• Journal of Internet Computing and Services
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• v.20 no.6
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• pp.167-177
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• 2019

The enhancement of national competitiveness in future society is the discovery and training of excellent SW convergence gifted. In order to cultivate these SW convergence gifted, reinforcing competence of teachers in charge should be made first. Therefore, in this paper, artificial intelligence education contents, one of the core technologies of the 4th Industrial Revolution era, were developed to reinforcing competence of SW convergence gifted teachers. After setting the direction of artificial intelligence education content, we constructed educational content suitable for secondary SW convergence gifted education, and designed and developed it in detail. The composition of artificial intelligence education content consists of machine learning and tensor flow understanding, linear regression machine learning implementation for numerical prediction, and multiple linear regression-based price prediction machine learning implementations. The developed educational contents were verified by experts with qualitative aspects. In the future, we expect that the educational content of artificial intelligence proposed in this paper will be useful for strengthening the ability of SW convergence gifted teachers.

• Journal of The Korean Association of Information Education
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• v.25 no.6
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• pp.891-898
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• 2021

The purpose of this study is to analyze the curriculum of the University-affiliated Science Gifted Education Center from 2018 to 2020 to analyze the proportion of the information area in the total class and the contents of the class, thereby confirming the trend change in the information area. After analyzing the number of hours that information education occupies in the total number of class hours, information education was classified into three categories: computer use education, SW coding education, and SW convergence education, and the curriculum was analyzed in detail. The analysis results are summarized as follows. First, the proportion of information education in total education is gradually increasing compared to 2018. Second, the proportion of computer utilization education in information education is relatively decreasing, and SW coding education and SW convergence education are expanding. Considering that the field of information education has been expanded in various forms, more systematic information education will be provided to students in the future and its usefulness will increase rapidly.

• Journal of Creative Information Culture
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• v.5 no.1
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• pp.45-51
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• 2019

In this paper, virtual reality programming modules were developed for software education advanced courses in elementary and middle schools. And the effectiveness of the developed module was also analyzed. As the result, virtual reality programming module developed in this study was proven to be suitable for software education advanced courses required after basic coding in elementary and middle school. In particular, it is expected that it will be very helpful for the information gifted education program which is carried out in 2,920 gifted education institutions nationwide. Also, it is expected that it will be suitable for STEM education.

• Journal of The Korean Association of Information Education
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• v.22 no.3
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• pp.367-374
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• 2018

In order to cultivate the human resources needed in the 4th industrial revolution era, it is necessary to select the gifted students and educate them systematically. Although excellent gifted students are important in a specific field, more convergent talents in the fields of mathematics, science, and information are required. The purpose of this study is to investigate how evaluation factors reflecting the characteristics of information gifted students affect the selection of science gifted students of a university gifted education center. In the characteristics of information gifted students, the cognitive factors such as Rule creation ability, Reasoning ability, Efficiency ability, Generalization ability, Structuring ability and Abstraction ability were highly correlated in selecting the science gifted students. Correlations in the applicants group of students for science gifted education center are higher than those in the first passers group and higher than those in the final successful candidates group. This means that the factors that shows the characteristics of the information gifted have a great influence on the selection of the science gifted.