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Supanun Pimdee; Thapanee Seechaliao – Journal of Education and Learning, 2025
The research objectives were to 1) study the current conditions, problems, and good practices regarding teaching and learning 2) develop a blended instructional model using problem-based learning with graphic organizers to enhance systems thinking skills in computational science for students in lower secondary school and 3) study the results of…
Descriptors: Blended Learning, Instructional Materials, Secondary School Students, Grade 7
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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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Finke, Sabrina; Kemény, Ferenc; Sommer, Markus; Krnjic, Vesna; Arendasy, Martin; Slany, Wolfgang; Landerl, Karin – Computer Science Education, 2022
Background: Key to optimizing Computational Thinking (CT) instruction is a precise understanding of the underlying cognitive skills. Román-González et al. (2017) reported unique contributions of spatial abilities and reasoning, whereas arithmetic was not significantly related to CT. Disentangling the influence of spatial and numerical skills on CT…
Descriptors: Spatial Ability, Cognitive Ability, Abstract Reasoning, Arithmetic
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Durak, Hatice Yildiz; Yilmaz, Fatma Gizem Karaoglan; Yilmaz, Ramazan – Contemporary Educational Technology, 2019
The purpose of this study was to determine the skill levels of secondary school students regarding computational thinking, programming self-efficacy and reflective thinking aimed at problem solving and examine their experiences in the programming training process on robotic activities. Toward this purpose, a 10-week application was conducted with…
Descriptors: Computation, Thinking Skills, Programming, Computer Science Education
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Altin, Rukiye; Tokel, Tugba; Delialioglu, Omer – Journal of Computers in Mathematics and Science Teaching, 2021
The focus on Computer Science Education at the K-12 level has been increasingly highlighted due to today's need for a populace with computational thinking skills, in addition to the expansion of careers related to computing and computer science. Programming helps facilitate students' examination of the nature of a problem and helps students to…
Descriptors: Mathematics Instruction, Instructional Effectiveness, Interdisciplinary Approach, Computer Science Education
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von Wangenheim, Christiane Gresse; Alves, Nathalia Cruz; Rodrigues, Pedro Eurico; Hauck, Jean Carlo – International Journal of Computer Science Education in Schools, 2017
In order to be well-educated citizens in the 21st century, children need to learn computing in school. However, implementing computing education in schools faces several practical problems, such as a lack of computing teachers and time in an already overloaded curriculum. A solution may be a multidisciplinary approach, integrating computing…
Descriptors: Computer Science Education, Computation, Thinking Skills, Interdisciplinary Approach
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Borge, Marcela; Toprani, Dhvani; Yan, Shulong; Xia, Yu – Computer Science Education, 2020
Background and Context: in this paper, we argue that integrating Human-Computer Interaction (HCI) into K-12 computing education can present learners with opportunities to develop human-centered design skills as well as higher-order thinking skills. Objective: to address the issues related to the development of HCI forms of expertise, we introduce…
Descriptors: Elementary Secondary Education, Design, Skill Development, Thinking Skills
Basawapatna, Ashok Ram – ProQuest LLC, 2012
Computational thinking aims to outline fundamental skills from computer science that everyone should learn. As currently defined, with help from the National Science Foundation (NSF), these skills include problem formulation, logically organizing data, automating solutions through algorithmic thinking, and representing data through abstraction.…
Descriptors: Computer Science Education, Computation, Thinking Skills, Logical Thinking