• Journal of Digital Convergence
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• v.17 no.10
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• pp.23-35
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• 2019

In order to cultivate talented people who have problem solving ability due to computational thinking according to the trend of the fourth industrial revolution, each university is actively promoting software education. This study suggests that understanding-oriented SW curriculum is needed for non-majors students to improve computational thinking. In order to achieve the purpose of the study, this study designed the basic education program based on the understanding of the SW with the backward design model. The SW Basic Education Program was applied to 15 weeks of instruction and conducted three surveys. The positive effects of the understanding-oriented SW basic education on the computational thinking efficacy and the computer perception were verified. In addition, it was found that the understanding-oriented computational thinking and programming education are effective when they are linked to one process. It is expected that understanding-based SW based education, which uses the backward design model, can be applied as one of the efficient ways to improve computational thinking in the education field.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.2
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• pp.259-267
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• 2020

The purpose of this study is to analyze the effects of computational thinking class using ARCS model to increase students' learning motivation. Then, this study designed the detailed instruction strategy according to each motivation factor(Attention, Relevance, Confidence, Satisfaction) of ARCS through the previous study on computational thinking education and ARCS model. The results of the ARCS test were compared between the experimental group to which the ARCS model was applied and the control group to which the general class was conducted. As a result, students in the experimental group showed significantly higher motivation for learning about computational thinking. In particular, the learning motivation of computer-related majors was significantly higher than that of the control group. In addition, majors were found to have high relevance(R) and non-majors had high satisfaction(S). Therefore, based on these findings, this study suggests an improvement for effective computational thinking class in liberal arts education.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.4
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• pp.1-11
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• 2017

Our society has changed from an industrial society to a knowledge - based society, and the need for new knowledge creation activities through the convergence of various knowledge is emphasized. In accordance with these changes, universities aiming at nurturing human resources for society have sought new approaches and changes. The discussion of various curriculum for the future talent training in the university is aimed at the goal of developing problem solving ability irrespective of the subject of education or major. In this study, we tried to show that computational thinking ability can be improved by strengthening creative team activities by combining design thinking method in computer curriculum of general education course of university. To do this, we conducted a design thinking team project for students of computer general education course at G university in Gyeongnam province and conducted a survey. The results of the questionnaire were verified by statistical methods. The variables of this study satisfied both the validity and the reliability. Multiple regression analysis showed that knowledge sharing, team activity satisfaction, and design thinking project satisfaction factors all affect computing thinking ability.

• Journal of Convergence for Information Technology
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• v.10 no.8
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• pp.173-178
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• 2020

In the near future, as artificial intelligence and computing network technology develop, collaboration with artificial intelligence (AI) will become important. In an AI society, the ability to communicate and collaborate among people is an important element of talent. To do this, it is necessary to understand how artificial intelligence based on computer science works. An algorithmic education focused on problem solving and learning is efficient for computer science education. In this study, the results of an assessment of computational thinking at the beginning of the semester, a satisfaction survey at the end of the semester, and academic performance were compared and analyzed for 28 students who received algorithmic education focused on problem-solving learning. As a result of diagnosing students' computational thinking and problem-solving learning, teaching methods, lecture satisfaction, and other environmental factors, a correlation was found, and regression analysis confirmed that problem-solving learning had an effect on improving lecture satisfaction and computational thinking ability. For algorithmic education, if you pursue a problem-solving learning technique and a way to improve students' satisfaction, it will help students improve their problem-solving skills.

• The Journal of Korean Association of Computer Education
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• v.19 no.1
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• pp.27-39
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• 2016

It is necessary for us to be equipped with problem-solving ability, logical thinking ability, and convergence thinking ability in the digital information age. To have these abilities, modern people in the $21^{st}$ century should be educated to develop the computational thinking ability. However, it is difficult to cultivate the computational thinking ability in current computer education curriculum. Therefore, this paper aims to propose a programming-based computer educational program to make students better understand the principles of computer science and enhance student's computational thinking ability escaping from current fragmentary and limited computer education. In order to verify the effectiveness of the educational program, students in total 42 middle school (22 students in 1st and 2nd grades and 20 in 3rd grade) were applied to the educational program for twenty-four hours on 12 weeks and then we obtained a positive result that might bring improvement on the logical thinking ability and creative problem-solving skills. As a result, this study presents the possibility of its field applications of computational thinking-based programming learning and analyzed the effectiveness. therefore, it has a notable point of presenting the development direction of a variety of education programs for enhancing the computational thinking in the future.

• 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.

• Journal of Creative Information Culture
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• v.5 no.3
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• pp.275-283
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• 2019

The fourth industrial revolution is emerging as the talk of the times. The industrial structure is changing greatly from the past, as well as the social scene, changing our daily lives. Especially, the importance of the software sector is growing. For students who have to live in this future society, computational thinking is a key capability. In order to achieve this goal, this study was carried out in the following steps. First, we organized a SW education convergence program based on life-oriented aspects. Second, the configured program was applied to the site to verify the effectiveness of computational thinking. The results of this study show that the experimental group has 32 points better than the pre-test, and the comparative group has about 2 points better. The statistical significance probability was a significant difference of .028. The results of this study may be used as a reference for the training of SW convergence education and future talent in the future.

• Journal of The Korean Association of Information Education
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• v.23 no.5
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• pp.469-480
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• 2019

One of the goals of the new 2015 revised curriculum is to cultivate the creativity of students who will live in the era of the Fourth Industrial Revolution to create new things through diverse ideas and challenges based on basic learning skills. Accordingly, in order to solve the given problems rationally, the convergence problem solving ability that can process and utilize various areas of knowledge and information is becoming important. Therefore, in this study, we designed the integrative education using a 3D printer based on Tinkercad modeling and applied it to the class to investigate the effect on the improvement of computing thinking ability of elementary school students. To verify the contents of the study, two classes of 25 sixth-grade elementary school students were divided into an experimental group and a controlled group. For the experimental group, 12 classes of convergence education programs using a 3D printer were applied for about three months, and the same amount of general curriculum was conducted for the control group. After that, the t-tests were carried out using the pre-post test to measure the effectiveness of the computational thinking ability. After the application of the program, the experimental group showed statistically significant improvement in computational thinking ability, but the controlled group showed no statistically significant difference. The results show that convergence education using the Tinkercad modeling-based 3D printer has a positive effect on the improvement of computing thinking ability of elementary school students.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.131-139
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• 2021

In the newly revised curriculum, it is aimed to raise student who has creativity and convergence ability with computational thinking. Based on the analysis of revised curriculum including software education in elementary school, this study proposed educational program that can be applied in actual school field, considering various factors. This educational program using Bitbrick was conducted by 50 students in fifth grade that consist of 23 students in Seoul and 27 students in Gyeonggido during five weeks in 17 periods. The purpose of this study is to verify the effect of application of software education program in terms of computational thinking ability and problem solving ability. The effect was verified after comparing the result of pre-test and post-test through T-test. So, this study obtained improvement of computational thinking and problem solving ability.

• The Journal of Korean Association of Computer Education
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• v.18 no.1
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• pp.45-54
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• 2015

A whole society has become software-driven and each independent fields has become convergence based on computing as the new digital economy era has come. This change affect computational literacy using computational thinking is emphasized the importance as the core competence for the future living. It means that supply of manpower with understanding software principle will decide the fate of the country. For this reason, each country are reinforcing computer science education or computing education. In this paper, we researched and analysed on new global trends of computer education in school especially focused on national curriculum and policy.