• Title/Summary/Keyword: 인공지능 시대

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Design of Artificial Intelligence Course for Humanities and Social Sciences Majors

  • KyungHee Lee
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.4
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    • pp.187-195
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    • 2023

  • This study propose to develop artificial intelligence liberal arts courses for college students in the humanities and social sciences majors using the entry artificial intelligence model. A group of experts in computer, artificial intelligence, and pedagogy was formed, and the final artificial intelligence liberal arts course was developed using previous research analysis and Delphi techniques. As a result of the study, the educational topics were largely composed of four categories: image classification, image recognition, text classification, and sound classification. The training consisted of 1) Understanding the principles of artificial intelligence, 2) Practice using the entry artificial intelligence model, 3) Identifying the Ethical Impact, and 4) Based on learned, team idea meeting to solve real-life problems. Through this course, understanding the principles of the core technology of artificial intelligence can be directly implemented through the entry artificial intelligence model, and furthermore, based on the experience of solving various real-life problems with artificial intelligence, and it can be expected to contribute positively to understanding technology, exploring the ethics needed in the artificial intelligence era.

  • https://doi.org/10.9708/jksci.2023.28.04.187 인용 PDF HTML

A Study on the Construction of Intelligent Learning Platform Model for Faith Education in the Post Corona Era (포스트 코로나 시대 신앙교육을 위한 지능형학습플랫폼 모형 구성 연구)

  • Lee, Eun Chul
    • Journal of Christian Education in Korea
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    • v.66
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    • pp.309-341
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    • 2021

  • The purpose of this study is to develop an intelligent learning platform model for faith education in preparation for the post-corona era. This study reviewed artificial intelligence algorithms, research on learning platform development, and prior research related to faith education. The draft of the intelligent learning platform design model was developed by synthesizing previous studies. The developed draft model was validated by a Delphi survey targeting 5 experts. The content validity of the developed draft model was all 1. This is the validation of the draft model. Three revised opinions of experts were presented on the model. And the model was revised to reflect the opinions of experts. The modified final model consisted of three areas: learning materials, learning activities, learning data, and artificial intelligence. Each area is composed of 9 elements of curriculum, learning content additional learning resources, learner type, learning behavior, evaluation behavior, learner characteristic data, learning activity data, artificial intelligence data, and learning analysis. Each component has 29 sub-elements. In addition, 14 learning floors were formed. The biggest implication of this study is the first development of a basic model of an intelligent learning platform for faith education.

  • https://doi.org/10.17968/jcek.2021..66.010 인용 PDF

Fruit price prediction study using artificial intelligence (인공지능을 이용한 과일 가격 예측 모델 연구)

  • Im, Jin-mo;Kim, Weol-Youg;Byoun, Woo-Jin;Shin, Seung-Jung
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.2
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    • pp.197-204
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    • 2018

  • One of the hottest issues in our 21st century is AI. Just as the automation of manual labor has been achieved through the Industrial Revolution in the agricultural society, the intelligence information society has come through the SW Revolution in the information society. With the advent of Google 'Alpha Go', the computer has learned and predicted its own machine learning, and now the time has come for the computer to surpass the human, even to the world of Baduk, in other words, the computer. Machine learning ML (machine learning) is a field of artificial intelligence. Machine learning ML (machine learning) is a field of artificial intelligence, which means that AI technology is developed to allow the computer to learn by itself. The time has come when computers are beyond human beings. Many companies use machine learning, for example, to keep learning images on Facebook, and then telling them who they are. We also used a neural network to build an efficient energy usage model for Google's data center optimization. As another example, Microsoft's real-time interpretation model is a more sophisticated translation model as the language-related input data increases through translation learning. As machine learning has been increasingly used in many fields, we have to jump into the AI industry to move forward in our 21st century society.

  • https://doi.org/10.17703/JCCT.2018.4.2.197 인용 PDF KSCI