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Marie-Monique Schaper; Mariana Aki Tamashiro; Rachel Charlotte Smith; Ole Sejer Iversen – ACM Transactions on Computing Education, 2025
As emerging technologies are rapidly advancing as part of our societies and everyday life, it is crucial to include and empower all students in learning about computing and advanced technologies. These include technical capabilities of algorithms, such as the use of AI, that enable novel interactions between humans and their environment and give…
Descriptors: Inclusion, Artificial Intelligence, Student Empowerment, Algorithms
Brennan, Karen; Blum-Smith, Sarah; Peters, Laura; Kang, Jane – ACM Transactions on Computing Education, 2022
Student-directed projects--projects in which students have individual control over what they create and how to create it--are a promising practice for supporting the development of conceptual understanding and personal interest in K-12 computer science classrooms. In this article, we explore a central (and perhaps counterintuitive) design…
Descriptors: Elementary School Teachers, Secondary School Teachers, Cooperative Learning, Active Learning
Yin-Chan Liao; Jiyoung Kim; Anne T. Ottenbreit-Leftwich; Michael Karlin; Meize Guo – ACM Transactions on Computing Education, 2024
Objectives: Computer Science (CS) education has become increasingly prevalent in elementary schools because of multiple rationales, such as the importance of computational literacy and the growing demand for CS-related workforce preparation. As elementary CS standards continue to be adopted by many states, more examples and voices from the field…
Descriptors: Elementary School Teachers, Computer Science Education, Teacher Attitudes, Computer Literacy
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
Luo, Feiya; Israel, Maya; Gane, Brian – ACM Transactions on Computing Education, 2022
There is little empirical research related to how elementary students develop computational thinking (CT) and how they apply CT in problem-solving. To address this gap in knowledge, this study made use of learning trajectories (LTs; hypothesized learning goals, progressions, and activities) in CT concept areas such as sequence, repetition,…
Descriptors: Elementary School Students, Computation, Thinking Skills, Learning Trajectories
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