• Journal of The Korean Association of Information Education
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• v.22 no.1
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• pp.41-52
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• 2018

In Computational thinking is emphasized as a basic learning ability to grow into a key talent in the digital society. There is much interest and discussion on computing education nationally, and the Korean government has also included education in the curriculum. As a result of these changes, the level of computer literacy that preliminary teachers need to be imporved, and the role of computational thinking as a leader in digital society is being emphasized by teachers. Therefore, it is necessary to have a curriculum that can understand computational thinking through various programming learning from preliminary teacher education curriculum. In this study, we designed and taught programming curriculum for non-majored preliminary teachers. Through the developed questionnarie, we analyzed the affect of programming education on the preliminary teacher's development of computational thinking ability.

• Journal of The Korean Association of Information Education
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• v.23 no.6
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• pp.607-619
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• 2019

As software education was introduced through the 2015 revised curriculum, various research activities have been carried out to improve the computational thinking of learners beyond the existing ICT literacy and software utilization education. With this change, the purpose of this study is to examine the research trends of various research activities related to computational thinking which is emphasized in software education. To this end, we extracted the key words from 190 papers related to computational thinking subject published from January 2014 to September 2019, and conducted frequency analysis, word cloud, connection centrality, and topic modeling analysis on the words. As a result of the topical modeling analysis, we found that the main studies so far have included studies on 'computational thinking education program', 'computational thinking education for pre-service teacher education', 'robot utilization education for computational thinking', 'assessment of computational thinking', and 'computational thinking connected education'. Through this research method, it was possible to grasp the research trend related to computational thinking that has been conducted mainly up to now, and it is possible to know which part of computational thinking education is more important to researchers.

• Journal of the Korea Society of Computer and Information
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• v.19 no.2
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• pp.263-274
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• 2014

The objectives of this research are to develop information education framework and derive detail IT curriculums in University Liberal education, which is essential to effective learning all special knowledge and a base skill in university education. In order to achieve these research objectives, first this study theoretically derives three categories of IT education area based on comprehensive review of the previous research including IT Fluency, Information Literacy and Computational Thinking concepts, and explicates concrete items for each category. And then, with respect to each of these items, we empirically investigate the degree of necessity measured by the gap between the required level of knowledge and skills which student should have for effective studying of major curriculum and the present level of them which they really have. Field survey is employed for the data collection: 350 questionnaires are distributed to the students, and 313 questionnaires are collected in useful condition and are analyzed. The findings of this research shows that three dimensions of IT Liberal Education are empirically derived by factor analysis as following: (1) Foundational Concepts of IT, (2) Utilization Capabilities of IT, (3) Intellectual Capabilities of IT. And the results of this study can provide the theoretical basis for constructing the IT education. Also they can be used as a practical guideline in developing and promoting specific University IT education programs in Liberal Education.

• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.169-175
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• 2017

In this paper, we propose the elementary school teacher's training direction for effective SW education. In an effort to better understand the efficient SW training contents and methods for teachers, 200 of elementary teachers had been selected from different places in South Korea. The results showed that 1)it should be operated by focusing on the training of female teachers, especially, strengthening the contents of SW ethics. 2)It will need to actively operate the teacher training program to foster the necessary computational thinking and programing for elementary school teacher who work in big cities. 3)It need to create a training program for expanding the SW studying groups. 4)In order to improve the effectiveness of training courses in the development of in-service training programs, the SW ethics contents need to be coordinated with the link the computational thinking and programing. These results are expected to provide the efficient methods to design the future SW training programs.

• The Journal of Korean Association of Computer Education
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• v.21 no.5
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• pp.25-35
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• 2018

As one of the key competencies required in the era of the Fourth Industrial Revolution, interest and importance of digital competency is the growing. Digital competency means the ability to search and analyze necessary information using digital technology through collaboration and communication with other people to solve problems given in digital society and to produce the result. In this study, we will consider what factors should be included in the digital competence required in the era of the Fourth Industrial Revolution. To do this, we systematically classify factors that are considered to be important through analysis of relevant research on domestic and foreign digital literacy, and propose a digital competence model suitable for domestic reality based on this classification. In order to design a digital competence model, we first define the operational factors of the digital competence and then define and refine it by experts.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.157-162
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• 2022

