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http://dx.doi.org/10.7472/jksii.2019.20.6.167

Development of Artificial Intelligence Education Contents based on TensorFlow for Reinforcement of SW Convergence Gifted Teacher Competency  

Jang, Eunsill (Sungkyun Software Education Institute, Sungkyunkwan University)
Kim, Jaehyoun (Dept. of Computer Education, Sungkyunkwan University)
Publication Information
Journal of Internet Computing and Services / v.20, no.6, 2019 , pp. 167-177 More about this Journal
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.
Keywords
SW Convergence Gifted; Reinforcing Competence of Teacher; TensorFlow; Artificial Intelligence; Education Contents;
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