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Andreas Brandsaeter; Runar Lie Berge – Educational Studies in Mathematics, 2025
The reasons for teaching programming in school are indeed manifold. Programming can for example be utilized as a vehicle for understanding and learning particular mathematical subject matter, or as a tool for solving mathematical problems. In this paper, however, we propose to utilize programming as a vehicle for developing mathematical…
Descriptors: Mathematics Skills, Skill Development, Competence, Programming
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Huiyan Ye; Biyao Liang; Oi-Lam Ng – Journal of Computer Assisted Learning, 2025
Background: Empirical studies have revealed students' development of computational thinking (CT) and mathematical thinking (MT) during programming-based mathematical problem-solving, highlighting specific CT concepts or practices that serve as learning goals or outcomes. However, implementing programming-based mathematics instruction requires…
Descriptors: Mathematics Instruction, Teaching Methods, Programming, Computation
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Kartini Herlina; Abdurrahman Abdurrahman; Ahmad Naufal Umam; Ayu Nurjanah; Ghani Fadhil Rabbani; Ficha Aulia Indah Pratiwi – Journal of Technology and Science Education, 2025
Nowadays, physics learning in the classroom should no longer only focus on achieving academics. It must prepare students to face challenges in the future. One of the abilities that are important for learners is problem solving, and the problem-solving ability that is becoming increasingly important in today's digital era is computational thinking…
Descriptors: Computation, Thinking Skills, Skill Development, Worksheets
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Tarattakan Pachumwon; Thada Jantakoon; Rukthin Laoha – Higher Education Studies, 2025
This study introduces CAILE, a design thinking-driven conceptual framework for a Creative AI Learning Environment, designed to enhance programming skills. Evaluates clarity, appropriateness, and feasibility through expert judgment. Phase 1 synthesized 34 peer-reviewed studies (2019-2025) to articulate CAILE's structure across three layers: Inputs…
Descriptors: Creativity, Artificial Intelligence, Technology Uses in Education, Programming
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Christopher R. Niileksela; Daniel B. Hajovsky; Zhizhou He; Ethan F. Villeneuve – Journal of Psychoeducational Assessment, 2025
Cognitive-achievement relations research suggests that cognitive abilities are instrumental for academic skill development. This study examined cognitive-achievement relations with the newly revised Woodcock-Johnson V (WJ V) standardization sample across the lifespan (ages 6-90+) for reading, writing, and mathematics using multi-group structural…
Descriptors: Cognitive Ability, Cognitive Tests, Achievement Tests, Academic Achievement
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Jia-Hua Zhao; Shu-Tao Shangguan; Ying Wang – Journal of Computer Assisted Learning, 2025
Background: Computational thinking (CT) is a fundamental ability required of individuals in the 21st-century digital world. Past studies show that generative artificial intelligence (GenAI) can enhance students' CT skills. However, GenAI may produce inaccurate output, and students who rely too much on AI may learn little and be unable to think…
Descriptors: Artificial Intelligence, Technology Uses in Education, Skill Development, Computation
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Giorgia Adorni; Alberto Piatti; Engin Bumbacher; Lucio Negrini; Francesco Mondada; Dorit Assaf; Francesca Mangili; Luca Maria Gambardella – Technology, Knowledge and Learning, 2025
In recent years, the emphasis on computational thinking (CT) has intensified as an effect of accelerated digitalisation. While most researchers are concentrating on defining CT and developing tools for its instruction and assessment, we focus on the characteristics of computational thinking problems (CTPs) -- activities requiring CT to be…
Descriptors: Computation, Thinking Skills, Problem Solving, Learning Activities
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Gunawan; Ferry Ferdianto; Nuhyal Ulia; Lukmanul Akhsani; Reni Untarti; Istiqomah – Mathematics Teaching Research Journal, 2025
Computational thinking is an essential ability for students in the 21st century. Therefore, this study described students' mathematical computational thinking process in terms of self-efficacy of eighth graders, consisting of 32 students. The applied instruments were self-efficacy questionnaires, computational thinking ability tests, and interview…
Descriptors: Thinking Skills, Computation, Self Efficacy, Grade 8
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Timothy H. Lehmann – Research in Mathematics Education, 2025
This study addresses a gap in the empirical research about how students use computational thinking (CT) skills throughout the problem-solving process, which is a crucial skill for STEM learning. I conducted task-based interviews with two pairs of Year 8 students with strong mathematical problem-solving skills and previous experience in solving…
Descriptors: Computation, Thinking Skills, Problem Solving, STEM Education
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Anass Bayaga – International Journal of Technology in Education, 2025
This investigation explored the role of artificial intelligence (AI)-powered gamification on mathematics cognition through a mixed-methods design, blending an intervention with a gamified learning application (app) and a survey to evaluate student engagement and performance. The study explores the nexus of gamification, AI, and mathematics…
Descriptors: Artificial Intelligence, Problem Solving, Game Based Learning, Mathematics Instruction
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Jessica Swenson; Aaron W. Johnson; Karen Miel; Melissa Caserto; Max Magee; J. Boomer Perry; Chloe Kimberlin; Krista Beranger; John Toftegaard – Journal of Engineering Education, 2025
Background: In professional contexts, engineers use engineering judgment to create mathematical models. Despite the importance of judgment in professional practice, the development and enactment of engineering judgment by engineering students are understudied. To better prepare students for engineering careers, there is a need to recognize and…
Descriptors: Taxonomy, Engineering Education, Undergraduate Students, Evaluative Thinking
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Jillian Dawes; Daniel F. McCleary; Cutler Ruby; Dallin Marr; Lauren E. Biggs – Contemporary School Psychology, 2025
Mathematics intervention research has established several effective interventions for building accuracy and fluency of math fact computation, as well as components that may improve student learning rates. While several evidence-based interventions promoting math fact accuracy and fluency exist, further work is needed to determine additional…
Descriptors: Mathematics Education, Intervention, Computation, Thinking Skills
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Wendy Huang; Chee-Kit Looi; Misong Kim – International Journal of Science and Mathematics Education, 2025
Much attention has been paid to computational thinking (CT) as a problem-solving approach across various curricula, particularly in mathematics. Most studies solely used a digital instrument or examined transfer of program solving ability, neglecting the mathematics knowledge domain or how the novel digital instrument functions alongside the…
Descriptors: Epistemology, Computer Uses in Education, Programming, Secondary School Mathematics
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Roberto Carlos Torres-Peña; Darwin Peña-González; Edwan Anderson Ariza-Echeverri – International Journal of Early Childhood, 2025
This study addresses the critical issue of mathematical underperformance among preschoolers in Yopal Casanare, Colombia, through the perspective of an action research project. It focuses on the design and implementation of a didactic unit aimed at promoting numerical thinking, specifically seriation and structured counting, in preschool students.…
Descriptors: Preschool Children, Mathematics Skills, Numeracy, Computation
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Ruijie Zhou; Yangyang Li; Xiuling He; Chunlian Jiang; Jing Fang; Yue Li – Education and Information Technologies, 2024
Computational thinking (CT), as one of the key skills in the twenty-first century, has been integrated into educational programming as an important learning goal. This study aims to explore CT processes involved in pair programming with the support of visual flow design. Thirty freshmen participated, working in pairs to solve two programming…
Descriptors: Undergraduate Study, Computation, Thinking Skills, Cognitive Processes
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