• School Mathematics
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• v.19 no.3
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• pp.553-570
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• 2017

The purpose of this study was to gain insights into investigating the feasibility on integrating computational thinking(CT) into school mathematics. Definitions and the components of CT were varied among studies. In this study, CT in mathematics was focused on thinking related with mathematical problem solving under ICT supportive environment where computing tools are available to students to solve problems and verify their answers. The focus is not given on the computing environment itself but on CT in mathematics education. For integrating CT into mathematical problem solving, providing computing environment, understanding of tools and supportive curriculum revisions for integration are essential. Coding with language specially developed for mathematics education such as LOGO, and solving realistic mathematical problems using S/W such as Excel in mathematics classrooms, or integrating CT into math under STEAM contexts are suggested for integration CT into math education. Several conditions for the integration were discussed in this paper.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.5
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• pp.511-522
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• 2016

Breaking down the boundaries between recent study has emerged as a key issue of convergence education to create new knowledge. The core of IT Convergence Education is being made through educational SW, SW purpose of education has been focused on improving the CT(: Computational Thinking). The purpose of this paper is to design a CT teaching model for activating IT Convergence Education. In this study, we designed a CT Curriculum focusing on algorithm and program for the purpose of enhancing non-majors learner's CT ability and software adaptability and being utilized in the majors. It is expected to be utilized to design a CT teaching methods and curriculum in University.

• The Journal of Korean Association of Computer Education
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• v.22 no.3
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• pp.37-54
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• 2019

The main purpose of STEM education is to understand methods of inquiry in each discipline to develop convergent problem solving skills. To do this, we must first understand the problem-solving process that is regarded as an essential component of each discipline. The purposes of this study is to understand the relationship between the problem solving in science (S), engineering (E), mathematics (M), and computational thinking (CT) based on the comparative analysis of problem solving processes in each SEM discipline. To do so, first, the problem solving process of each SEM and CT discipline is compared and analyzed, and their commonalities and differences are described. Next, we divided the CT into the instrumental and thinking skill aspects and describe how CT's problem solving process differs from SEM's. Finally we suggest a model to explain the relationship between SEM and CT problem solving process. This study shows how SEM and CT can be converged as a problem solving process.

• The Journal of Korean Association of Computer Education
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• v.17 no.6
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• pp.81-91
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• 2014

STEAM education has been introduced to resolve the existing problems of science education since 2011. However, as ICT develops rapidly, the future of the schools with various educational technologies is demanding for a new type of STEAM education. Therefore, the current research suggests CT-STEAM (Computational Thinking & STEAM) education, the new approach to provide integrated thinking based education with all sorts of computing devices. Firstly, the instruction model was developed as a fundamental step to introduce CT-STEAM in the real education scene. Then, lesson plan was developed as a implementation strategy, and it was tested for validity by computer education experts. It is hoped that the results of this study can enhance the understanding of CT and STEAM Education, also to provide baseline information to develop various teaching methods for integrated CT education.

• Journal of The Korean Association of Information Education
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• v.20 no.6
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• pp.553-562
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• 2016

Although software education pursues developing learners' computational thinking skills, more studies are needed in terms of designing software education lessons to enhance CT skills and to measure the effects of the lessons. This study aims to investigate the effects of a course designed to enhance pre-service teachers' CT skills by using CT-based teaching materials. Through a literature review the study has selected the five core competencies of CT: algorithmic thinking, evaluation, problem decompositions, abstraction, and generalization. The participants of the study are 47 pre-service teachers who took the one-semester course in a national university of education. A survey was developed and conducted and qualitative analyses on the team projects were performed focusing on the core competencies of CT. The results revealed pre-service teachers' perceived degree of experiencing CT and their competencies represented in their projects. The present study provides important implications to future software education programs in terms of designing and implementing of software education.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.77-84
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• 2021

