• Title/Summary/Keyword: Software Gifted

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Analyzation and Improvements of the Revised 2015 Education Curriculum for Information Science of Highschool: Focusing on Information Ethics and Multimedia (고등학교 정보과학의 2015 개정 교육과정에 대한 분석 및 개선 방안: 정보윤리와 멀티미디어를 중심으로)

  • Jeong, Seungdo;Cho, Jungwon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.8
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    • pp.208-214
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    • 2016
  • With the rising interest in intelligence information technology built on artificial intelligence and big data technologies, all countries in the world including advanced countries such as the United States, the United Kingdom, Japan and so on, have launched national investment programs in preparation for the fourth industrial revolution centered on the software industry. Our country belatedly recognized the importance of software and initiated the 2015 revised educational curriculum for elementary and secondary informatics subjects. This paper thoroughly analyzes the new educational curriculum for information science in high schools and, then, suggests improvements in the areas of information ethics and multimedia. The analysis of the information science curriculum is applied to over twenty science high schools and schools for gifted children, which are expected to play a leading role in scientific research in our country. In the future artificial intelligence era, in which our dependence on information technology will be further increased, information ethics education for talented students who will play the leading role in making and utilizing artificial intelligence systems should be strongly emphasized, and the focus of their education should be different from that of the existing system. Also, it is necessary that multimedia education centered on digital principles and compression techniques for images, sound, videos, etc., which are commonly used in real life, should be included in the 2015 revised educational curriculum. In this way, the goal of the 2015 revised educational curriculum can be achieved, which is to encourage innovation and the efficient resolution of problems in real life and diverse academic fields based on the fundamental concepts, principles and technology of computer science.

The predictability of science experience, school support and learning flow on the attitude of scientific inquiry in physical computing education (피지컬 컴퓨팅 교육에서 과학적 탐구 태도에 대한 과학경험, 교육지원, 학습몰입의 예측력 규명)

  • Kang, Myunghee;Jang, JeeEun;Yoon, Seonghye
    • Journal of The Korean Association of Information Education
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    • v.21 no.1
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    • pp.41-55
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    • 2017
  • The physical computing education, as the emerging field, is a form of education that helps learners to develop the attitude of scientific inquiry by developing meaningful and creative output through the integration of hardware and software elements. Based on the literature, the authors of the study used science experience, school support and learning flow as the variables that predict the outcome variable which is the attitude of scientific inquiry. The authors collected data from 64 fourth and sixth graders who studied physical computing at an institution for the gifted and talented in Korea and then analyzed them using descriptive statistics, correlation, multiple regression and simple mediation analysis methods. As a result, science experience and learning flow significantly predicted the attitude of scientific inquiry. In addition, learning flow mediated the relationship between science experience and the attitude of scientific inquiry, and the relationship between school support and the attitude of scientific inquiry. Based on these results, the authors propose that to promote the attitude of scientific inquiry in physical computing education, strategies must be implemented for improving science experience, school support and learning flow in instructional design.

Elementary School Teachers' Conception of the Learning Content of Elementary Science Education Subject Required in the 4th Industrial Revolution Era (4차 산업혁명 시대에 필요한 초등 과학교육학 과목의 학습 내용에 대한 초등 교사의 인식)

  • Na, Jiyeon
    • Journal of Science Education
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    • v.45 no.1
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    • pp.90-104
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    • 2021
  • This study conducted an online survey to understand what elementary school teachers think about the learning contents of elementary science education subjects needed to train elementary science teachers suitable for the era of the 4th Industrial Revolution. The results are as follows: First, there were many elementary school teachers who thought that the current learning content of elementary science education was not suitable for the era of the 4th Industrial Revolution and that it needed to modify the learning content. Many of the teachers said that the learning content of the subject did not include the characteristics of the 4th Industrial Revolution, but also did not reflect the changes of the times and remained in the past. Second, the content that elementary school teachers thought was important in training elementary school teachers suitable for the era of the 4th Industrial Revolution was mainly related to the interests and curiosity of students, and scientific experiments or inquiry. On the contrary, the items that they thought should be deleted or reduced included science learning theory, science teaching/learning model, nature of science, and guidance for gifted children. Third, the contents that elementary school teachers thought needed to be added as learning content of elementary science education subjects were SSI education, science education-related social change and future prediction, advanced science technology, STEAM guidance, and integrated education within the science field. Fourth, in order to train elementary school teachers suitable for the era of the 4th Industrial Revolution, the contents that they thought should be introduced first as learning content of elementary science education subjects were SSI education, integrated education within the science field, STEAM guidance, and core competencies. Other contents that need to be introduced were software education, safety education, and project learning methods.