• Title/Summary/Keyword: educating computer principles

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Development of Subject-Convergent Teaching-Learning Materials for Core Principles of Support Vector Machines

  • Hwang, Yuri;Choi, Eunsun;Park, Namje
    • International Journal of Advanced Culture Technology
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    • v.10 no.1
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    • pp.42-46
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    • 2022
  • To cultivate talented people with creative and convergent thinking skills to live in the era of the 4th industrial revolution, the national curriculum of Korea is gradually emphasizing convergence education and software education. To meet the demands of the times, this paper suggests subject-convergent teaching-learning materials for educating core principles of Support Vector Machines, especially targeting elementary learners. Based on analysis of the national curriculum, achievement standards of three subjects are integrated. After printable worksheets for traditional face-to-face classes had developed, they were transformed to online interactive worksheets for non-face-to-face classes. The teaching-learning materials are expected to promote the growth of the learners' academic motivation and knowledge.

Design of Learning Contents for Teaching Principles of Binary System (초등학교에서의 바이너리 시스템 교육을 위한 컨텐츠 구상)

  • Ahn, Joong-Min;Moon, Gyo-Sik
    • 한국정보교육학회:학술대회논문집
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    • 2011.01a
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    • pp.253-259
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    • 2011
  • Computers are playing a major role in generating, sharing, and utilizing knowledge, which can be recognized as an essential component of national competitiveness. This may lead to the necessity as well as importance of computer education in elementary education. In the paper, we first investigate the necessity of teaching principles of binary system and then we figure out the status quo of teaching the subject in elementary classrooms. Based on the observations in the field, we design learning contents that can be used effectively in classroom so that students can learn easily the fundamental concept of binary system.

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Design of Programming Education Model Using Robot (로봇을 활용한 초등학교 프로그래밍 교육 설계)

  • Kim, Se-Hun;Yoo, In-Hwan
    • 한국정보교육학회:학술대회논문집
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    • 2011.01a
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    • pp.37-45
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    • 2011
  • We are taking advantage of the information and communications technology in every field of life at the moment. At this point of view, it is necessary to verify how the information technology performing properly in the education field. This paper is to analyze it and point out the problems in the significant programing study and map out the utilizing of Robot programing education based on the computer principle education. Therefore it is contributed to raise ingenuity, ability to think, problem-solving ability for the students as replacing old programing education with Robot programing education.

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An Educational Case Study of Image Recognition Principle in Artificial Neural Networks for Teacher Educations (교사교육을 위한 인공신경망 이미지인식원리 교육사례연구)

  • Hur, Kyeong
    • Journal of The Korean Association of Information Education
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    • v.25 no.5
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    • pp.791-801
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    • 2021
  • In this paper, an educational case that can be applied as artificial intelligence literacy education for preservice teachers and incumbent teachers was studied. To this end, a case of educating the operating principle of an artificial neural network that recognizes images is proposed. This training case focuses on the basic principles of artificial neural network operation and implementation, and applies the method of finding parameter optimization solutions required for artificial neural network implementation in a spreadsheet. In this paper, we focused on the artificial neural network of supervised learning method. First, as an artificial neural network principle education case, an artificial neural network education case for recognizing two types of images was proposed. Second, as an artificial neural network extension education case, an artificial neural network education case for recognizing three types of images was proposed. Finally, the results of analyzing artificial neural network training cases and training satisfaction analysis results are presented. Through the proposed training case, it is possible to learn about the operation principle of artificial neural networks, the method of writing training data, the number of parameter calculations executed according to the amount of training data, and parameter optimization. The results of the education satisfaction survey for preservice teachers and incumbent teachers showed a positive response result of over 70% for each survey item, indicating high class application suitability.