are important skills for successful learning and have been discussed and researched extensively in the general education literature for several decades. More recently, there has been growing interest in understanding how metacognitive and self-regulatory skills contribute to student success in the context of…
Descriptors: Metacognition, Programming, Computer Science Education, Learning Processes
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Lyon, Louise Ann; Green, Emily – ACM Transactions on Computing Education, 2021
College-educated women in the workforce are discovering a latent interest in and aptitude for computing motivated by the prevalence of computing as an integral part of jobs in many fields as well as continued headlines about the number of unfilled, highly paid computing jobs. One of these women's choices for retraining are the so-called coding…
Descriptors: Computer Science Education, Coding, Programming, Females
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