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Moon, Hyunchang; Cheon, Jongphil; Kwon, Kyungbin – International Journal of Computer Science Education in Schools, 2022
To help novice learners overcome the obstacles of learning computational thinking (CT) through programming, it is vital to identify difficult CT components. This study aimed to determine the computational concepts and practices that learners may have difficulties acquiring and discuss how programming instructions should be designed to facilitate…
Descriptors: Difficulty Level, Computation, Thinking Skills, Programming
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Valerie Critten; Hannah Hagon; Melike Aslan Unlu – International Journal of Computer Science Education in Schools, 2024
In light of current developments, there is an increasing effort to integrate computing-oriented activities into the education of children as young as two years old. Although the computing strand is not officially addressed in the Early Years Foundation Stage Statutory Framework (DfES, 2024), a small number of early years teachers in England…
Descriptors: Foreign Countries, Early Childhood Education, Computation, Problem Solving
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Kristina M. Tank; Anne Ottenbreit-Leftwich; Tamara J. Moore; Sohheon Yang; Zarina Wafula; Jiyoung Kim; Bárbara Fagundes; Lin Chu – International Journal of Computer Science Education in Schools, 2024
Within the field of K-2 computer science (CS) education, unplugged computational thinking (CT) activities have been suggested as beneficial for younger students and shown to impact young students' skills and motivation to learn about CS. This study sought to examine how children demonstrate CT competencies in unplugged sequencing tasks and how…
Descriptors: Computation, Thinking Skills, Computer Science Education, Preschool Children
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Ibrahim Cetin; Tarik Otu – International Journal of Computer Science Education in Schools, 2023
The purpose of the current study was to explore the effect of modality (constructionist mBlock, Scratch, and Python interventions) on six-grade students' computational thinking, programming attitude, and achievement. The pre-test and post-test quasi-experimental design was used to explore the research questions. The study group consisted of 105…
Descriptors: Computation, Thinking Skills, Student Attitudes, Programming
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Yi Jin; Jason R. Harron – International Journal of Computer Science Education in Schools, 2023
Computer science (CS) has become a critical part of K-12 education worldwide. Computational thinking (CT) skills are a key set of competencies in CS education that can solve problems and use computational design to create useful solutions. However, preservice and in-service teachers are not fully prepared to integrate CS and CT into their…
Descriptors: Teacher Attitudes, Computation, Thinking Skills, Computer Science Education
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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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Türker, Pinar Mihci; Pala, Ferhat Kadir – International Journal of Computer Science Education in Schools, 2020
In this study, the effect of algorithm education on pre-service teachers' computational thinking skills and computer programming self-efficacy perceptions were examined. In the study, one group pretest posttest experimental design was employed. The participants consisted of 24 (14 males and 10 females) pre-service teachers, majoring in Computer…
Descriptors: Mathematics, Computation, Computer Science Education, Programming
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Gillott, Lauren; Joyce-Gibbons, Andrew; Hidson, Elizabeth – International Journal of Computer Science Education in Schools, 2020
This study compares computational thinking skills evidenced by two groups of students in two different secondary schools: one group per school was studying a qualification in Computer Science. The aim was to establish which elements of computational thinking were more prevalent in students studying Computer Science to a higher level. This in turn…
Descriptors: Computation, Thinking Skills, Computer Science Education, Exit Examinations
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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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Kwon, Kyungbin; Cheon, Jongpil – International Journal of Computer Science Education in Schools, 2019
Although teachers need to assess computational thinking (CT) for computer science education in K-12, it is not easy for them to evaluate students' programs based on the perspective. The purpose of this study was to investigate students' CT skills reflected in their Scratch programs. The context of the study was a middle school coding club where…
Descriptors: Computer Science Education, Computation, Thinking Skills, Coding
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Lockwood, James; Mooney, Aidan – International Journal of Computer Science Education in Schools, 2018
Computational Thinking has been described as an essential skill which everyone should learn and can therefore include in their skill set. Seymour Papert (Papert, 1980) is credited as concretising Computational Thinking in 1980 but Jeanette Wing (Wing, 2006) popularised the term in 2006 and brought it to the international community's attention.…
Descriptors: Computation, Thinking Skills, Logical Thinking, Secondary Education
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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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Kwon, Kyungbin; Lee, Kyungbin; Chung, Jaehwa – International Journal of Computer Science Education in Schools, 2018
Evaluating the quality of students' programs is necessary for better teaching and learning. Although many innovative learning environments for computer science have been introduced, the scarcity of program evaluation frames and tools is a demanding issue in the teaching practice. This study examined the quality of students' Scratch programs by…
Descriptors: Computer Science Education, Programming, Programming Languages, Program Evaluation
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How, Meng-Leong; Looi, Chee-Kit – International Journal of Computer Science Education in Schools, 2018
Computational Thinking (CT) is pervasive in our daily lives and is useful for problem-solving. Decision-making is a crucial part of problem-solving. In the extant literature, problem-solving strategies in educational settings are often conveniently attributed to intuition; however, it is well documented that computer programmers might even have…
Descriptors: Mathematics Instruction, Equations (Mathematics), Scaffolding (Teaching Technique), Decision Making
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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