• 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.

• Journal of The Korean Association of Information Education
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• v.23 no.3
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• pp.207-217
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• 2019

In order to improve computational thinking, elementary schools have been using 'Scratch' to provide basic programming education. However, the study on evaluation of computational thinking is at an early stage. Therefore, this study evaluated the conceptual level of computational thinking using the scratch code analyzing. For this, Dr. Scratch was used to analyze 179 scratch projects. The results showed that the conceptual level of computational thinking of most elementary students was at the developing level, and that it varied according to gender and production style, showed the lowest level of logic and abstraction, and improved computational thinking during programming. This study is meaningful in that it provides implications for the improvement of teaching methods and self-directed evaluation in learning.

• The Journal of Korean Association of Computer Education
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• v.22 no.5
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• pp.67-77
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• 2019

The purpose of this study is to develop and validate a general-purpose evaluation tool and to analyze their applicability in problem solving programming education for college students of teacher training college. For this purpose, we have redefined the area of computational thinking and detail elements from the viewpoint of problem solving programming, and developed general-purpose computational thinking scale to evaluate them. The reliability and validity were analyzed by applying the evaluation tool developed for the actual college students of teacher training college. Through this study, it was confirmed that the a general-purpose evaluation tool developed in this study can be used as a tool to computational thinking assessment and can be generalized.

• Journal of The Korean Association of Information Education
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• v.20 no.6
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• pp.585-596
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• 2016

Software Education will be implemented at elementary, middle and high schools starting in 2018. The goal of software education is to help students develop Computational thinking skills. Computational thinking is largely composed of abstraction and automation. However, the concepts related to abstraction are defined differently for each country, giving confusion to students and teachers. Therefore, in this paper several definitions of abstraction are compared and defined reasonably. And we proposed an abstraction teaching method and evaluation criteria in elementary school based on a reasonable definition. The definition of abstraction presented in this paper is expected to be able to present a solution to the problems encountered in the course of software education in the future.

• Journal of the Korea Society of Computer and Information
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• v.23 no.9
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• pp.133-139
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• 2018

This paper draws attention on the importance of computational thinking, which is being utilized more and more in recent educational environment. Also, it suggests a teaching and learning model for improving computational thinking within early childhood education. With the advent of the Fourth Industrial Revolution, this era demands people to possess integrative thinking and problem-solving skills. As a result, education on computational thinking is done beginning from the early childhood, enabling children to take the leading part in the future digital generation. However, despite the appearance of many education services and products regarding computational thinking, the field lacks evaluation and academic verification. Thus, this study will complement the methodological aspect of computational thinking.

• Journal of Korea Multimedia Society
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• v.22 no.4
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• pp.472-479
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• 2019

Today, computational thinking takes an important role in problem solving in software education. As a result, software education as liberal arts for non-CS major students is rapidly expanding. It is necessary to study the effects of computational thinking on software problem solving ability compared to traditional programming language education. In this paper, we propose an evaluation model for analyzing the effects of computational thinking on the overall software development process, and analyze how the problem solving process is different for learners who take computing thinking classes and programming language courses as liberal arts courses. As a result, students who learned computational thinking showed higher ability in problem analysis and design process.

• The Journal of Korean Association of Computer Education
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• v.21 no.3
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• pp.21-33
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• 2018

The 2015 revised national curriculum emphasizes software education according to national and social needs for the development of computational thinking. Therefore, it is necessary to analyze meaningful factors influencing the development of computational thinking ability, as well as researches on various teaching, learning and evaluation methods. The purpose of this study is to analyze secondary school students' computational thinking ability in the Bebras challenge 2017 tasks and the participants' results of the challenge, and to figure out the differences according to factors such as evaluation area, gender, and region. The results of this study are meaningful to understand the factors for the development of computational thinking and to suggest directions for the improvement of Bebras challenge as a evaluation tool for computational thinking ability.

• Journal of The Korean Association of Information Education
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• v.24 no.1
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• pp.59-69
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• 2020

The purpose of this study is to design the framework of evaluation on learner's cognitive skill for artificial intelligence(AI) education through computational thinking. To design the rubric and framework for evaluating the change of leaner's intrinsic thinking, the evaluation process was consisted of a sequential stage with a) agency that cognitive learning assistance for data collection, b) abstraction that recognizes the pattern of data and performs the categorization process by decomposing the characteristics of collected data, and c) modeling that constructing algorithms based on refined data through abstraction. The evaluating framework was designed for not only the cognitive domain of learners' perceptions, learning, behaviors, and outcomes but also the areas of knowledge, competencies, and attitudes about the problem-solving process and results of learners to evaluate the changes of inherent cognitive learning about AI education. The results of the research are meaningful in that the evaluating framework for AI education was developed for the development of individualized evaluation tools according to the context of teaching and learning, and it could be used as a standard in various areas of AI education in the future.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.95-104
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• 2021

Software education is drawing attention as an education for fostering future talents who will lead the 4th industrial revolution. The purpose of software education for everyone from kinder to adults is not simply to develop programming skills, but to develop "Computational Thinking," a problem-solving ability that effectively solves real-world problems based on computing. Therefore, how to cultivate and evaluate computational thinking is a very important issue. This paper proposed a method of applying a process-based performance evaluation method to evaluate computational thinking ability in the process of solving learners' problems. The developed contents were revised and supplemented through two Delphi surveys by a group of experts consisting of five university professors and five incumbent information teachers majoring in computer science and computer education to verify the effectiveness of the final model. I hope This paper can contribute to the study of evaluating computer thinking ability from the perspective of problem solving.

• 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.