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Yu-Sheng Su; Shuwen Wang; Xiaohong Liu – Journal of Educational Computing Research, 2024
Pair programming (PP) can help improve students' computational thinking (CT), but the trajectory of CT skills and the differences between high-scoring and low-scoring students in PP are unknown and need further exploration. In this study, a total of 32 fifth graders worked on Scratch tasks in 16 pairs. The group discourse of three learning topics…
Descriptors: Epistemology, Network Analysis, Elementary School Students, Computation
Chih-Ming Chen; Ming-Yan Huang – International Journal of STEM Education, 2024
Background: Computational thinking (CT) is crucial to fostering critical thinking and problem-solving skills. Many elementary schools have been cultivating students' CT through block-based programming languages such as Scratch using traditional teacher-centered teaching methods. However, the approach excessively relies on teacher lectures, so the…
Descriptors: Computation, Thinking Skills, Programming, Learning Processes
Peng Chen; Dong Yang; Jia Zhao; Shu Yang; Jari Lavonen – Journal of Computer Assisted Learning, 2025
Background: Computational thinking (CT) refers to the ability to represent problems, design solutions and migrate solutions computationally. While previous studies have shown that self-explanation can enhance students' learning, few empirical studies have examined the effects of using different self-explanation prompts to cultivate students' CT…
Descriptors: Computation, Thinking Skills, Programming, Learning Processes
Kesler, Avital; Shamir-Inbal, Tamar; Blau, Ina – Journal of Educational Computing Research, 2022
The integration of visual programming in early formal education has been found to promote computational thinking of students. Teachers' intuitive perspectives about optimal learning processes -- "folk psychology" -- impact their perspectives about teaching "folk pedagogy" and play a significant role in integrating educational…
Descriptors: Programming, Coding, Constructivism (Learning), Intuition
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
Melro, Ana; Tarling, Georgie; Fujita, Taro; Kleine Staarman, Judith – Journal of Educational Computing Research, 2023
Underpinning the teaching of coding with Computational Thinking has proved relevant for diverse learners, particularly given the increasing demand in upskilling for today's labour market. While literature on computing education is vast, it remains unexplored how existing CT conceptualisations relate to the learning opportunities needed for a…
Descriptors: Coding, Computation, Thinking Skills, Learning Processes
Ayesha Sohail; Huma Akram – Pedagogical Research, 2025
The ability to properly evaluate one's own academic progress has long been considered a predictor of academic success. However, its distinctive role in the context of computational mathematics remains underexplored. Grounded in social cognitive theory, this study investigates the critical role of self-regulated learning (SRL) strategies in…
Descriptors: Undergraduate Students, Mathematics Education, Mathematics Achievement, Self Evaluation (Individuals)
Bilgic, Kiraz; Dogusoy, Berrin – Education and Information Technologies, 2023
The importance of developing computational thinking (CT) skills has created many practices and research. A significant amount of research exists in the literature on CT and its related skills, yet the rareness of research studies focusing on both quantitative and qualitative evaluations of students' CT skills in real school settings is remarkable.…
Descriptors: Secondary School Students, Computation, Thinking Skills, Programming
Alejandra J. Magana; Joreen Arigye; Abasiafak Udosen; Joseph A. Lyon; Parth Joshi; Elsje Pienaar – International Journal of STEM Education, 2024
Background: This study posits that scaffolded team-based computational modeling and simulation projects can support model-based learning that can result in evidence of representational competence and regulatory skills. The study involved 116 students from a second-year thermodynamics undergraduate course organized into 24 teams, who worked on…
Descriptors: Scaffolding (Teaching Technique), Thermodynamics, Science Education, Undergraduate Study
Li, Jiansheng; Liu, Jiao; Yuan, Rui; Shadiev, Rustam – Educational Technology & Society, 2022
This study explores the role of socially shared regulation on computational thinking performance in cooperative learning. Ninety-four middle school students from China aged between 16 and 18 participated in this study. Forty-six students were in the experimental group, and 48 students were in the control group. Students in the experimental group…
Descriptors: Computation, Thinking Skills, Cooperative Learning, Foreign Countries
Eloy, Adelmo; Achutti, Camila F.; Fernandez, Cassia; Lopes, Roseli de Deus – Informatics in Education, 2022
Integrating computational thinking into K-12 Education has been a widely explored topic in recent years. Particularly, effective assessment of computational thinking can support the understanding of how learners develop computational concepts and practices. Aiming to help advance research on this topic, we propose a data-driven approach to assess…
Descriptors: Computation, Thinking Skills, Learning Processes, Evaluation Methods
Salehi, Ozlem; Seskir, Zeki; Tepe, Ilknur – IEEE Transactions on Education, 2022
Contribution: In this study, an alternative educational approach for introducing quantum computing to a wider audience is highlighted. The proposed methodology considers quantum computing as a generalized probability theory rather than a field emanating from physics and utilizes quantum programming as an educational tool to reinforce the learning…
Descriptors: Computer Science Education, Quantum Mechanics, Computation, Teaching Methods
Wu, Wan-Rou; Yang, Kai-Lin – Cogent Education, 2022
This review study synthesises the literature on how computational thinking (CT) and mathematical thinking (MT) are integrated into mathematics education research with a focus on tasks. A review of 28 relevant articles on the Web of Science Core Collection database indicated that (1) CT helps students develop and apply mathematical concepts and…
Descriptors: Computation, Mathematics Education, Thinking Skills, Relationship
Hsu, Ting-Chia; Abelson, Hal; Van Brummelen, Jessica – International Review of Research in Open and Distributed Learning, 2022
The purpose of this study was to design a curriculum of artificial intelligence (AI) application for secondary schools. The learning objective of the curriculum was to allow students to learn the application of conversational AI on a block-based programming platform. Moreover, the empirical study actually implemented the curriculum in the formal…
Descriptors: Secondary School Students, Experiential Learning, Curriculum Design, Artificial Intelligence
Zhizezhang Gao; Haochen Yan; Jiaqi Liu; Xiao Zhang; Yuxiang Lin; Yingzhi Zhang; Xia Sun; Jun Feng – International Journal of STEM Education, 2025
Background: With the increasing interdisciplinarity between computer science (CS) and other fields, a growing number of non-CS students are embracing programming. However, there is a gap in research concerning differences in programming learning between CS and non-CS students. Previous studies predominantly relied on outcome-based assessments,…
Descriptors: Computer Science Education, Mathematics Education, Novices, Programming
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