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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
Chen Sun; Stephanie Yang; Betsy Becker – Journal of Educational Computing Research, 2024
Computational thinking (CT), an essential 21st century skill, incorporates key computer science concepts such as abstraction, algorithms, and debugging. Debugging is particularly underrepresented in the CT training literature. This multi-level meta-analysis focused on debugging as a core CT skill, and investigated the effects of various debugging…
Descriptors: Troubleshooting, Computation, Thinking Skills, Intervention
Whalley, Jacqueline; Settle, Amber; Luxton-Reilly, Andrew – ACM Transactions on Computing Education, 2023
Debugging is a core skill required by programmers, yet we know little about how to effectively teach the process of debugging. The challenges of learning debugging are compounded for novices who lack experience and are still learning the tools they need to program effectively. In this work, we report a case study in which we used a think-aloud…
Descriptors: Protocol Analysis, Novices, Troubleshooting, Programming
Transfer of Responsibility from Scaffolding to Preservice Early Childhood Teachers Learning to Debug
Brian R. Belland; ChanMin Kim; Emre Dinç; Anna Y. Zhang – Educational Technology Research and Development, 2024
Computer science is often integrated within early childhood education (ECE) through the use of educational robots. This requires adequate preparation of ECE teachers to program and debug, which can be done with scaffolding. In this paper, we use a QUANT + qual mixed method approach incorporating lag sequential analysis, ICAP framework coding,…
Descriptors: Scaffolding (Teaching Technique), Early Childhood Teachers, Preservice Teachers, Computer Science Education
Debora Lui; Deborah A. Fields; Yasmin B. Kafai – Cognition and Instruction, 2024
Debugging (or troubleshooting) provides a rich context to foster problem-solving. Yet, while we know much about some problems and strategies that novices face in programming on-screen, we know far less about debugging and troubleshooting in the context of physical computing, where coding issues may overlap with materially embedded problems. In…
Descriptors: Grade 9, STEM Education, Troubleshooting, Public Schools
Zhang, Yingbin; Paquette, Luc; Pinto, Juan D.; Liu, Qianhui; Fan, Aysa Xuemo – Education and Information Technologies, 2023
It is widely recognized that debugging is challenging for novice programmers and, as such, computing educators and researchers have called for explicit debugging instruction. Debugging requires various knowledge and skills, and different students may show different strengths and weaknesses. An understanding of such individual differences is…
Descriptors: Undergraduate Students, Programming, Novices, Troubleshooting
Fields, Deborah A.; Kafai, Yasmin B.; Morales-Navarro, Luis; Walker, Justice T. – British Journal of Educational Technology, 2021
Much attention in constructionism has focused on designing tools and activities that support learners in designing fully finished and functional applications and artefacts to be shared with others. But helping students learn to debug their applications often takes on a surprisingly more instructionist stance by giving them checklists, teaching…
Descriptors: High School Students, Design, Programming, Textiles Instruction
Lachney, Michael; Yadav, Aman; Drazin, Matt; Allen, Madison C.; Babbitt, William – TechTrends: Linking Research and Practice to Improve Learning, 2021
Despite the value that cultural experts bring to efforts to broaden the participation of racially minoritized youth in US computer science, there has been little research on supporting their knowledge of computing. This is a missed opportunity to explore the diffusion of computing knowledge across local community contexts where underrepresented…
Descriptors: Culturally Relevant Education, Computer Science Education, Community Education, Expertise
Merve Aydin; Ünal Çakiroglu – Journal of Computer Assisted Learning, 2025
Background: Students experience higher-order thinking skills by finding ways to solve the problem, debugging errors while applying the solution, and testing the solution in programming. However, the inability to create schemas that will characterise programming structures is one of the difficulties during this process. Objectives: This study aimed…
Descriptors: Programming, Computer Science Education, Thinking Skills, Problem Solving
Zhanxia Yang; Marina Bers – Computer Science Education, 2024
Background and Context: Historically, women have been underrepresented in computer science. To address this gender gap, researchers advocate for high-quality computer science programs for early childhood. Objectives: This study examines gender differences in coding performance before and after implementing a 24-lesson visual programming curriculum…
Descriptors: Gender Differences, Grade 1, Elementary School Students, Programming
Dahn, Maggie; DeLiema, David; Enyedy, Noel – Teachers College Record, 2020
Background/Context: Computer science has been making its way into K-12 education for some time now. As computer science education has moved into learning spaces, research has focused on teaching computer science skills and principles but has not sufficiently explored the emotional aspects of students' experiences. This topic warrants further study…
Descriptors: Computer Science Education, Coding, Programming, Student Experience
Mangaroska, Katerina; Sharma, Kshitij; Gaševic, Dragan; Giannakos, Michail – Journal of Computer Assisted Learning, 2022
Background: Problem-solving is a multidimensional and dynamic process that requires and interlinks cognitive, metacognitive, and affective dimensions of learning. However, current approaches practiced in computing education research (CER) are not sufficient to capture information beyond the basic programming process data (i.e., IDE-log data).…
Descriptors: Cognitive Processes, Psychological Patterns, Problem Solving, Programming
Ng, Oi-Lam; Cui, Zhihao – ZDM: Mathematics Education, 2021
This paper reports on a design-based study within the context of a 3-day "digital making" (DM) summer camp attended by a group of students (aged 11-13) in grades 5 and 6. During the camp, students were presented with a set of mathematical problems to solve in a block-based programming environment, which was connected to various physical…
Descriptors: Elementary School Students, Problem Solving, Mathematics Education, Mathematical Models
Kim, ChanMin; Yuan, Jiangmei; Vasconcelos, Lucas; Shin, Minyoung; Hill, Roger B. – Instructional Science: An International Journal of the Learning Sciences, 2018
In this study, we investigated the debugging process that early childhood preservice teachers used during block-based programing. Its purpose was to provide insights into how to prepare early childhood teachers to integrate computer science into instruction. This study reports the types of errors that early childhood preservice teachers commonly…
Descriptors: Preservice Teachers, Early Childhood Education, Computer Science Education, Programming
Turkmen, Gamze; Caner, Sonay – Turkish Online Journal of Distance Education, 2020
This study aims to provide a comprehensive and in-depth investigation of the debugging process in programming teaching in terms of cognitive and metacognitive aspects, based on programming students who demonstrate low, medium, and high programming performance and to propose instructional strategies for scaffolding novice learners in an effective…
Descriptors: Programming, Novices, Electronic Learning, Troubleshooting
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