In a society full of knowledge and information, digital literacy and artificial intelligence (AI) education that can utilize AI technology is needed to solve numerous everyday problems based on computational thinking. In this study, data-centered AI education was conducted while teaching computer programming to non-computer programming students at universities, and the correlation between major factors related to academic performance was analyzed in addition to student satisfaction surveys. The results indicated that there was a strong correlation between grades and problem-solving ability-based tasks, and learning satisfaction. Multiple regression analysis also showed a significant effect on grades (F=225.859, p<0.001), and student satisfaction was high. The non-computer programming students were also able to understand the importance of data and the concept of AI models, focusing on specific examples of project types, and confirmed that they could use AI smoothly in their fields of interest. If further cases of AI education are explored and students' AI education is activated, it will be possible to suggest its direction that can collaborate with experts through interest in AI technology.

• The Mathematical Education
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• v.63 no.2
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• pp.209-231
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• 2024

The education sector is undergoing significant changes due to the Fourth Industrial Revolution and the advancement of artificial intelligence. Particularly, the importance of education based on artificial intelligence is being emphasized. Accordingly, the purpose of this study is to develop a statistics education program using deep learning prediction in high school mathematics and to examine the impact of such statistically problem-solvingcentered statistics education programs on high school students' statistical literacy and computational thinking. To achieve this goal, a statistics education program using deep learning prediction applicable to high school mathematics was developed. The analysis revealed that students' understanding of context improved through experiencing how data was generated and collected. Additionally, they enhanced their comprehension of data variability while exploring and analyzing various datasets. Moreover, they demonstrated the ability to critically analyze data during the process of validating its reliability. In order to analyze the impact of the statistics education program on high school students' computational thinking, a paired sample t-test was conducted, confirming a statistically significant difference in computational thinking between before and after classes (t=-11.657, p<0.001).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.327-331
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• 2018

The purpose of this study was to design a competence teaching-learning model that could help college students improve their computational thinking among core competences in SW education. A competence teaching-learning model, UDDPAAP (Unplugged-Demonstration-Decomposition-Pattern Recognition-Abstraction-Algorithm-Programming), was designed by analyzing competences of learners with no experience in software coding, by reconstructing DMM, DDD, and DPAA among the five existing SW-based teaching-learning models, and by analyzing unplugged activity and the Bebras challenge computational thinking scale carefully. The unplugged activity partially adapted to instruction for college students and some items chosen from the Bebras challenge computational thinking scale were applied to the existing teaching-learning model. To determine the effects of the study, pretest was conducted in freshmen for computational thinking and self-confidence on the basis of the experience in SW and computer information literacy education, and posttest following instruction applying the UDDPAAP teaching-learning model. The students provided with SW education based on the UDDPAAP teaching-learning model saw their computational thinking competence improved.

• The Journal of Korean Association of Computer Education
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• v.21 no.3
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• pp.11-20
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• 2018

One major change in the 2015 revised national curriculum is that computational thinking ability is becoming an essential competency for students. Computational thinking is divided into abstraction, automation, and creative convergence in the curriculum for secondary schools' Information subject. And, the curriculum contains problem solving and programming area. Among the components of computational thinking, data representation emphasizes the ability to structure data and information for problem solving of learners. Pre-service teachers of Information subject at secondary schools also learn how to structure information through diagramming. There are differences in the ability to structure diagrams among students, but the studies on learning methods that help students develop their structuring abilities have rarely been performed. The purpose of this paper is to analyze the differences of abstract thinking disposition and gender perspective among college students. As a result, female students had more concrete thinking disposition than male students. Also, there were gender differences according to the characteristics of diagrams. Differences in abstract thinking disposition also made a difference in structuring diagrams. It is useful for achieving the education purpose of improving computational thinking ability by finding out the differences in thinking tendency between males and females and finding the education method that can complement them.

• Journal of The Korean Association of Information Education
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• v.22 no.6
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• pp.651-660
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• 2018

To determine the educational effects of collaborative story creation activities using the Entry programming language, we instructed first year students at the national university of education on these activities for three weeks and analyzed the changes in their software (SW) education capacity and story creating ability. The completed analysis showed no significant changes in the students' SW education capacity as related to information literacy, computational thinking, and learner competency; however, the students' ability to create stories increased significantly. Although students struggled to learn story creation using Entry, they gradually found that the activities were useful and their interest in creating stories grew. Therefore, we suggest expanding the number of subject curriculum activities using Entry in order to improve SW education capacity as well as the subject capacity for student teachers.