• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.1-14
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• 2020

This study investigated the effects of SW-efficacy on computational thinking STEAM literacy and the dual mediation effects of interest and student engagement in the relationship between SW-efficacy, computational thinking and STEAM literacy in robot-utilized SW convergence education. For achieving this purpose, robot-utilized SW convergence education targeting 146 middle schools students were carried out, post-survey regarding SW-efficacy, computational thinking, STEAM literacy, interest, and learning engagement were conducted. Collected data were analyzed by SPSS macro process for analysis of the dual mediation effect. Results were as follows: first, SW-efficacy had a significant effect on computational thinking and STEAM literacy. Second, interest did not mediate the relationship between SW efficacy, computational thinking and STEAM literacy, while student engagement mediated it. Third, SW efficacy had a significant effect on computational thinking and STEAM literacy dual-mediating effect of interest and student engagement. These results imply the roles of SW efficacy, interest and student engagement to improve computational thinking and STEAM literacy in robot-utilized SW education and provide implications with regard to robot-utilized SW education and instructional directions.

• Journal of The Korean Association of Information Education
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• v.23 no.5
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• pp.427-440
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• 2019

Software courses required for all students regardless of their major in many universities. SW educational effectiveness model needs to be developed to enable effective communication among students, professors, and SW educators, and to identify the responsibilities of SW educators. SW educational effectiveness model based on literature review is composed of computational thinking, SW literacy, SW awareness, and SW attitude. Computational thinking, focused on analysis and design of problem solving processes, consists of decomposition, pattern recognition, abstraction, and algorithms. SW literacy involves viewing social development based on SW beyond information literacy in the digital age. The SW awareness and attitude were organized by considering the collegiate contexts. The SW educational effectiveness model will be used as the basis for diagnosis tools as further studies.

• East Asian mathematical journal
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• v.39 no.2
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• pp.93-117
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• 2023

The aim of this study is to explore the pre-service math teachers' characteristics of education to develop their AI literacy and SW competency, and to derive some implications. We conducted a 14-hours AI and SW education program for pre-service teachers with theory and practice, and an analysis on class observation data, video frames of classes and interview, Python programming assignments and papers. The results of this case study for 3 pre-service teachers are as follows. First, two students understood artificial neural network and deep learning system accurately, furthermore, all students conducted a couple of explorations related with performance improvement of deep learning system with interest. Second, coding and exploration activities using Python improved students' computational thinking as well as SW competency, which help them give convergence education in the future. Third, they responded positively to the necessity of AI literacy and SW competency development, and to applying coding to math class. Lastly, it's necessary to endeavor to give a coding education to the student's eye level according to his or her prerequisite and to ease the burden of student's studying AI technology.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.315-320
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• 2021

In order to prepare for future social changes, SW·AI education is essential. In this paper, after conducting non-face-to-face SW·AI education for pre-service teachers, the effectiveness of SW education before and after education was measured using the measurement tool on the software educational effectiveness. As a result of the analysis, the overall average and the average of the 'computational thinking' and 'SW literacy' domains increased significantly, and the difference between the averages before and after education was statistically significant in decomposition, pattern recognition, abstraction, and algorithm, which are sub domains of 'computational thinking'. Through SW·AI education, students not only recognize the necessity of SW education and the importance of computational thinking, but also understand the process of decomposing information, recognizing and extracting patterns, and expressing problem-solving processes. It can be seen that non-face-to-face SW·AI education has the effect of improving computational thinking and SW literacy beyond recognizing the importance of SW.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.376-377
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• 2017

이 연구는 초등 교사를 대상으로 한 효율적인 연수 프로그램 구성의 출발점 자료를 확보하고자, 초등 교사 200명을 대상으로 SW 교육 영역(SW 문화, SW 창의, SW활용)의 소양 정도를 파악하고 영역 간의 관계를 분석하였다. 연구의 결과, SW 문화소양의 충족, 특히 SW 윤리 소양의 충족이 SW 창의교육 영역(컴퓨팅 사고력과 SW 제작 소양)에 큰 기여를 하는 것으로 확인되었다. 따라서 SW 교사 연수 효율성 제고를 위해 SW 윤리 영역이 컴퓨팅 사고력 영역 및 SW 제작 영역에 관한 교육 내용과 연계성 있는 배치와 시간 운영이 필요하겠다.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.423-436
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• 2021

