• The Journal of Korean Association of Computer Education
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• v.20 no.6
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• pp.61-69
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• 2017

The Goal of SW education is to improve computational thinking. Especially, non computer majors need to apply computational thinking to their problem solving in their fields after computational thinking class. In this paper, we verified what factors affect the improvement of computational thinking through mixed research method after teaching computational thinking to non major students. Also, we analysed the characteristics of initial learning transfer of computational thinking, and establish the reason about he validity and justification for non major in SW education. The result shows learning satisfaction, learning transfer motivation, and self-CT efficacy affect the perception about improvement of computational thinking. Also, we found that there is application of computational thinking was coming up with problem solving process because the initial learning transfer process of computational thinking has characteristics about concepts and practices of it in programming steps. The effectiveness and learning transfer process of computational thinking for non majors will give the validity and justification to teach SW education for all students.

• Journal of the Korean earth science society
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• v.40 no.4
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• pp.340-352
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• 2019

The purpose of science education is scientific literacy, which is extended in its meaning in the $21^{st}$ century. Students must be equipped with the skills necessary to solve problems from the community beyond obtaining the knowledge from curiosity, which is called 'computational thinking'. In this paper, the authors tried to define computational thinking in science education from the view of scientific literacy in the $21^{st}$ century; (1) computational thinking is an explicit skill shown in the two steps of abstracting the problems and automating solutions, (2) computational thinking consists of concrete components and practices which are observable and measurable, (3) computational thinking is a catalyst for STEAM (Science, Technology, Engineering, Arts, and Mathematics) education, and (4) computational thinking is a cognitive process to be learned. More implication about the necessity of including computational thinking and its emphasis in implementing in science teaching and learning for the envisioned scientific literacy is added.

• Journal of the Korea Society of Computer and Information
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• v.21 no.9
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• pp.177-182
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• 2016

In this paper, we propose the computational thinking education framework which provides three steps of computational thinking process and three kind of activities about computational thinking learning in class. The key idea of this framework is to provide the guidelines of designing activity steps of teaching and learning computational thinking in class using three axles of framework such as problem area, process of learning, and steps of computational thinking process. After designing a framework, we show that sample course of programming education program containing contents of Informatics subject in middle school by implementing our framework. Proposed framework and programming education program in middle school will be the good case study and guide to implement computational thinking concerned education programs in elementary, secondary, and universities.

• Journal of The Korean Association of Information Education
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• v.23 no.6
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• pp.639-653
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• 2019

The purpose of this study is to design an instructional framework and cognitive learning environment for AI education based on computational thinking in order to ground the theoretical rationale for AI education. Based on the literature review, the learning model is proposed to select the algorithms and problem-solving models through the abstraction process at the stage of data collection and discovery. Meanwhile, the instructional model of AI education through computational thinking is suggested to enhance the problem-solving ability using the AI by performing the processes of problem-solving and prediction based on the stages of automating and evaluating the selected algorithms. By analyzing the research related to the cognitive learning environment for AI education, the instructional framework was composed mainly of abstraction which is the core thinking process of computational thinking through the transition from the stage of the agency to modeling. The instructional framework of AI education and the process of constructing the cognitive learning environment presented in this study are characterized in that they are based on computational thinking, and those are expected to be the basis of further research for the instructional design of AI education.

• Journal of The Korean Association of Information Education
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• v.16 no.3
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• pp.319-326
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• 2012

In this paper, we studied a design-based learning for Computational Thinking in Computational Literacy. The design-based learning for computational thinking in computational literacy education started from a MIT media laboratory in 2011. We revised the design-based learning and applied it to educational field. We considered educational strategies and derived the implications, after teaching fourth grade gifted students. Moreover we conducted and analyzed a questionnaire survey, observations and interviews. As the result, the design-based learning in computational literacy is effective for creative computational thinking that students create their ideas and make a meaningful artifacts from it. We expect that this study provides the basic data to apply a design-based learning for computational thinking to Computer education.

• The Journal of Korean Association of Computer Education
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• v.14 no.6
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• pp.19-30
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• 2011

This study analyzed characteristics of computer education from the perspective of $21^{st}$ Century Skills and Computational thinking. $21^{st}$ Century Skills are essential skills for success in today's world. They include critical thinking, problem solving, communication and collaboration. Computational thinking is a necessary ability in the age of convergence and a core concept of computer science education. This study first examined characteristics of $21^{st}$ Century Skills and Computational thinking. Then, it analyzed the relationship between these two skills and 'Informatics' curriculum. 'Informatics' is an elective course in K-12. The results of this study emphasized the importance and the necessity of computer education in the K-12 level.

• The Journal of the Korea Contents Association
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• v.13 no.6
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• pp.518-526
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• 2013

The notion of computational thinking is currently gaining much attention from a variety of disciplines. Accordingly, computer education community needs to address this issue for formal education. In the paper, the translation issue on the terminology - 'computational thinking' - is discussed. As a brief introduction to computational thinking the characteristics and necessities as well as its importance are presented. The types of learning computational thinking are presented, which are learning with computing tools on one hand and without them on the other hand. Furthermore, learning objectives of computational thinking as well as the contents are also investigated for the application of computational thinking in elementary education. A survey was conducted for thirty three elementary school teachers on behalf of investigating directions of teaching computational thinking in elementary education. It shows that almost all respondents agree to teaching computational thinking in formal education and it also shows other interesting results as stated in the paper.

• Journal of the Korea Society of Computer and Information
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• v.23 no.9
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• pp.133-139
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• 2018

This paper draws attention on the importance of computational thinking, which is being utilized more and more in recent educational environment. Also, it suggests a teaching and learning model for improving computational thinking within early childhood education. With the advent of the Fourth Industrial Revolution, this era demands people to possess integrative thinking and problem-solving skills. As a result, education on computational thinking is done beginning from the early childhood, enabling children to take the leading part in the future digital generation. However, despite the appearance of many education services and products regarding computational thinking, the field lacks evaluation and academic verification. Thus, this study will complement the methodological aspect of computational thinking.

• Journal of The Korean Association of Information Education
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• v.22 no.2
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• pp.251-262
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• 2018

In this study, we conducted to derive some implications by analyzing the computer education framework proposed by K12CS in the United States in order to organize the software curriculum and conceptualization of computational thinking in Korea. First, we discussed the use of the term Computational Thinking as a Computing Thinking in Korea and compare it with the concept presented in the US curriculum. we derived that Computing Thinking and Computational Thinking are different in the focus and scope of problem solving. Second, considering the fact that Korean software curriculum does not consider the hierarchy according to the school and the grade, we reconstructed the curriculum based on the core practices and concepts which were suggested by the organization of K-12 Computer Science in the United States.

• 한국정보교육학회:학술대회논문집
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• 2011.01a
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• pp.47-51
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• 2011

The aim of Information Education is to improve the problem-solving skills based on Computational Thinking. In the current elementary school curriculum, there is no independent information subject. So, it will get used to browse the sub-element being applied implications for Computational Thinking through an analysis of teaching and leaning elementary mathematic scene. In this paper reveal the relationship sub-element of the Computational Thinking for solving problems through teaching and learning scene in elementary mathematics.