Eunsill Jang, Jaehyoun Kim, Journal of Internet Computing and Services, Vol. 20, No. 6, pp. 167-177, Dec. 2019
10.7472/jksii.2019.20.6.167, Full Text:
Keywords: SW Convergence Gifted, Reinforcing Competence of Teacher, Tensorflow, Artificial intelligence, Education Contents

Abstract

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.

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