In the future, artificial intelligence (AI) technology is expected to become a general-purpose technology (GPT), and it is predicted that AI competency will become an essential competency. Several nations around the world are fostering experts in the field of AI to achieve technological proficiency while working to develop the necessary infrastructure and educational environment. In this study, we investigated the status of software education at the liberal arts level at 31 universities in Seoul, along with precedents from domestic and foreign AI education research. Based on this, we concluded that an AI literacy education model is needed to link software education at the liberal arts level with professional AI education. And we classified 20 AI-related lectures released in the KOCW according to the AI literacy competencies required; based on the results of this classification, we propose a model for AI literacy education in the liberal arts for undergraduate students. The proposed AI literacy education model may be considered as AI·SW convergence to experience AI along with literacy in the humanities, deviating from the existing theoretical and computer-science-based approach. We expect that our proposed AI literacy education model can contribute to the proliferation of AI.

• The Journal of Korean Association of Computer Education
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• v.23 no.4
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• pp.69-78
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• 2020

In the era of the 4^th industrial revolution and convergence, various discussions and studies have been conducted to develop future social talents, and through this, the need for creative convergence talents is increasing. In line with the change to a software-oriented society, countries around the world are trying to strengthen SW education, but high school students' awareness of the necessity of information subject and SW education that is the center of convergence is insufficient. Therefore, opportunities for convergence of the information subject and various fields should be provided. In this study, information education was converged to the science exploration experiment subject to construct an educational program that can develop creative convergence, and a convergence class using physical computing were applied to high school students for 9 hours. As a result of the experiment, the recognition of SW education of the experimental group was improved, and it was confirmed that the learner's convergence literacy of the experimental group was statistically different from that of the control group that conducted the general science experiment class.

• Journal of The Korean Association of Information Education
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• v.24 no.5
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• pp.453-462
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• 2020

With the development of artificial intelligence, a lot of platforms have emerged that enable anyone to easily access and learn about artificial intelligence or create artificial intelligence models. Therefore, in this study, we analyzed various artificial intelligence education platforms and developed and proposed a SW education class plan using a framework-based artificial intelligence education platform for activating artificial intelligence based SW education. The artificial intelligence-based SW education framework aims to cultivate artificial intelligence literacy on the basis of computational thinking. In addition, a learner-centered project class was formed to include elements that could be fused with real life contexts or other subjects. Using this, with the theme of creating an artificial intelligence program to help separate garbage collection, a six-hour project-based class was developed and proposed using practical arts, social studies, and creative experiential activities. This project class was organized using a platform that is not difficult, such as AI Oceans and Entry.

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.4
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• pp.91-98
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• 2018

As the importance of computing technology is emphasized, Korea has revised the educational curriculum to teach SW education compulsory at the elementary and secondary school level. For successful SW education, it is very important not only to require an educational environment and educational materials, but also to obtain the capacity of the teachers who are responsible for SW education. However, due to the lack of research on specifically examining the present state of teachers' SW competencies, there are many deficiencies in establishing a concrete teacher's training and a support plan for SW education. This study is to develop test tools and apply to measure a common sense about a computer, the latest IT technology algorithm design and a programming ability for the purpose of evaluating the SW competency of current teachers. As a result of the study, the understanding of common sense about a computer and the latest IT technology is very high, on the other hand the algorithm design and programming ability were analyzed as low. Therefore, the implications for SW education teacher's training and a process of prospective teachers' training are derived.

• Journal of The Korean Association of Information Education
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• v.26 no.2
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• pp.141-151
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• 2022

Recently, basic literacy education related to digital literacy and data literacy has been emphasized for students who will live in a rapidly developing future digital society. Accordingly, demand for education to improve big data and data literacy is also increasing in general universities and universities of education as basic knowledge. Therefore, this study designed and applied big data analysis courses for pre-service teachers and analyzed the impact on data literacy. As a result of analyzing the interest and understanding of the input program, it was confirmed that it was an appropriate form for the level of pre-service teachers, and there was a significant improvement in competencies in all areas of 'knowledge', 'skills', and 'values and attitudes' of data literacy. It is hoped that the results of this study will contribute to enhancing the data literacy of students and pre-served teachers by helping with systematic data literacy educational research.