• Journal of Industrial Convergence
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• v.18 no.1
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• pp.53-58
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• 2020

The 2015 revised curriculum aims to cultivate creative convergence talent. In this regard, SW education needs to study various convergence education methods to enhance computational thinking. The purpose of this study is to analyze the effects of SW convergence education centered on reading education and robot utilization education to improve computing thinking ability. For this purpose, SW education teaching and learning was designed by combining SW education using card coding-based robots with reading education based on interactive works and reading on the whole work. As a result, the convergence education between reading and SW improved all three areas of the concept, practice, and perspective of computational thinking ability and increased the learner's satisfaction.

• 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.

• Journal of Creative Information Culture
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• v.6 no.3
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• pp.179-187
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• 2020

This study was conducted to verify the effect of convergence education applying computing thinking ability of elementary school students on problem solving ability and interest. The subjects of this study were 23 students in 3rd grade elementary school and 15 students in 6th grade, totaling 38 subjects. As a research method, problem-solving ability and interest were measured through questionnaires, and data were analyzed through T-test to see the pre-post differences of the experimental group. As a result of the study, first, it was found that convergence education applying computing thinking ability had a positive effect on problem solving ability. Second, it was found that convergence education applying computational thinking has a partial effect on the degree of interest by subject. Looking at the details, interest in software education and physical activity was high, but interest in eating habits was relatively low. From the above results, it can be seen that convergence education based on computational thinking contributes to drawing students' problem solving ability, and interest.

• Journal of Convergence for Information Technology
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• v.10 no.12
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• pp.100-109
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• 2020

At the beginning of the discussion of early childhood software education, the study was conducted to apply an early childhood software education program based on computational thinking and analyze the effects of early childhood software education programs. In this study, a balanced distribution of software education, content elements and computing thinking elements was applied to achieve the ultimate goal of software education, which is to improve computing thinking. As early as possible, it's a good idea to start teaching to remind themselves how to think through experiences and play activities and to discover problems and find solutions by themselves. In the analysis results, early childhood software education program we applied affected positive impacts on software education effect, computational thinking of early childhood. Based on these results, a program was proposed for systematic early childhood software education that effective develope of computational thinking.

• Journal of The Korean Association of Information Education
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• v.24 no.2
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• pp.131-138
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• 2020

The aim of software education is to increase students' Computational Thinking(CT) skills that they can compose problems and provide solutions which can be carried out effectively by information-processing systems. Furthermore, if problem solving situations can provide students with meaningful problem solving opportunities in authentic social contexts, then software education would be more valuable. This study pursued educational robot-based SW convergence education where 4th grade primary students have access to tangible outputs and can engage in authentic problem solving situations working with peers by using robots and programming. In addition, this study investigated the effectiveness of the classes in terms of computational thinking skills and social capabilities(collaborative skills and communication skills). The current study provides educational robot-based SW convergence education cases of a primary school and discusses the effectiveness of the classes in terms of students' computational thinking skills and social capabilities.

• 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 Convergence for Information Technology
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• v.7 no.1
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• pp.61-66
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• 2017

As the fourth industrial revolution becomes more popular and advanced services such as artificial intelligence and Internet of Things technology are widely commercialized, awareness of the importance of software is spreading. Recently, software education has been taught not only in elementary school and college but also in college. Also, there is a growing interest in computational thinking needed to solve problems through computing methodology and model. The purpose of this study is to design an app inventor course for non-majors software education based on computational thinking. As a result of the study, six detailed competencies of computational thinking were derived, and six detailed competencies were mapped to the app inventor learning elements. In addition, based on the computational thinking modeling, I designed an app inventor class for students who participated in IT curriculum of university liberal arts curriculum.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.151-158
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• 2021

The purpose of this paper is to examine the concept of computational thinking in an easy-to-understand way for non-computer majors. First, It is necessary to expand from the problem-solving perspective to the perspective of problem discovery and creation ability, and establish it as a thinking ability that can cultivate human-like thinking, that is, creative thinking. Second, the concept of computational thinking can be viewed not only in the cognitive aspect but also in the emotional motive and attitude aspect. Third, systematic design of teaching methods is needed based on the expansion of the concept to computational thinking that helps learners to improve their reflective ability. It is expected that the results of this study will serve as basic research for various attempts in terms of the purpose and teaching method of computational thinking education in the future.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.33-38
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• 2020

Modern society needs to think in new directions and solve problems by grafting problems from diverse fields with computers. Abstraction and automation of various problems using computing technology with your own ideas is called computational thinking. In this paper, we analyze how to diagnose and improve knowledge information based on computational thinking through the process of presenting a variety of problems in programming education situations and finding several problem-solving methods to solve them. To pretest the learners, they were diagnosed using a measurement sheet and a LightBot. By determining the correlation between the evaluation results and LightBot results, the learners' current knowledge statuses were checked, and the correlation between the evaluation results and the LightBot results, based on what was taught according to the problem-solving learning technique, was analyzed according to the proposed technique. The analysis of the group average score of the learners showed that the learning effect was significant. If the method of deriving and improving knowledge based on computational thinking ability for solving the problem proposed in this paper is applied to software education, it will induce student interest, thereby increasing the learning effect.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.1-10
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• 2016

Society is operating with software and a new digital era through the Internet of Things started. A variety of fields are being in conjunction with each other based on computing. As problems in real life become more complicated and communication based on various knowledge and problem solving skills are emphasized, these changes are reflected in the curriculum. These changes started from overseas in advance then Korea includes SW education in elementary and secondary education through curriculum revision of 2015. On the other hand, SW education for university students just started after the curriculum revision of elementary and secondary education. The new SW education highlights and develops Computational Thinking beyond programming and it will be a key for the future. Therefore, this study analyzed trends of Computational Thinking and examples of CT courses in Universities. Suggestions and ideas for instructional model to develop Computational Thinking were discussed.