• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.177-178
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• 2014

컴퓨팅 사고력은 복잡한 문제를 빠르고 정확하게 해결하기 위하여 컴퓨터 과학의 개념과 원리 혹은 컴퓨팅 시스템을 활용하는 절차적인 사고 능력을 의미한다. 컴퓨팅 사고력의 중요성이 강조되고 있는 가운데 컴퓨팅 사고력 향상 방안에 대한 많은 연구들이 이루어지고 있으나 실질적으로 학습자들의 사고력 향상을 평가는 상대적으로 소홀한 편이다. 따라서 본 연구에서는 컴퓨팅 사고력 평가 기준으로 컴퓨팅 사고력 문제 해결 요소 10가지를 제시하고 이를 기준으로 어떻게 평가할 것인가에 대한 방안을 제시하였다.

• The Journal of Korean Association of Computer Education
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• v.18 no.3
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• pp.105-114
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• 2015

A SW competency based on computational thinking is considered as one of the core competencies in the future society. However, the concept of computational thinking is difficult to be introduced to the class because of the lack of appropriate educational program and the shortage of proper understandings of students and teachers. Thus, we have applied computational thinking based STEAM program and analyzed its effectiveness to explore the educational possibilities of computational thinking. The 49 samples were selected, 23 for the experimental group, and 26 for the control group. Pre-post tests for integrated thinking abilities and computational thinking were done to explore the CT-STEAM program's effectiveness. As a result, the components of integrated thinking abilities, science preference and self-directed learning abilities were enhanced after CT-STEAM instruction. In addition, computational thinking assessment score was statistically significant. We expect new STEAM programs using various computing tools to be developed in the future.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.214-223
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• 2019

This study was to review the research trends in domestic computing thinking and to suggest future research direction by analyzing 138 papers related to computing thinking published in domestic academic journals from 2015 to 2018. As a result, domestic research on computing thinking has been steadily increasing since 2015, and quantitative research, development research and experimental research were mainly used. Most research were conducted for elementary school students and university students. Research topics are oriented to the curriculum and program as well as the relationship among the variables related with computational thinking. It is necessary to explore empirical studies such as teaching methods, teaching tools, media utilization, and evaluation methods in order to promote learner's computing thinking. Also, it is needed to explore various variables related to enhance computing thinking and the relationship among the variables.

• Journal of The Korean Association of Information Education
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• v.24 no.2
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• pp.139-146
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• 2020

There is a hot debate about what the core competencies of future generations, who have to live an uncertain future, should cultivate. The future society is expected to become a Software-oriented Society driven by software. Under these circumstances, interest in software education is exploding around the world, and interest in cultivating computational thinking through software education is also increasing. Also, discussions about what computational thinking is and what competence factors are made up are in progress. However, the research on the relationship between the competence factors of computational thinking is relatively insufficient. In order to solve this problem, this study proceeded as follows. First, five competence factors of computational thinking were selected. Second, we defined a path model to analyze the relationships among the competence factors of computational thinking. Third, we chose a test tool to test computational thinking. Fourth, the computational thinking tests were conducted for 801 students in grades 3 through 6 of elementary school. Fifth, implications were derived by analyzing various viewpoints based on the results of the computational thinking test.

• Journal of The Korean Association of Information Education
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• v.20 no.6
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• pp.607-616
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• 2016

Computational thinking is complexity and independent subject matter being capable to learn concept of computer science and providing methodology of problem solving. Also many experts have said that computational thinking will be grow essential tool in the further developing information society. Thus our country has been trying to introduce it in the K12 informatics subject matter education. Therefore we proposed a introducing method of computational thinking being appropriated of a character of it in the informatics curriculum. To do this, we analyzed character and worthy of it, advanced model cases introducing it into the curriculum. And we proposed that introduced case of it into curriculum is divided 3 cases archiving computational thinking itself, being connected aim of general subject matter with it and computer science education. According to this advanced cases, this study selected permeative style of computational thinking with the informatics subject matted curriculum. This method is divided achievement criterion into contents and means. also we proposed that contents area of informatics subject matter achievement criterion is composed Computing System, Information Life, Software and means area can be filled with subset of computational thinking. This introducing method can make informatics subject matter education settle subject matter helping problem solving through computer system beyond character of technology oriented subject matter.

