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Chih-Hung Chen; Hsiang-Yu Chung – Journal of Educational Computing Research, 2024
Computational thinking (CT) has gained considerable attention and in-depth discussion over the last two decades. Although the significance of CT has been highlighted, it could be challenging for educators to teach CT. Fortunately, adopting robots in education has been evidenced to be of benefit to promoting students' learning motivation, CT, and…
Descriptors: Computation, Thinking Skills, Teaching Methods, Programming
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Chen, Ching-Huei; Liu, Tung-Kai; Huang, Kun – Journal of Research on Technology in Education, 2023
With the rapid development of artificial intelligence in many disciplines, computational thinking (CT) has become an important skill for the 21st century. To promote vocational high school students' CT skills in learning about programmable logic controllers, this study intended to examine how cognitive and metacognitive prompts separately or…
Descriptors: Vocational High Schools, High School Students, Thinking Skills, Computation
Julian Fraillon, Editor – International Association for the Evaluation of Educational Achievement, 2024
This book presents the first results from the third cycle of the IEA International Computer and Information Literacy Study (ICILS 2023). This study investigated how young people are prepared for life in a world where the capacity to use computers and digital information responsibly, safely, and effectively is essential. The study reports on data…
Descriptors: Digital Literacy, Foreign Countries, Information Technology, Communications
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Tsai, Meng-Jung; Liang, Jyh-Chong; Hsu, Chung-Yuan – Journal of Educational Computing Research, 2021
Computational thinking has received tremendous attention from computer science educators and educational researchers in the last decade. However, most prior literature defines computational thinking as thinking outcomes rather than thinking processes. Based on Selby and Woodland's framework, this study developed and validated the Computational…
Descriptors: Computation, Thinking Skills, Skill Development, Technological Literacy
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Liu, Yu-Cheng; Liang, Chaoyun – International Journal of Educational Psychology, 2020
Differences exist between engineering and liberal arts students because of their educational backgrounds. Therefore, they solve problems differently. This study examined the brain activation of these two groups of students when they responded to 12 questions of verbal, numerical, or spatial intelligence. A total of 25 engineering and 25 liberal…
Descriptors: Problem Solving, Engineering Education, Spatial Ability, Liberal Arts
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Lewandowsky, Stephan; Yang, Lee-Xieng; Newell, Ben R.; Kalish, Michael L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2012
Working memory is crucial for many higher level cognitive functions, ranging from mental arithmetic to reasoning and problem solving. Likewise, the ability to learn and categorize novel concepts forms an indispensable part of human cognition. However, very little is known about the relationship between working memory and categorization. This…
Descriptors: Program Effectiveness, Classification, Structural Equation Models, Short Term Memory