• KIPS Transactions on Software and Data Engineering
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• v.10 no.11
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• pp.529-534
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• 2021

Computing thinking is regarded as one of the important skills required in the 21st century, and many countries have introduced and implemented computing thinking training courses. Among computational thinking education methods, educational game-based methods increase student participation and motivation, and increase access to computational thinking. Autothinking is an educational game developed for the purpose of providing computational thinking education to learners. It is an adaptive system that dynamically provides feedback to learners and automatically adjusts the difficulty according to the learner's computational thinking ability. However, because the game was designed based on rules, it cannot intelligently consider the computational thinking of learners or give feedback. In this study, game data collected through Autothikning is introduced, and game score prediction that reflects computational thinking is performed in order to increase the adaptability of the game by using it. To solve this problem, a comparative study was conducted on linear regression, decision tree, random forest, and support vector machine algorithms, which are most commonly used in regression problems. As a result of the study, the linear regression method showed the best performance in predicting game scores.

• The Journal of Korean Association of Computer Education
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• v.22 no.3
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• pp.1-13
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• 2019

This purpose of this study is to develop and apply the physical computing lessons based on the software guidelines from the Ministry of Education (2015). In this study, I research how computational thinking occurs in class by applying the physical computing lessons to elementary students based on computational practices. The physical computing lessons and analytic methods for computational thinking in this study can be used as a sample and case-study to develop the lessons in the educational field.

• Journal of the Korean earth science society
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• v.42 no.3
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• pp.344-364
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• 2021

The study explored how two elementary school teachers perceived computational thinking, reflected them into curriculum revision, and taught them in the classroom during longitudinal professional developed program (PDP) for nine months. Computational thinking is a new direction in educational policy-making including science education; therefore we planned to investigate participating teachers' perception of computational thinking to provide their fundamental understandings. Nine meetings, lasting about two hours each, were held with the participating teachers and they developed 11 lesson plans for one unit each, as they formed new understandings about computational thinking. Data were collected through PDP program while two teachers started perceiving computational thinking, revising their curriculum, and implementing it into their class for nine months. The results were as follows; first, elementary school teachers' perception of computational thinking was that the definition of scientific literacy as the purpose of science education was extended, i.e., it refers to scientific literacy to prepare students to be creative problem solvers. Second, STEAM (science, technology, engineering, arts, and mathematics) lessons were divided into two stages; concept formation stage where scientific thinking is emphasized, and concept application, where computational thinking is emphasized. Thirdly, computational thinking is a cognitive thinking process, and ICT (informational and communications technology) is a functional tool. Fourth, computational thinking components appear repeatedly and may not be sequential. Finally, STEAM education can be improved by utilizing computational thinking. Based on this study, we imply that STEAM education can be activated by computational thinking when teachers are equipped with competencies of understanding and implementing computational thinking within the systematic PDPs, which is very essential for newly policies.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.23-35
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• 2019

In order to cultivate talented people who have problem solving ability due to computational thinking according to the trend of the fourth industrial revolution, each university is actively promoting software education. This study suggests that understanding-oriented SW curriculum is needed for non-majors students to improve computational thinking. In order to achieve the purpose of the study, this study designed the basic education program based on the understanding of the SW with the backward design model. The SW Basic Education Program was applied to 15 weeks of instruction and conducted three surveys. The positive effects of the understanding-oriented SW basic education on the computational thinking efficacy and the computer perception were verified. In addition, it was found that the understanding-oriented computational thinking and programming education are effective when they are linked to one process. It is expected that understanding-based SW based education, which uses the backward design model, can be applied as one of the efficient ways to improve computational thinking in the education field.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.377-385
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• 2021

This study attempted to develop and apply a physical computing SW education program applying design thinking. The produced SW education program was applied to 22 students in the 5th and 6th grades of J and B elementary schools located in Jeju-si. Computational thinking ability and creativity pre-test was conducted, and Physical computing software training applied design thinking was conducted over a total of 5 sessions for 20 hours, followed by a post-test on creativity and computational thinking ability. As a result of the verification, it was found that physical computing SW education program applying design thinking was effective in improving the creativity and computing thinking ability of elementary school students.

• The Journal of Korean Association of Computer Education
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• v.19 no.2
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• pp.11-20
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• 2016

We enter the age of "a software revolution. The core competence for people living in these times as based on software competence to tackle the problem in computational thinking. Solve the problem of the basis of computational thinking to cultivate these competences to adopt a programming. As a result, this text to study is raising the computational thinking competencies for software training in recognition of the need to learn. A couple of times to develop content for the purposes of computational thinking competencies, Two based on the opinions of experts across extract the contents of a computational thinking. Further, these studies based on accident, we look forward to develop in the process of computational thinking competences.

• Journal of The Korean Association of Information Education
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• v.21 no.3
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• pp.343-350
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• 2017

This current study employs multi-year design-based research to design and implement a course in teacher education in Korea. Specifically this paper reports our first attempt to work with 3 primary in-service teachers majoring in computer education. We have incorporated design thinking (DT) into the course design and investigated how primary teachers appreciate the role of DT and recognize the connection between teaching computational thinking and DT. This qualitative study reports the course design, its progression, reflections, and learning outcomes.

• The Journal of Korean Association of Computer Education
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• v.20 no.6
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• pp.27-36
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• 2017

Today, a computational thinking course is being introduced in elementary, secondary and higher education curriculums. It is important to encourage a creative talent built on convergence of computational thinking and various major fields. However, proper analysis and evaluation of computational thinking assessment tools in higher education are currently not sufficient. In this study, we developed a rubric to evaluate computational thinking skills in university class from two perspectives: conceptual learning and practical programming training. Moreover, learning achievement and relevance between theory and practice were assessed. The proposed rubric is based on Computational Thinking Practices for assessing the higher education curriculum, and it is defined as a two-level structure which consists of four categories and eight items. The proposed rubric has been applied to a liberal art class in university, and the results were discussed to make future improvements.

• Journal of Industrial Convergence
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• v.20 no.2
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• pp.29-36
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• 2022

Computational thinking in the AI and Big Data era for digital society means a series of problem-solving methods that involve expressing problems and their solutions in ways that computers can execute. Computational thinking is an approach to solving problems, designing systems, and understanding human behavior by deriving basic concepts in computer science, and solving difficult problems and elusive puzzles for students. We recently studied 93 pre-service teachers who are currently a freshman at ◯◯ university. The results of the first semester class, the participants created a satisfactory algorithm of the video level. Also, the proposed model was found to contribute greatly to the understanding of the computational thinking of the students participating in the class.

• Journal of Practical Engineering Education
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• v.10 no.1
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• pp.35-39
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• 2018

More and more universities are enforcing SW education for non-major undergraduates. However, they are experiencing difficulties in educating non-major students to understand computational thinking processes. In this paper, we did not use the mathematical operation problem to solve this problem. And we proposed a basic problem-solving process teaching method based on computational thinking using simple physical devices. In the proposed educational method, we teach a LED circuit using an Arduino board as an example. And it explains the problem-solving process with computational thinking. Through this, students learn core computational thinking processes such as abstraction, problem decomposition, pattern recognition and algorithms. By applying the proposed methodology, students can gain the concept and necessity of computational thinking processes without difficulty in understanding and analyzing the given problem.