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http://dx.doi.org/10.14352/jkaie.2021.25.1.149

Character Educational Implications of Artificial Neural Network Technology  

Kwon, Oh-Sung (Dept. of Computer Education, Gongju National University Of Education)
Publication Information
Journal of The Korean Association of Information Education / v.25, no.1, 2021 , pp. 149-155 More about this Journal
Abstract
Artificial neural network technology is a field of computer technology that seeks to mechanically realize human sensory processing and internal changes, and has sufficient relevance to neuroscience, character and moral education. Assuming that character education is an effort to guide the human inner side in a desirable direction, artificial neural networks are excellent as an experimental tool to explain such thought processes and characteristics. Therefore, this study seeks to find implications related to character education and explain the phenomenon based on the operating principle of AI artificial neural network technology. Recently, AI research tends to focus on connectionist intelligence, such as deep neural networks, rather than traditional symbolism. This paper also attempts to explain the unique behavioral characteristics of deep neural networks in relation to important elements of character education in accordance with this trend of the times. As a specific element of implications, "Overfitting: Resolving the concentrated learning ability", "Activation function; Ensuring individuality and diversity of learners" and "Analog processing: balance between learner's reason and emotion". As in this paper, efforts to find the implications of personality education from the perspective of AI artificial neural networks have meaning as a tool for fusion with other subjects and broaden the extension of AI information education.
Keywords
AI; Artificial Neural Network; Deep Learning; Connectionism; Symobolism; Character Education;
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