• Journal of Gifted/Talented Education
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• v.19 no.3
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• pp.669-695
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• 2009

In the 21st century, there will be a robot revolution. Only several years ago, industrial robots were the mainstream in the robot market; however, diverse type of robots are currently entering into our daily lives for various purposes, and the robot that thinks and behaves very similarly to human will appear in the near future. However, there is a critical view about the robot period. This means that the robot revolution will change even the framework of our entire society and human life style, and it is necessary to have robot education. It is necessary to start robot education in the elementary school curriculum with a view to enhancing interest in basic science and scientific technology and cultivating creative talents who may adapt themselves to a robotic society. However, there is no systematic robot curriculum owing to insufficient perception of the need of robot education and the educational utilization of robots. Under these circumstances, robot education is largely dependent on education for students with special talents and aptitudes run by private organizations. This paper conducted the following research in order to develop a robot curriculum in education for the gifted elementary students of computer science. First, the paper identified problems by analyzing the robot curriculum from a micro perspective after selecting three organizations that are relatively well perceived out of private organizations that operate robot education for the gifted elementary students of computer science. Second, the paper developed a robot curriculum in education for the gifted elementary students of computer science based on the framework of a robot curriculum run by private sector. Third, the validity of the robot curriculum developed in this paper was verified by a professional group comprising mainly persons in charge of robot curriculum development at private sector and lecturers for robot education for the gifted elementary students of computer science.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.1166-1169
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• 2008

이 논문에서는 정보 영재의 사고력 신장을 위한 교수-학습 프로그램으로 트리 구성과 트리 탐색에 기반을 둔 모형을 제시하고 분석한다. 제시된 교수-학습 모형은 문제를 표현하는 트리의 유형에 따라 세 가지 유형으로 구분되며, 각 모형은 다시 네 가지 단계의 학습 단계로 구성된다. 구성되는 트리의 모형에 따라 적용되는 알고리즘에는 recursion, heuristic, minimax 탐색 방법 등이 도입되어 적용된다. 이 모델은 저 수준의 사고력을 요구하는 간단한 모형에서 출발하여 고 수준의 사고력을 요구하는 복잡한 모형으로 발전시키는 교육 방법을 제시함으로써 사고력 신장의 정도에 따라 초등학교 학생들로부터 중학교, 고등학교 학생들에 이르기 까지 대상을 확대하여 점진적으로 적용할 수 있는 교육 방법이 될 수 있을 것으로 사료된다. 이 교육 프로그램 모형을 실제 교육 현장에서 적용하여 교수-학습 프로그램 유형별로 학습 단계간의 적용 결과를 비교 분석한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.23-25
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• 2021

포화 이진 트리를 기반으로 하는 상수 분지수 3의 새로운 그래프 TG_n를 제안한다. TG_n의 노드 주소는 n개의 비트로 나타내며, 노드 수는 2ⁿ개이고 지름은 2n-2다. 에지는 3가지로 분류할 수 있으며, 루트 노드와 연결된 에지, 중간 노드와 연결된 에지, 말단 노드와 연결된 에지가 있다. 트리를 기반으로 한 TG_n의 깊이는 편의상 index N으로 나타낸다. index는 노드 주소를 S라 할 때, S가 0이면 0이고 1 이상이면 ⌊log₂S+1⌋이다. 본 연구에서는 상수 분지수를 갖는 TG_n을 정의하고, 라우팅 알고리즘과 지름을 분석한다.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.8
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• pp.130-137
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• 1999

The criteria for determining the elements are the minimum zone method(MZM) and the least squares method(LSM). The LSM is deterministic and simple but is limited at the measurements whose errors are significant compared with form errors. For the precise condition, minimum zone method(MZM) has been selected to determine the elements. It is not deterministic and nonlinear so that a optimizing procedure is needed. The Straightness is the fundamental problem in the evaluating form error. In this paper, a new approach adapting the genius education concept is proposed to obtain an accurate results for the minimum zone problem of the straightness. Its computational algorithm is studied on a set of randomly generated data. To be of almost no account of the specification(the number and the standard devistion etc.) of the sample data, the results shows excellent reliability and high accuracy in estimating the straightness.

