• Journal of Internet Computing and Services
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• v.15 no.1
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• pp.143-156
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• 2014

The smart education has the goal of enhancing the capability of learners in the 21st century and especially address the improvement of the problem solving capability. This smart education based on the growth of smart devices and the effect of dramatical spread requires the ability of problem solving using the smart technology in accordance with time change. As the problem solving learning is a model used mainly for improving the capability of problem solving, this study develops the problem solving learning model focusing on the teaching-learning activity using the smart devices and also applies this model to the school field. As a result, the favorable response that using the smart devices is effective to the problem solving can be obtained. This study can contribute to achieve the goal of the smart education, and later can be effective to the successful smart education in the school field.

• Journal of The Korean Association of Information Education
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• v.22 no.5
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• pp.535-543
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• 2018

The purpose of this research is to analyze the current status of elementary pre-service teachers' concern on SW education using the Concern-Based Adoption Model, and to investigate issues to be considered in pre-service teacher education. The participants were 137 senior students enrolled in a university of education. A survey was conducted using the Stages of Concerns Questionnaire(SoCQ). Elementary pre-service teachers' concern on SW education was turned out to be the highest at the awareness stage, and the lowest at the consequence stage, and thus showed the 'nonuser' pattern. It also showed a 'positive nonuser' pattern by indicating a little more concern at the collaboration and refocusing stages than the consequence stage concerning the impact of SW education. In addition, no significant difference was found according to pre-service teachers' gender. In comparison with that, significant differences were found according to their programming level at the awareness, personal, consequence and collaboration stages. Based on the results of the research, suggestions were made for the improvement of the pre-service teachers' SW education program concerning the presentation of related information and the enhancement of programming capabilities.

• Proceedings of The KACE
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• 2017.08a
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• pp.175-178
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• 2017

2015 개정 교육과정에서, 정보교과는 컴퓨팅 사고력을 핵심 역량으로 삼고 있으며, 컴퓨팅 사고력을 함양하기 위해 문제해결과 프로그래밍, 컴퓨팅 시스템영역에 프로그래밍과 피지컬 컴퓨팅을 편성하였다. 또한 선행연구를 통하여, 피지컬 컴퓨팅은 프로그래밍을 통해 실제적인 문제 해결이 가능하도록 도와준다는 것을 확인할 수 있었다. 이에 피지컬 컴퓨팅의 실제 효과크기에 대한 연구의 필요성이 제기되나 관련연구가 진행되지 않았다. 본 연구에서는 피지컬 컴퓨팅을 활용한 교육연구의 효과크기를 분석하는데 필요한 연구를 수집하고 이를 바탕으로 기술통계를 통해 연구 운영 및 측정영역에 대한 동향을 분석하고자 한다.

• Journal of Internet Computing and Services
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• v.24 no.5
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• pp.121-130
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• 2023

In the school field, AI convergence education is recommended, which utilizes AI in education to change the paradigm of society. This study was conducted to define the terms of AI and AI convergence education to minimize the confusion of terms and to analyze the educational needs of teachers from the perspective of conducting AI convergence education. To achieve the purpose, 19 experts' opinions were collected, and a self-administered questionnaire was administered to 125 secondary school teachers enrolled in the AI convergence major at the Graduate School of Education. As a result of the analysis, the experts defined AI convergence education as a methodology for problem solving, not AI-based or utilization education. In the analysis of teachers' educational needs, "AI and big data" was ranked first, followed by "AI convergence education methodology" and "learning practice using AI". The significance of this study is that it defined the terminology by collecting the opinions of experts amidst the confusion of various terms related to AI, and presented the educational direction of AI convergence education for in-service teachers.

• Journal of Science Education
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• v.44 no.1
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• pp.122-132
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• 2020

The purpose of this study is to examine the teacher expertise to be evaluated in the secondary science teacher employment test (TET, hereafter) in order to respond to changes in educational environments including the transition to competency-based curriculum, and ways to improve the first exam in major areas in the current TET. For this purpose, Delphi surveys and in-depth interviews were conducted with 18 professors of science education who have experience in the TET. According to the research results, teacher expertise such as subject teaching, student understanding, intelligence information utilization, community competencies, and so on were suggested. Ways to improve science content exam in the TET include securing fairness and validity by increasing the number of questions, strengthening the connection with the secondary school curriculum, updating assessment areas for certificate subjects periodically, etc. Ways to improve science education exam in the TET include research and development on the types of science education questions, introducing essay test to science education exam, development of a standardized curriculum on science education, etc. Based on the research results, the necessity of revising the curriculum for teacher training colleges, differentiating curriculum between teachers' colleges and natural science colleges, and reforming the teacher training system by introducing graduate school of education were suggested.

• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.183-195
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• 2020

In this study, the objective of this study is to verify the effects between lecturer's capability, education program, education service, and physical educational environment factors, and university students' interest in and attitude toward mathematics. A survey was conducted on 228 male and female students in science and engineering majors attending universities in the Pusan metropolitan area, and empirical analysis was conducted using the SPSS 26.0 program. The research results are as follows. First, among the characteristics of college mathematics maker classes, instructor competency (β=.349, t=6.380, p<.001), educational program (β=.361, t=5.650, p<.001), and physical educational environment (β=.196, t=3.281, p<.01) had a significant positive (+) effect on college students' interest in mathematics. Second, the factors of interest (β=.349, t=6.380, p<.001) in college mathematics maker classes were found to have a significant positive (+) effect on college students' attitudes toward mathematics. Third, among the characteristics of college mathematics maker classes, instructor competency (β=.340, t=6.365, p<.001), educational program (β=.352, t=5.559, p<.001), physical educational environment (β=.226, t=3.537, p<.01) was found to have a significant positive (+) effect on college students' attitudes toward mathematics. Through the results of this study, it was concluded that when the level of education program and teaching ability of the university mathematics maker class are high and the physical educational environment is excellent, it can have a positive effect not only on the university student's attitude towards mathematics but ultimately on the attitude of mathematics.

• Journal of The Korean Association of Information Education
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• v.24 no.1
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• pp.49-57
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• 2020

The society we are living in has being changed to the age of the intelligent information society after passing through the knowledge-based information society in the early 21st century. In this study, we have developed the instructional model for software education based on the machine learning which is a field of artificial intelligence(AI) to enhance the core competencies of learners required in the intelligent information society. This model is focusing on enhancing the core competencies through the process of problem-solving as well as reducing the burden of learning about AI itself. The specific stages of the developed model are consisted of seven levels which are 'Problem Recognition and Analysis', 'Data Collection', 'Data Processing and Feature Extraction', 'ML Model Training and Evaluation', 'ML Programming', 'Application and Problem Solving', and 'Share and Feedback'. As a result of applying the developed model in this study, we were able to observe the positive response about learning from the students and parents. We hope that this research could suggest the future direction of not only the instructional design but also operation of software education program based on machine learning.

• The Journal of Korean Association of Computer Education
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• v.23 no.4
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• pp.1-11
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• 2020

The purpose of this study is to propose the direction of AI education in K-12 education through investigating and analyzing aspects of the purpose, content, and methods of AI education as the curriculum and teacher training factors. We collected and analyzed 9 papers as the primary literature and 11 domestic and foreign policy reports as the secondary literature. The collected literatures were analyzed by applying a descriptive reviews, and the implications were derived by analyzing the curriculum components and TPACK elements for multi-dimensional analysis. As a result of this study, AI education targets were divided into three steps: AI users, utilizer, and developers. In K-12 education, the user and utilizer stages are appropriate, and artificial intelligence literacy must be included for user education. Based on the current computing thinking ability and coding ability for utilizer education, the implication was derived that it is necessary to target the ability to create creative output by applying the functions of artificial intelligence. In addition to the pedagogical knowledge and the ability to use the platform, The teacher training is necessary because teachers need content knowledge such as problem-solving, reasoning, learning, perception, and some applied mathematics, cognitive / psychological / ethical of AI.

• Journal of The Korean Association of Information Education
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• v.18 no.1
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• pp.161-171
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• 2014

The Computer Education in Korea since 2000 mainly were 'how to use computer tools', Computer education from 2005 to emphasize problem-solving and programming, but did not perform well, and In 2010 it was not compulsory computer training. Thus, our country have training elementary and middle school students for computer education without creating a curriculum content of computer. U.S. and UK educate students computer training to foster future generations the essential core competencies to be recognized as a new educational curriculum. In this study, the basic course in computer studies of Korean is proposed as Information Science. Information science subject from middle school to first grade curriculum is consistently able to study was composed. The subarea of information science curriculum computer systems, software production, the fusion activity. The computer system is composed of 18 subdivisions, software production is composed of 11 subdivisions, and fusion activity was composed of 15 subdivisions. The results of the students' school life and social life in the future core competencies necessary to be available to train.

• Journal of The Korean Association of Information Education
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• v.25 no.3
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• pp.491-499
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• 2021

Major countries in the world have established strategies for educating about artificial intelligence(AI) and with large investments are actively implementing these strategies. With this trend, domestic ministries have made efforts to establish national strategies to better educate students about AI. This paper presents the syllabus of AI classrooms which has been developed and presented to pre-service and in-service elementary school teachers for their use. In addition, the AI education tools they particularly preferred and their future plans for utilizing them in the elementary school classroom were investigated. Through this study, it was found that pre-service and in-service elementary school teachers strongly prefer lectures about AI education tools that can be immediately applied in the classroom, rather than learning about the theoretical basis of AI. At issue, however, is that the ability to utilize AI is usually based on a sufficient understanding of the theory. Thus, this paper suggests further study to identify better pedagogical practices to improve students' understanding the theoretical basis of AI.