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Showing 1 to 15 of 19 results Save | Export
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Anna van der Meulen; Mijke Hartendorp; Wendy Voorn; Felienne Hermans – Computer Science Education, 2024
Background and Context: In order to fully include learners with visual impairments in early programming education, it is necessary to gain insight into specificities regarding their experience of and approach to abstract computational concepts. Objective: In this study, we use the model of the layers of abstraction to explore how learners with…
Descriptors: Blindness, Visual Impairments, Students with Disabilities, Programming
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Cansu, Sibel Kiliçarslan; Cansu, Fatih Kürsat – International Journal of Computer Science Education in Schools, 2019
Computers and smart devices have become ubiquitous staples of our lives. Computers and computer-controlled devices are used in all industries from medicine to engineering, and textile production. One field where computers have inevitably spread into is education, and one pre-requisite of controlling computers, or increasing the level and…
Descriptors: Computation, Thinking Skills, Problem Solving, Computer Science Education
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Shen, Ji; Chen, Guanhua; Barth-Cohen, Lauren; Jiang, Shiyan; Eltoukhy, Moataz – Journal of Research on Technology in Education, 2022
Computational thinking (CT) has been advocated as an essential problem solving skill students need to develop. Emphasizing on CT applied in both programming and everyday contexts, we developed a humanoid robotics curriculum and a computerized assessment instrument. We implemented the curriculum with six classes of 125 fifth graders. Quantitative…
Descriptors: Elementary School Students, Grade 5, Computation, Thinking Skills
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Çakiroglu, Ünal; Çevik, Isak – Education and Information Technologies, 2022
In order to teach Computational Thinking (CT) skills to young students, Block-Based Programming Environments (BBPEs) are integrated into secondary school computer science (CS) education curricula. As a CT skill, abstraction is one of the prominent skills, which is difficult to enhance and measure. Researchers developed some scales for measuring…
Descriptors: Computation, Thinking Skills, Computer Science Education, Programming
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Orly Barzilai; Sofia Sherman; Moshe Leiba; Hadar Spiegel – Journal of Information Systems Education, 2024
Data Structures and Algorithms (DS) is a basic computer science course that is a prerequisite for taking advanced information systems (IS) curriculum courses. The course aims to teach students how to analyze a problem, design a solution, and implement it using pseudocode to construct knowledge and develop the necessary skills for algorithmic…
Descriptors: Statistics Education, Problem Solving, Information Systems, Algorithms
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Waite, Jane Lisa; Curzon, Paul; Marsh, William; Sentance, Sue; Hadwen-Bennett, Alex – International Journal of Computer Science Education in Schools, 2018
Research indicates that understanding levels of abstraction (LOA) and being able to move between the levels is essential to programming success. For K-5 contexts LOA levels have been named: problem, design, code and running the code. In a qualitative exploratory study, five K-5 teachers were interviewed on their uses of LOA, particularly the…
Descriptors: Elementary School Teachers, Programming, Pedagogical Content Knowledge, Computation
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Mirolo, Claudio; Izu, Cruz; Lonati, Violetta; Scapin, Emanuele – Informatics in Education, 2021
When we "think like a computer scientist," we are able to systematically solve problems in different fields, create software applications that support various needs, and design artefacts that model complex systems. Abstraction is a soft skill embedded in all those endeavours, being a main cornerstone of computational thinking. Our…
Descriptors: Computer Science Education, Soft Skills, Thinking Skills, Abstract Reasoning
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Kukul, Volkan; Karatas, Serçin – Informatics in Education, 2019
The aim of this study is to develop a self-efficacy measuring tool that can predict the computational thinking skill that is seen as one of the 21st century's skills. According to literature review, an item pool was established and expert opinion was consulted for the created item pool. The study group of this study consists of 319 students…
Descriptors: Computation, Thinking Skills, Self Efficacy, Programming
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Chan, Shiau-Wei; Looi, Chee-Kit; Ho, Weng Kin; Kim, Mi Song – Journal of Educational Computing Research, 2023
The importance of computational thinking (CT) as a 21st-century skill for future generations has been a key consideration in the reforms of many national and regional educational systems. Much attention has been paid to integrating CT into the traditional subject classrooms. This paper describes a scoping review of learning tools for integrating…
Descriptors: Thinking Skills, 21st Century Skills, Teaching Methods, Research Reports
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Ezeamuzie, Ndudi O.; Leung, Jessica S. C.; Ting, Fridolin S. T. – Journal of Educational Computing Research, 2022
Although abstraction is widely understood to be one of the primary components of computational thinking, the roots of abstraction may be traced back to different fields. Hence, the meaning of abstraction in the context of computational thinking is often confounded, as researchers interpret abstraction through diverse lenses. To disentangle these…
Descriptors: Computer Science Education, Thinking Skills, Research Reports, Abstract Reasoning
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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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Ezeamuzie, Ndudi O. – Journal of Educational Computing Research, 2023
Most studies suggest that students develop computational thinking (CT) through learning programming. However, when the target of CT is decoupled from programming, emerging evidence challenges the assertion of CT transferability from programming. In this study, CT was operationalized in everyday problem-solving contexts in a learning experiment (n…
Descriptors: Programming, Computer Science Education, Problem Solving, Thinking Skills
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Kusaka, Satoshi – Journal of Education and Learning, 2021
Information and Communication Technology (ICT) education has been actively implemented around the world recently. ICT curriculum in schools is intended to improve students' programming-oriented thinking rather than to train them as programmers. The core of ICT education is 'computational thinking'. Computational thinking is taking an approach to…
Descriptors: Cross Cultural Studies, Thinking Skills, Information Technology, Programming
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Munn, Carol – Journal of Computers in Mathematics and Science Teaching, 2021
This paper explores Computational Thinking (CT) through the experiences and interactions of sixth-grade students as they were engaging in a science lesson utilizing robotics. This robotics unit institutes the shifting from traditional to engaging hands-on activities coupled with CT skills that are exciting, intriguing, and inviting to students.…
Descriptors: Robotics, Grade 6, Units of Study, Science Instruction
Munn, Carol A. – ProQuest LLC, 2020
This research study explored robotics as the catalyst for computational thinking (CT) by sixth-grade students as they are engaged in a science lesson. The interactions, understandings, and applications are discussed, along with the participants' connections and implementations of CT concepts (decomposition, abstraction, pattern recognition, and…
Descriptors: Robotics, Grade 6, Units of Study, Science Instruction
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