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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
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
Andreas Giannakoulas; Stelios Xinogalos – Journal of Educational Computing Research, 2025
This study critically reviews sixteen empirical studies that investigate the various difficulties that primary school students encounter while learning programming through educational games. Specifically, the challenges that students face in understanding basic programming concepts and the game elements that contribute to these difficulties, as…
Descriptors: Elementary School Students, Elementary School Teachers, Programming, Game Based Learning
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
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
Evripidou, Salomi; Amanatiadis, Angelos; Christodoulou, Klitos; Chatzichristofis, Savvas A. – IEEE Transactions on Learning Technologies, 2021
Today, in the era of robotics, different types of educational robots have been used extensively in school classrooms to facilitate teaching activities related to a variety of computer science concepts. Numerous studies have been performed that attempt to examine the effects of using tangible interfaces to enhance collaborative learning…
Descriptors: Thinking Skills, Mathematics, Computation, Sequential Approach
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
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
Miller, Jodie – ZDM: The International Journal on Mathematics Education, 2019
Cross-curricula opportunities afforded by STEM education (Science, Technology, Engineering and Mathematics education), supports an environment where students can develop twenty-first century competencies. One approach to addressing cross-curricula opportunities in STEM education is the introduction of computer science (computer…
Descriptors: STEM Education, Interdisciplinary Approach, Thinking Skills, Coding
Harlow, Danielle B.; Dwyer, Hilary A.; Hansen, Alexandria K.; Iveland, Ashley O.; Franklin, Diana M. – Cognition and Instruction, 2018
This article integrates an ecological approach and design-based research in computer science education research by following the simultaneous development of a computer programming environment and curriculum for elementary school age children over 2-1/2 years. We studied the alignment of the affordances provided by the programming environment and…
Descriptors: Computer Science Education, Elementary School Students, Programming, Scaffolding (Teaching Technique)
Strawhacker, Amanda; Bers, Marina Umaschi – Educational Technology Research and Development, 2019
Computer programming for young children has grown in popularity among both educators and product developers, but still relatively little is known about what skills children are developing when they code. This study investigated N = 57 Kindergarten through second grade children's performance on a programming assessment after engaging in a 6-week…
Descriptors: Coding, Programming, Computer Science Education, Kindergarten
Twissell, Adrian – Educational Technology & Society, 2018
Abstract electronics concepts are difficult to develop because the phenomena of interest cannot be readily observed. Visualisation skills support learning about electronics and can be applied at different levels of representation and understanding (observable, symbolic and abstract). Providing learners with opportunities to make transitions…
Descriptors: Electronics, Case Studies, Concept Formation, Scientific Concepts
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