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Dan Sun; Fan Xu – Journal of Educational Computing Research, 2025
Real-time collaborative programming (RCP), which allows multiple programmers to work concurrently on the same codebase with changes instantly visible to all participants, has garnered considerable popularity in higher education. Despite this trend, little work has rigorously examined how undergraduates engage in collaborative programming when…
Descriptors: Cooperative Learning, Programming, Computer Science Education, Undergraduate Students
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Bhagya Munasinghe; Tim Bell; Anthony Robins – ACM Transactions on Computing Education, 2023
In learning to program and understanding how a programming language controls a computer, learners develop both insights and misconceptions whilst their mental models are gradually refined. It is important that the learner is able to distinguish the different elements and roles of a computer (compiler, interpreter, memory, etc.), which novice…
Descriptors: Computation, Thinking Skills, Programming, Programming Languages
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Diamond, Harvey – PRIMUS, 2023
This paper presents a series of basic computational problems that are mathematically and/or graphically appealing, and provides an idea of places one might go in trying to understand what is happening, integrating mathematics, computation, and graphics. The real point of this paper is to make a case, through those examples, for computation as an…
Descriptors: Mathematics Instruction, Computation, College Mathematics, Undergraduate Study
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Irem Nur Çelik; Kati Bati – Informatics in Education, 2025
In this study, we aimed to investigate the impact of cooperative learning on the computational thinking skills and academic performances of middle school students in the computational problem-solving approach. We used the pretest-posttest control group design of the quasiexperimental method. In the research, computational problem-solving…
Descriptors: Cooperative Learning, Academic Achievement, Computation, Thinking Skills
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Michael E. Ellis; K. Mike Casey; Geoffrey Hill – Decision Sciences Journal of Innovative Education, 2024
Large Language Model (LLM) artificial intelligence tools present a unique challenge for educators who teach programming languages. While LLMs like ChatGPT have been well documented for their ability to complete exams and create prose, there is a noticeable lack of research into their ability to solve problems using high-level programming…
Descriptors: Artificial Intelligence, Programming Languages, Programming, Homework
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Zhou, Ying; Chai, Ching Sing; Li, Xiuting; Ma, Chao; Li, Baoping; Yu, Ding; Liang, Jyh-Chong – Journal of Educational Computing Research, 2023
Computational thinking is a way of thinking that helps people "think like a computer scientist" to solve practical problems. However, practicing computational thinking through programming is dependent on the problem solvers' metacognition. This study investigated students' metacognitive planning and problem-solving performance in…
Descriptors: Metacognition, Computation, Thinking Skills, Problem Solving
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Morten Munthe; Margrethe Naalsund – Digital Experiences in Mathematics Education, 2024
The growing use of programming in mathematics classrooms presents a challenge linked to implementation in general and task design in particular. This article presents design ideas for mathematical problems incorporating programming in which the focus remains mainly on learning mathematics and less on learning programming. The article starts by…
Descriptors: Programming, Mathematics Instruction, Task Analysis, Design
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Shin, Yoonhee; Jung, Jaewon; Zumbach, Joerg; Yi, Eunseon – Journal of Educational Computing Research, 2023
This study explores the effects of worked-out examples and metacognitive scaffolding on novice learners' knowledge performance, cognitive loads, and self-regulation skills in problem-solving programming. 126 undergraduate students in a computer programming fundamentals course were randomly assigned to one of four groups: (1) task performance with…
Descriptors: Problem Solving, Metacognition, Scaffolding (Teaching Technique), Programming
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Ng, Oi-Lam; Leung, Allen; Ye, Huiyan – ZDM: Mathematics Education, 2023
Programming is an interdisciplinary practice with applications in both mathematics and computer science. Mathematics concerns rigor, abstraction, and generalization. Computer science predominantly concerns efficiency, concreteness, and physicality. This makes programming a medium for problem solving that mediates between mathematics and computer…
Descriptors: Computation, Thinking Skills, Programming, Programming Languages
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Muldner, Kasia; Jennings, Jay; Chiarelli, Veronica – ACM Transactions on Computing Education, 2023
This article reviews literature on worked examples in the context of programming activities. We focus on two types of examples, namely, code-tracing and code-generation, because there is sufficient research on these to warrant a review. We synthesize key results according to themes that emerged from the review. This synthesis aims to provide…
Descriptors: Problem Solving, Programming, Computer Science Education, Literature Reviews
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Chih-Yueh Chou; Wei-Han Chen – Educational Technology & Society, 2025
Studies have shown that students have different help-seeking behavior patterns and tendencies and furthermore, that students with certain help-seeking behavior patterns and tendencies may have poor performance (i.e., at-risk students). This study applied an educational data mining approach, including clustering and classification, to analyze…
Descriptors: Student Behavior, Help Seeking, Problem Solving, Information Retrieval
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Abdullahi Yusuf; Norah Md Noor – Smart Learning Environments, 2024
In recent years, programming education has gained recognition at various educational levels due to its increasing importance. As the need for problem-solving skills becomes more vital, researchers have emphasized the significance of developing algorithmic thinking (AT) skills to help students in program development and error debugging. Despite the…
Descriptors: Students, Programming, Algorithms, Problem Solving
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Tsung-Chih Hsiao; Ya-Hsueh Chuang; Chien-Yun Chang; Tzer-Long Chen; Hong-Bo Zhang; Jhih-Chung Chang – SAGE Open, 2023
The capability of computer programming language logic is one of the basics of technical education. How to improve students "interest in program logic design and help overcome students" fears of coding has become vital for educators. Cultivating practical talents with information technology application and basic programming development…
Descriptors: Computer Science Education, Computation, Thinking Skills, Programming
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Ragonis, Noa; Shmallo, Ronit – Informatics in Education, 2022
Object-oriented programming distinguishes between instance attributes and methods and class attributes and methods, annotated by the "static" modifier. Novices encounter difficulty understanding the means and implications of "static" attributes and methods. The paper has two outcomes: (a) a detailed classification of aspects of…
Descriptors: Programming, Computer Science Education, Concept Formation, Thinking Skills
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Bati, Kaan – Informatics in Education, 2022
This study reports the findings of a program that aims to develop pre-service science teachers' computational problem-solving skills and views on using information and communications technology in science education. To this end, pre-service science teachers were trained on computational thinking, computational problem solving, designing an…
Descriptors: Foreign Countries, Programming, Programming Languages, Technology Integration
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