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Jonathan Robert Bowers – ProQuest LLC, 2024
To make sense of our interconnected and algorithm driven world, students increasingly need proficiency with computational thinking (CT), systems thinking (ST), and computational modeling. One aspect of computational modeling that can support students with CT, ST, and modeling is testing and debugging. Testing and debugging enables students to…
Descriptors: Troubleshooting, Thinking Skills, Computation, Computer Science Education
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Ernst Bekkering; Patrick Harrington – Information Systems Education Journal, 2025
Generative AI has recently gained the ability to generate computer code. This development is bound to affect how computer programming is taught in higher education. We used past programming assignments and solutions for textbook exercises in our introductory programming class to analyze how accurately one of the leading models, ChatGPT, generates…
Descriptors: Higher Education, Artificial Intelligence, Programming, Textbook Evaluation
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Dwi Maryono; Sajidan; Muhammad Akhyar; Sarwanto; Bayu Tri Wicaksono; Nurcahya Pradana Taufik Prakisya – Discover Education, 2025
This study investigates the integration of adaptive e-learning and gamification through a platform called NgodingSeru.com to improve problem-solving skills in programming among vocational high school students. The adaptive system offers personalized learning by adjusting task difficulty to student's proficiency levels, while gamification elements…
Descriptors: Career and Technical Education Schools, High Schools, High School Students, Electronic Learning
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Ting-Ting Wu; Hsin-Yu Lee; Pei-Hua Chen; Wei-Sheng Wang; Yueh-Min Huang – Journal of Computer Assisted Learning, 2025
Background: Conventional reflective learning methodologies in programming education often lack structured guidance and individualised feedback, limiting their pedagogical effectiveness. Whilst computational thinking (CT) offers a systematic problem-solving framework with decomposition, pattern recognition, abstraction, and algorithm design, its…
Descriptors: Computation, Thinking Skills, Educational Diagnosis, Diagnostic Tests
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Pelánek, Radek; Effenberger, Tomáš – Computer Science Education, 2022
Background and Context: Block-based programming is a popular approach to teaching introductory programming. Block-based programming often works in the context of microworlds, where students solve specific puzzles. It is used, for example, within the Hour of Code event, which targets millions of students. Objective: To identify design guidelines…
Descriptors: Programming, Computer Science Education, Puzzles, Problem Solving
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Ezeamuzie, Ndudi O.; Leung, Jessica S. C.; Garcia, Raycelle C. C.; Ting, Fridolin S. T. – Journal of Computer Assisted Learning, 2022
Background: The idea of computational thinking is underpinned by the belief that anyone can learn and use the underlying concepts of computer science to solve everyday problems. However, most studies on the topic have investigated the development of computational thinking through programming activities, which are cognitively demanding. There is a…
Descriptors: Computation, Thinking Skills, Problem Solving, Cognitive Processes
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Çakiroglu, Ünal; Mumcu, Süheda; Atabay, Melek; Aydin, Merve – International Journal of Computer Science Education in Schools, 2022
This study aims to explore the influences of the CS-unplugged activities in developing problem solving skills of preschool children. The participants were 11 children (4-5 aged) enrolled in a public preschool and Code.org activities were used as an instructional package. Activity evaluation form and interviews were used to understand children's…
Descriptors: Problem Solving, Preschool Children, Computer Science Education, Programming
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W. Paige Hall; Kevin Cantrell – Journal of Chemical Education, 2024
Human-driven carbon emissions have resulted in increased levels of dissolved carbon dioxide in the Earth's oceans. This dissolved carbon dioxide reacts with water to form carbonic acid, which impacts ocean acidity as well as the solubility of carbonate-containing compounds, with far-reaching impacts on marine ecosystems and the human communities…
Descriptors: Programming Languages, Computer Science Education, Chemistry, Marine Biology
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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
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Lorien Cafarella; Lucas Vasconcelos – Education and Information Technologies, 2025
Middle school students often enter Computer Science (CS) classes without previous CS or Computational Thinking (CT) instruction. This study evaluated how Code.org's block-based programming curriculum affects middle school students' CT skills and attitudes toward CT and CS. Sixteen students participated in the study. This was a mixed methods action…
Descriptors: Middle School Students, Computation, Thinking Skills, Problem Solving
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Adam V. Maltese; Kelli M. Paul; Bárbara Yarza; Lauren Penney – Educational Technology Research and Development, 2024
In this manuscript, we describe a coding club we created and implemented during the COVID-19 pandemic. We were purposeful in creating the club to: (a) focus on design and problem solving as the basis for learning computer coding and (b) include elements to improve the engagement of girls. We ran multiple iterations of a Girls Design with Code Club…
Descriptors: Clubs, Females, Design, Problem Solving
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Zachary M. Savelson; Kasia Muldner – Computer Science Education, 2024
Background and Context: Productive failure (PF) is a learning paradigm that flips the order of instruction: students work on a problem, then receive a lesson. PF increases learning, but less is known about student emotions and collaboration during PF, particularly in a computer science context. Objective: To provide insight on students' emotions…
Descriptors: Student Attitudes, Psychological Patterns, Fear, Failure
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Valerie Critten; Hannah Hagon; Melike Aslan Unlu – International Journal of Computer Science Education in Schools, 2024
In light of current developments, there is an increasing effort to integrate computing-oriented activities into the education of children as young as two years old. Although the computing strand is not officially addressed in the Early Years Foundation Stage Statutory Framework (DfES, 2024), a small number of early years teachers in England…
Descriptors: Foreign Countries, Early Childhood Education, Computation, Problem Solving
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Loïs Vanhée; Karin Danielsson; Lena Enqvist; Kalle Grill; Melania Borit – European Journal of Education, 2024
Whereas hackathons are widespread within and outside academia and have been argued to be a valid pedagogical method for teaching interdisciplinarity, no detailed frameworks or methods are available for conceptualizing and organizing educational hackathons, i.e., hackathons dedicated to best achieving pedagogic objectives. This paper is dedicated…
Descriptors: Interdisciplinary Approach, Learning Activities, Programming, Computer Security
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Ellie Lovellette; Dennis J. Bouvier; John Matta – ACM Transactions on Computing Education, 2024
In recent years, computing education researchers have investigated the impact of problem context on students' learning and programming performance. This work continues the investigation motivated, in part, by cognitive load theory and educational research in computer science and other disciplines. The results of this study could help inform…
Descriptors: Computer Science Education, Student Evaluation, Context Effect, Problem Solving
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