• 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 The Korean Association of Information Education
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• v.21 no.3
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• pp.335-342
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• 2017

The artificial intelligence, robot technology, Internet of things, and life sciences that create added value while dramatically transforming human life have been highlighted in the fourth industrial revolution, the next industrial revolution. In order to adapt to the 4th industry, it is necessary to educate students to develop fusion thinking and computing thinking ability. Therefore, in this study, we developed a digital Yut Playing system based on physical computing, reflecting STEAM and decomposition, pattern recognition, abstraction, and algorithm design, which are components of computing thinking. By experiencing the developed system and applying it to education, it raised interest and interest in programming education and improved programming lesson for fusion thinking and computing thinking ability.

• 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.

• The Journal of Korean Association of Computer Education
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• v.19 no.2
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• pp.87-98
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• 2016

Our study is composed of Arduino robot assembly, board connecting and collaborative programming learning, and it is to evaluate their effect on improving secondary mathematics-science gifted students' convergence capability. Research results show that interpersonal skills, information-scientific creativity and integrative thinking disposition are improved. Further, by analyzing the relationship between the sub-elements of each thinking element, persistence and imagination for solving problems, interest of scientific information, openness, sense of adventure, a logical attitude, communication, productive skepticism and so on are extracted as important factors in convergence learning. Thus, as the result of our study, we know that gifted students conducted various thinking activities in their learning process to solve the problem, and it can be seen that convergence competencies are also improved significantly.

• Journal of The Korean Association of Information Education
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• v.20 no.4
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• pp.357-366
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• 2016

The ability of computational thinking is a key competence that person of talent in the future should keep. Computational thinking is a serial process in which a problem is defined in context of computing, stages of abstraction are processed in order to find the efficient solution, the most appropriate process and resources for a solution are selected and combined through algorithms which use various concepts, principles and methods for automatic implementation of abstract concepts. It needs appropriate learning content in stage of elementary school. This study has verified the effect it made on improvement of learner's creative personality by developing and applying the educational content for software education based on the integrative production. The result of study confirmed that learning through the educational content for software education based on the integrative production affects improvement on learner's creativity positively and suggested a method of applying it to computing education in elementary school.

• Proceedings of The KACE
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• 2018.08a
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• pp.129-132
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• 2018

미래사회가 요구하는 창의융합형 인재 육성을 위한 기초소양 함양을 위해 소프트웨어 교육이 의무화되는 등 컴퓨팅 사고력과 지능정보사회에 필요한 핵심역량인 협력적 문제해결력의 향상을 위한 소프트웨어 교육에서의 교수 학습 방법이 강조되고 있다. 이에 따라 본 연구에서는 감성적 사고와 창의적 사고력의 균형을 추구하는 디자인 사고와 실생활 맥락적 문제를 해결하는 메이커 활동을 결합한 디자인 사고 기반 메이커교육을 소프트웨어 교육에 적용하여 초등학생의 협력적 문제해결력에 미치는 영향을 검증하고자 한다. 이를 통하여 디자인 사고기반 메이커 교육의 학습효과를 밝히고, 초등학교 수업에서 다른 교과목과 융합한 소프트웨어 교육의 적용방법에 대한 시사점을 제공하고자 한다.

• The Journal of Korean Association of Computer Education
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• v.19 no.6
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• pp.45-54
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• 2016

The purpose of this study is to investigate the effects of Android application programming education to control Arduino using App Inventor on industrial high school students' creative and integrative thinking ability. We developed an instructional content based on integrative learning and creative problem-solving model and taught a class on it. The result of this study showed that there was a significant improvement in divergent thinking and motivation items among the sub elements of creative problem solving. In addition, students' survey on the integrated thinking has shown that many students think that they could design an IoT system applied to everyday life based on the knowledge they have learned in this class. Therefore, it can be confirmed that physical computing education using App Inventor and Arduino has a positive effect on students' creative and integrative thinking ability.

• 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 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.

• 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.