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Meghan M. Parkinson; Seppe Hermans; David Gijbels; Daniel L. Dinsmore – Computer Science Education, 2024
Background and Context: More data are needed about how young learners identify and fix errors while programming in pairs. Objective: The study will identify discernible patterns in the intersection between debugging processes and the type of regulation used during debugging while children engage in coding to drive further theory and model…
Descriptors: Computer Science Education, Troubleshooting, Cooperative Learning, Coding
Yun Dai – Education and Information Technologies, 2025
There is a growing consensus that AI literacy requires a holistic lens, including not only technical knowledge and skills but also social and ethical considerations. Yet, providing holistic AI education for upper-primary students remains challenging due to the abstract and complex nature of AI and a lack of pedagogical experiences in schools.…
Descriptors: Integrated Activities, Holistic Approach, Artificial Intelligence, Computer Science Education
Xinlei Li; Guoyuan Sang; Martin Valcke; Johan van Braak – Education and Information Technologies, 2024
Computational thinking (CT) is valued as a thinking process that is required to adapt to the development of curriculum in primary education. In the context of modern information technology, English as a language subject emphasizes the necessity for changes in both learning and teaching modes. However, there is a lack of up-to-date synthesis…
Descriptors: Computer Science Education, Technological Literacy, Pedagogical Content Knowledge, Elementary School Students
C. Florou; G. Stamoulis; A. Xenakis; A. Plageras – Education and Information Technologies, 2025
This study focuses on students' self-assessment during their learning process related to computer programming concepts, taking into account challenges and obstacles both teachers and students face, with the aim to contribute to the development of guiding principles and practices and enhance the teaching process of computer programming in primary…
Descriptors: Teacher Role, Self Evaluation (Individuals), Computer Science Education, Programming
Liu, Zhichun; Moon, Jewoong – Educational Technology & Society, 2023
In this study, we have proposed and implemented a sequential data analytics (SDA)-driven methodological framework to design adaptivity for digital game-based learning (DGBL). The goal of this framework is to facilitate children's personalized learning experiences for K-5 computing education. Although DGBL experiences can be beneficial, young…
Descriptors: Learning Analytics, Design, Game Based Learning, Computation
Baichang Zhong; Xiaofan Liu; Shuiyan Huang – Technology, Pedagogy and Education, 2025
While pair learning (PL) is considered a potential method in STEM education including robotics education (RE), the question of how to pair students for superior learning effects remains. Current grouping strategies for PL in RE are constrained by fixed grouping (FG) and short of attention to dynamic grouping (DG). Therefore, this study aims to…
Descriptors: Robotics, Cooperative Learning, Comparative Analysis, Computer Science Education
Qing Yu; Kun Yu; Baomin Li – Journal of Educational Computing Research, 2025
Computer programming is regarded as an important skill for the future. However, many K-12 students face challenges and difficulties in learning traditional text-based programming. Block-based visual programming (BVP) can reduce the difficulty of learning programming and is seen as a potential programming education tool. Nevertheless, the effects…
Descriptors: Programming, Computer Science Education, Visual Aids, Outcomes of Education
Francesco C. Ugolini; Panagiotis Kakavas – Research on Education and Media, 2024
This study consists of a 17-year (2006-2021) systematic literature review on the effective instructional strategies for developing Computational Thinking (CT) in primary school students (K-5). The aim of this paper is to identify instructional strategies that have been implemented and evaluated by means of a pre- and post-test, with the aim of…
Descriptors: Teaching Methods, Computer Science Education, Kindergarten, Elementary School Students
Shian-Shyong Tseng; Tsung-Yu Yang; Wen-Chung Shih; Bo-Yang Shan – Interactive Learning Environments, 2024
In this paper, to handle the problem of the quick evolution of cyber-security attacks, we developed the iMonsters board game and proposed the attack and defense knowledge self-evolving algorithm. Three versions of the iMonsters were launched in 2013, 2017, and 2019, respectively. Accordingly, the cyber-security ontology can be refined by the…
Descriptors: Educational Games, Computer Security, Computer Science Education, Game Based Learning
Qu, Jing Ru; Fok, Ping Kwan – International Journal of Technology and Design Education, 2022
This research focuses on student-robot interaction in the learning environment of robotics education (RE) and attempts to explore how it cultivates students' computational thinking (CT). Different from child-robot interactions as investigated in the social robot field, student-robot (S-R) interactions focus mainly on the process of interaction…
Descriptors: Robotics, Teaching Methods, Student Role, Thinking Skills
Neutens, Tom; Barbion, Evelien; Coolsaet, Kris; wyffels, Francis – Journal of Computer Assisted Learning, 2021
In the last few years, programming, computational thinking, and robotics are more frequently integrated into elementary education. This integration can be done in many different ways. However, it is still unclear which teaching methods work in which situations. To provide some clarity in this area, we compared two methods of integrating…
Descriptors: Programming, Computer Science Education, Robotics, Thinking Skills
DeLiema, David; Kwon, Yejin Angela; Chisholm, Andrea; Williams, Immanuel; Dahn, Maggie; Flood, Virginia J.; Abrahamson, Dor; Steen, Francis F. – Cognition and Instruction, 2023
When teachers, researchers, and students describe productively responding to moments of failure in the learning process, what might this mean? Blending prior theoretical and empirical research on the relationship between failure and learning, and empirical results from four data sets that are part of a larger design-based research project, we…
Descriptors: Guidelines, Learning Processes, Correlation, Failure
Prado, Yenda; Jacob, Sharin; Warschauer, Mark – Computer Science Education, 2022
Background and Context: Computational Thinking (CT) is a skill all students should learn. This requires using inclusive approaches to teach CT to a wide spectrum of students. However, strategies for teaching CT to students with exceptionalities are not well studied. Objective: This study draws on lessons learned in two fourth-grade classrooms --…
Descriptors: Thinking Skills, Computer Science Education, Special Education, Teaching Methods
Kjällander, Susanne; Mannila, Linda; Åkerfeldt, Anna; Heintz, Fredrik – Education Sciences, 2021
Digital competence and programming are actively highlighted areas in education worldwide. They are becoming part of curricula all over the world, including the Swedish elementary school curriculum, Children are expected to develop "computational thinking" through programming activities, mainly in mathematics--which are supposed to be…
Descriptors: Elementary School Students, National Curriculum, Computer Science Education, Programming
Saito, Daisuke; Kaieda, Shota; Washizaki, Hironori; Fukazawa, Yoshiaki – Journal of Information Technology Education: Innovations in Practice, 2020
Aim/Purpose: Although many computer science measures have been proposed, visualizing individual students' capabilities is difficult, as those measures often rely on specific tools and methods or are not graded. To solve these problems, we propose a rubric for measuring and visualizing the effects of learning computer programming for elementary…
Descriptors: Scoring Rubrics, Visualization, Learning Analytics, Computer Science Education
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