• Proceedings of The KACE
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• 2017.08a
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• pp.11-13
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• 2017

컴퓨팅 사고력은 제 4차 산업혁명 시대에 접어든 우리 사회에서 필요로 하는 미래 역량으로 꼽히고 있으며, 우리나라에서도 2015 개정 문이과 통합형 교육과정을 통해 컴퓨팅 사고력 신장을 위한 SW교육을 강조하고 있다. 3D 모델링 교육은 컴퓨팅 사고력과 직접적인 관련이 있다. 3D 모델링을 위하여 실제의 구체물을 단순화 하거나, 모델링을 위하여 필요 없는 부분을 삭제하거나 추가하는 것이 컴퓨팅 사고력의 추상화에 해당된다. 그리고 모델링 프로그램을 사용하는 것은 일종의 자동화에 해당된다. 본 연구에서는 컴퓨팅 사고력 신장을 위한 3D 모델링 교육에서 권장할만한 3D 모델링 프로그램을 틴커캐드(TinkerCad)로 제시하였으며, 컴퓨팅 사고력 신장을 위한 틴커캐드 활용 초등 3D 모델링 교육 방법을 제시하였다.

• Journal of The Korean Association of Information Education
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• v.24 no.4
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• pp.379-390
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• 2020

Recently, interest in online teaching·learning and evaluation tools has increased in the context of Covid-19. In order to use tools effectively, it is necessary to identify the structural influence and causal relationship between the learner's affective and cognitive variables. In this study, to identify a causal relationship between motivation and thinking while using online judge, research and competing model were established and model fit/path analysis were performed. It was found that there was a linear causal relationship from tool usage, self-efficacy, flow, logical thinking, to computational thinking. It was confirmed that 'self-efficacy → flow', or 'flow' had mediating effect on the path from tool usage to thinking, and tool usage was not exerted to thinking through 'flow → self-efficacy'. The causality of 'logical thinking → computational thinking' was identified on the path where tool usage affects thinking ability through learning motivation, but the causality of 'computational thinking → logical thinking' was not identified.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.779-790
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• 2021

This study analyzed the effect of AI maker coding education on improving students' computational thinking. The subjects of the study were 10 students at H Elementary School in Ansan, and a total of 8 AI maker coding education using the Instructional Model for Maker Education based on SW Coding was applied to students to find out the degree of improvement of computational thinking. Students who participated in the class performed a process of solving real-life problems through coding and making activities, measured the degree of improvement in computing thinking before and after education through a computing thinking test paper, and observed students' thinking processes related to computing thinking components through interviews. As a result, it was confirmed that the average score of all students' computational thinking skills was improved, and the deviation of scores between students decreased. Through the interview, it was found that students actively utilize their thinking skills related to computational thinking skills in the problem-solving process. Through this, it was confirmed that AI maker coding education can have a positive effect on improving students' computing thinking skills.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.167-174
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• 2021

The purpose of this study is to examine the effect of computational thinking course on learning flow and collaborative self-efficacy of university students and to explore the effectiveness of computational thinking course as liberal arts education. For this study, 177 freshmen at a university in Chungnam Province were surveyed learning flow and collaborative self-efficiency. The collected data were analyzed with Stata IC 14 for ��2 test and t-test. The results of this study are as follows. First, the learning flow of students who took computational thinking course were significantly higher(t=3.837 p<.001) compared to those who did not. Second, the collective self-efficiency of students who took computational thinking course were significantly higher(t=2.277 p<.01) compared to those who did not. Therefore the results show that computational course has positive effects on learning flow and collaborative self-efficiency of university students. Based on these findings, discussions and implications were presented on the importance and effectiveness of computational thinking course.

• The Journal of Korean Association of Computer Education
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• v.22 no.6
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• pp.19-34
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• 2019

With the advent of the 4th Industrial Revolution, the importance of solving problems through computing has been emphasized, and software education to improve computational thinking as a core competency has been designated as an essential subject. In order for education for computational thinking to be effective, appropriate tools for evaluating computational thinking must be supported. While studies on computational thinking have been conducted in the meantime, there have been no systematic studies on such evaluation-related studies. This study analyzed the related studies on the computational thinking assessment conducted in Korea and analyzed the previous research of the evaluation tools, evaluation criteria, and evaluation methods. Based on this, the implications for the study of computational thinking evaluation method were suggested.