• Journal of The Korean Association of Information Education
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• v.20 no.3
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• pp.243-254
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• 2016

This study has produced a checker of the shortest path search problem with a total of 19 questions as a web-based computer evaluation based on the 'TRAFFIC' questions of PISA 2012. It is because the computer has been settled as an indispensable and significant instrument in the process of solving the problems of everyday life and as a media that is underlying in assessment. Therefore, information gifted students should be able to solve the problem using the computer and give clear enough commands to the computer so that it can perform the procedure. In addition, since it is the age that the computational thinking is affecting every sectors, it should give students new educational stimuli. The relationship between the rate of correct answers and the time took to solve the problem through the shortest route search process showed a significant correlation the variable that affected the problem solving as the difficulty of the question rises due to the increase of nodes and edges turned out to be the node than the edge. It was revealed that information gifted students went through algorithmic thinking in the process of solving the shortest route search problem. And It could be confirmed cognitive characteristics of the information gifted students such as 'ability streamlining' and 'information structure memory'.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.167-173
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• 2021

The purpose of this study is to discuss the types of algorithms and data categories in AI education for elementary school students. The study surveyed 11 pre-elementary teachers after providing education and practice on various data, artificial intelligence algorithm, and AI education platform for 15 weeks. The categories of data and algorithms considering the elementary school level, and educational tools were presented, and their suitability was analyzed. Through the questionnaire, it was concluded that it is most suitable for the teacher to select and preprocess data in advance according to the purpose of the class, and the classification and prediction algorithms are suitable for elementary AI education. In addition, it was confirmed that Entry is most suitable as an AI educational tool, and materials that explain mathematical knowledge are needed to educate the concept of learning of AI. This study is meaningful in that it specifically presents the categories of algorithms and data with in AI education for elementary school students, and analyzes the need for related mathematics education and appropriate AI educational tools.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.7
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• pp.1400-1406
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• 2007

The core part of education program of the gifted students in information is the thinking ability extension of the programming. We propose four phases of the education model : (1) problem understanding (2) visualization (3) symbolization (4) algorithmization. This model of four phases is applied to learn the abstract concept of recursion using the data structure of Tree. This model is verified by presenting the example of 'Hanoi Tower' to stimulate intellectual curiosity of the students and help to expand their thinking strength. Also, we show the characteristics of which the teaching subjects and learning activities have, by presenting and clarifying the type of education program, properties of the learning contents, and lower level components. The students can deepen and foster the growth of the learning contents by the students' activities of self-evaluation, and their thinking abilities are increased by the guidances of their teachers.

• Journal of Gifted/Talented Education
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• v.25 no.2
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• pp.339-358
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• 2015

This study was to examine perceptions of information technology(IT) competencies among gifted and non-gifted students(i.e., information science high school students and technical high school students). Of the 370 high school students surveyed from 3 high schools(i.e., gifted academy, information science high school, and technical high school) in three metropolitan cities, Korea, 351 students completed and returned the questionnaires yielding a total response rate of 94.86%. High school students recognized the IT professional competence as being most important when recruiting IT employees. And they considered that practice-oriented education was the most importantly needed to improve their IT skills. In addition, the most important sub-factors of IT core competencies among gifted academy students and information science high school students were basic software skills. Also Technical high school students responded that the main network and security capabilities were the most importantly needed to do so. Finally, the most appropriate training courses for enhancing IT competencies were recognized differently among gifted and non-gifted students. Gifted academy students responded that the 'algorithm' was the mostly needed for enhancing IT competencies, whereas information science high school students responded that 'data structures' and 'computer architecture' were mostly needed to do. For technical high school students, they responded that a 'programming language' course was the most needed to do so. Results are discussed in relations to IT corporate and school settings.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.10 no.2
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• pp.38-45
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• 2011

The criteria for determining the elements are the minimum zone method(MZM) and the least squares method(LSM). The LSM is deterministic and simple but is limited at the measurements whose errors are significant compared with form errors. For the precise condition, minimum zone method(MZM) has been selected to determine the elements. The roundness is the fundamental problem in the evaluating form errors. In this paper, anew approach adapting the genius education concept is proposed to obtain an accurate results for the MZM and the LSM of the roundness. Its computational algorithm is studied on a set of measured sample data. To be of almost no account of the specification(the number and the standard deviation etc.) of the sanple data, the results shoqs excellent reliability and high accuracy in estimating the roundness.

• The Journal of Korean Association of Computer Education
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• v.18 no.4
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• pp.1-9
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• 2015

Problem solving is essential skill for all students in the $21^{st}$ century. In particular, as the computing system ensures the effectiveness of problem solving in the various disciplines and real life, interest in learning algorithms to design a problem solving process is increasing. In order to improve problem solving skill, students should not only understand algorithm design skills but also apply appropriate skills to solve faced problem. In terms of these the puzzle can be considered a preferred learning tools to improve problem solving skill. Therefore, in this study we designed puzzled based algorithm learning and analyzed the impact of puzzle based algorithm learning on problem solving skills of leaners. As the results of research, we confirmed that the puzzled based algorithm learning took positive effect on enhancing problem solving skills of the learners.