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Fu, Chanjuan; Hao, Xiaoxin; Shi, Donglin; Wang, Lin; Geng, Fengji – Education and Information Technologies, 2023
Coding learning can promote the development of computational thinking (CT) in young children. The effect of coding learning on CT may vary between different cultures. However, it lacks studies to evaluate the effect of coding learning on the various dimensions of CT in young Chinese children. To provide insight into this question, we recruited…
Descriptors: Foreign Countries, Young Children, Computation, Thinking Skills
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
Wu, Longkai; Looi, Chee-Kit; Multisilta, Jari; How, Meng-Leong; Choi, Hyungshin; Hsu, Ting-Chia; Tuomi, Pauliina – Asia-Pacific Education Researcher, 2020
Many education systems have recognized the importance of computational thinking and coding skills and are implementing curricular changes to introduce coding into formal school education. A necessary and critical success factor involves the preparation of and support for teachers to teach coding. Thus, understanding the perceptions of teachers…
Descriptors: Foreign Countries, Coding, Computer Science Education, Computation
Wang, Lin; Shi, Donglin; Geng, Fengji; Hao, Xiaoxin; Chanjuan, Fu; Li, Yan – Journal of Educational Research, 2022
Coding learning involves cognitive control ability that enables children to coordinate behaviors according to internally maintained goals. However, such ability is still developing during early childhood and cannot reach maturity at least until late adolescence. This study aimed to test whether integrating cognitive control strategies into online…
Descriptors: Cognitive Ability, Cognitive Processes, Cognitive Development, Self Control
Fang, Jian-Wen; Shao, Dan; Hwang, Gwo-Jen; Chang, Shao-Chen – Journal of Educational Computing Research, 2022
Scholars believe that computational thinking is one of the essential competencies of the 21st century and computer programming courses have been recognized as a potential means of fostering students' computational thinking. In tradition instruction, PFCT (problem identification, flow definition, coding, and testing) is a commonly adopted procedure…
Descriptors: Computation, Thinking Skills, Programming, Computer Science Education
Weipeng Yang – Journal of Educational Computing Research, 2024
Computational Thinking (CT) is essential for developing creativity, problem-solving, and digital competence in the 21st century. Coding tools like robotic toys and tablet apps have become popular in early childhood education to support CT development, but there is a debate on which tool is more effective. Little evidence exists on the effect of…
Descriptors: Coding, Preschool Children, Computation, Thinking Skills

Reynolds, Barbara E. – College Mathematics Journal, 1993
Discusses the history of different methods of representing numbers and how these representations facilitated counting and computing devices such as the abacus. (MDH)
Descriptors: Arithmetic, Calculators, Coding, Computation
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use