The purpose of this study is to propose AI maker coding education as a way to improve computational thinking(CT), which is an essential competence for problem-solving capability in modern society, and to analyze the effectiveness of this education on improving CT in elementary school students. For the research, 5 students from 4th graders and 5 students from 6th graders were recruited, and AI maker coding education was planned in 8 sessions to form classes from basic block coding and maker education to real-life problem solving. To analyze the effectiveness of AI maker coding education, pre- and post-CT examinations were performed. The test results confirmed that AI maker coding education had a significant effect on "abstraction", "algorithm", and "data processing" in the five CT components, and confirmed that there was no correlation in "problem resolution" and "automation". Overall, the average score of all students increased, and the deviation between students decreased, confirming that AI maker coding education was effective in improving CT.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.90-93
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• 2019

Recently, as SW education has been emphasized in college, interest in Computing Thinking (CT) class at the liberal level has increased. In order to effectively educate students, various methods of teaching and learning are required to reduce the burden on CT education and motivation of students. The purpose of this study is to design teaching and learning using ARCS model to improve learners' learning motivation and learning achievement in CT course as liberal arts education. In this study, the learning elements of CT were selected based on previous research on the characteristics of education in the liberal arts education of the university and analysis of the CT content. In addition, Keller 's ARCS learning motive model was selected to match the instructional tactics according to the motivational factors of Attention, Relevance, Confidence, and Satisfaction. In order to effectively teach these CT contents, detailed strategies based on the ARCS model were designed and presented weekly.

• Journal of The Korean Association of Information Education
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• v.21 no.4
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• pp.371-380
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• 2017

SW education is considered important in the present age where various sciences converge. According to this tendency, SW education was included in the regular education course in Korea, which aims to develop the learner's CT. Therefore, researches on CT and educational tools are being activated. App Inventor is a simple app development tool that has many advantages over traditional tools. In this study, we developed and applied a SW instruction program that uses an App Inventor to develop CT for elementary school students. Moreover, CT was classified into two elements-calculative perception and calculative creativity- and performed tests after applying SW instruction programs. Furthermore, attitude towards computer were classified into three elements-c computer anxiety, computer preference, and computer confidence- and conducted tests. After performing paired t-test pretest-posttest matching samples on test outcomes, it was found that the CT of the learners who applied the program was increased, and the attitude towards computer also showed a positive change.

• The Journal of Korean Association of Computer Education
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• v.18 no.5
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• pp.25-34
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• 2015

The purpose of this research is to suggest the method of code analysis for evaluating learners' projects in computational thinking(CT) education. Recently, block programming tools are applied to K-12 SW education, this study considered the assessment method for evaluating students' levels and learning about CT concepts through analyzing codes of the Scratch projects that students created. As a result from the analysis of 45 projects of novices, it showed the bad coding patterns of novices and verified that it is possible to evaluate students' learning about CT concepts through the analysis of their codes. The higher learner's level, the greater scores of logical thinking, synchronization, flow control, and data representation. This result is able to apply to student assessment of CT concepts in K-12 SW education.

• The Journal of Korean Association of Computer Education
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• v.23 no.3
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• pp.41-47
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• 2020

Computational Thinking(CT) is drawing attention as a core competency required for future talent in the 21st century. Software education for improving CT ability at home and abroad is in full swing. Among them, problem-solving programming education helps to improve CT ability. The CT-TDPS learning model follows the decomposition, abstraction thinking process, which modularizes complex problems, and the Agile development method, which is an iterative and incremental programming method to implement it. In this study, we tried to confirm the improvement of CT ability by applying CT-TDPS learning model to problem solving programming education using Scratch. As a result of the study, it was confirmed that in the problem solving programming education using the CT-TDPS learning model, it improved in all aspects of computing concept, computing performance, and computing perspective, which are sub-factors of CT ability. In addition, it was confirmed that there was a significant difference in the experimental group as a result of the t-test on the Dr.Scratch automatic evaluation result.