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Showing 1 to 15 of 24 results Save | Export
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Chen Sun; Stephanie Yang; Betsy Becker – Journal of Educational Computing Research, 2024
Computational thinking (CT), an essential 21st century skill, incorporates key computer science concepts such as abstraction, algorithms, and debugging. Debugging is particularly underrepresented in the CT training literature. This multi-level meta-analysis focused on debugging as a core CT skill, and investigated the effects of various debugging…
Descriptors: Troubleshooting, Computation, Thinking Skills, Intervention
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Ioannis Vourletsis – Educational Technology Research and Development, 2025
Computational thinking (CT) skills have become increasingly important in modern education, as they equip students with critical problem-solving skills applicable across various domains. Given the growing emphasis on digital literacy, it is essential to investigate grade- and gender-level differences in CT skills among students to support targeted…
Descriptors: Gender Differences, Instructional Program Divisions, Elementary School Students, Scores
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Polat, Elif; Yilmaz, Rabia Meryem – Education and Information Technologies, 2022
The aim of this study is to compare the effects of unplugged and plugged-in activities on academic achievement and computational thinking (CT) skills of sixth-grade students. Mixed-method research was carried out to explore whether there were differences between the groups, and to learn the students' opinions and experiences regarding the…
Descriptors: Learning Activities, Programming, Computer Science Education, Computation
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Yan Lin; Hongjian Liao; Suxian Weng; Wanqi Dong – Education and Information Technologies, 2024
Children's preschool years are crucial for the development of computational thinking (CT) skills. However, debate continues regarding whether CT should be developed through plugged-in or unplugged activities. This study investigated the similarities and differences between plugged-in and unplugged activities with similar learning content and…
Descriptors: Learning Activities, Computer Science Education, Teaching Methods, Thinking Skills
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Li, Xing; Xie, Kui; Vongkulluksn, Vanessa; Stein, David; Zhang, Yi – Journal of Research on Technology in Education, 2023
Computational Thinking (CT) is regarded as a crucial competency for all children in the 21st century. There are misconceptions about CT which confounds CT skills with programming skills. However, CT skills and programming skills are not the same. CT is a broader skillset of cognitive thinking that is integral to complex problem solving. Teaching…
Descriptors: Elementary School Students, Computation, Thinking Skills, Self Concept
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Merino-Armero, José Miguel; González-Calero, José Antonio; Cózar-Gutiérrez, Ramón – Journal of Research on Technology in Education, 2022
The interest in computational thinking development at pre-university education stage is increasing. In this study, a meta-analysis was conducted to address two main objectives: (a) to analyze the effectiveness of empirical interventions in K-12 education for the development of Computational Thinking (CT); and (b) to identify and evaluate the…
Descriptors: Meta Analysis, Computer Science Education, Thinking Skills, Intervention
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Kyungbin Kwon; Thomas A. Brush; Keunjae Kim; Minhwi Seo – Journal of Educational Computing Research, 2025
This study examined the effects of embodied learning experiences on students' understanding of computational thinking (CT) concepts and their ability to solve CT problems. In a mixed-reality learning environment, students mapped CT concepts, such as sequencing and loops, onto their bodily movements. These movements were later applied to robot…
Descriptors: Thinking Skills, Computer Science Education, Robotics, Programming
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Rafael Herrero-Álvarez; Coromoto León; Gara Miranda; Eduardo Segredo; Óscar Socas; María Cuellar-Moreno; Daniel Caballero-Juliá – International Journal of Computer Science Education in Schools, 2023
Emotions play a crucial role in knowledge acquisition and can significantly impact motivation when studying a new field. Unfortunately, young people, especially girls, are often not drawn to Computer Science. To address this issue, we conducted an analysis of emotions among 8-9-year-old and 12-13-year-old students engaged in Computational Thinking…
Descriptors: Computation, Thinking Skills, Learning Activities, Student Characteristics
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Ye, Jiachu; Lai, Xiaoyan; Wong, Gary Ka-Wai – Journal of Computer Assisted Learning, 2022
Background: Computational thinking (CT) is regarded as an essential 21st-century skill, and attempts have been made to integrate it into other subjects. Instructional approaches to CT development and assessment in the field of computer science have attracted global attention, but the influence of CT skills on other subject areas is…
Descriptors: Transfer of Training, Thinking Skills, Meta Analysis, 21st Century Skills
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Nitesh Kumar Jha; Plaban Kumar Bhowmik; Kaushal Kumar Bhagat – Educational Technology Research and Development, 2024
A majority of research in Computational Thinking (CT) mainly focuses on teaching coding to school students. However, CT involves more than just coding and includes other skills like algorithmic thinking. The current study developed an Online Inquiry-based Learning Platform for Computational Thinking (CT-ONLINQ) that follows Inquiry-Based Learning…
Descriptors: Thinking Skills, Computer Science Education, Comparative Analysis, Problem Solving
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Saba, Janan; Hel-Or, Hagit; Levy, Sharona T. – Instructional Science: An International Journal of the Learning Sciences, 2023
This article concerns the synergy between science learning, understanding complexity, and computational thinking (CT), and their impact on near and far learning transfer. The potential relationship between computer-based model construction and knowledge transfer has yet to be explored. We studied middle school students who modeled systemic…
Descriptors: Transfer of Training, Science Instruction, Learning Management Systems, Learning Processes
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Lockwood, Elise – Cognition and Instruction, 2022
In this paper, I discuss undergraduate students' engagement in basic Python programming while solving combinatorial problems. Students solved tasks that were designed to involve programming, and they were encouraged to engage in activities of prediction and reflection. I provide data from two paired teaching experiments, and I outline how the task…
Descriptors: Undergraduate Students, Thinking Skills, Prediction, Teaching Methods
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Ginat, David – Informatics in Education, 2021
The notion of algorithm may be perceived in different levels of abstraction. In the lower levels it is an operational set of instructions. In higher levels it may be viewed as an object with properties, solving a problem with characteristics. Novices mostly relate to the lower levels. Yet, higher levels are very relevant for them as well. We…
Descriptors: Problem Solving, Computation, Comparative Analysis, Competence
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del Olmo-Muñoz, Javier; Cózar-Gutiérrez, Ramón; González-Calero, José Antonio – International Journal of Technology and Design Education, 2022
The inclusion of Computational Thinking (CT) in the classroom along with the promotion of positive attitudes in early ages towards technology have great relevance in the current educational paradigm. This study analyses whether CT instruction may improve pupils' attitudes towards technology, and also considers whether instructional approaches and…
Descriptors: Grade 2, Elementary School Students, Student Attitudes, Comparative Analysis
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Aksit, Osman; Wiebe, Eric N. – Journal of Science Education and Technology, 2020
Computational thinking (CT) and modeling are authentic practices that scientists and engineers use frequently in their daily work. Advances in computing technologies have further emphasized the centrality of modeling in science by making computationally enabled model use and construction more accessible to scientists. As such, it is important for…
Descriptors: Thinking Skills, Science Instruction, Teaching Methods, Computer Science Education
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