• 한국수학교육학회지시리즈A:수학교육
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• 제41권1호
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• pp.101-108
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• 2002

The purpose of this study is to estimate teachers' knowledge of mathematics via the concept of function. For the purpose, a survey was done to measure their knowledge of mathematics. The result obtained from the survey was as follows With respect to the knowledge on concept of friction, they understood the function as ordered pairs and graph rather than as relation and expression. This study reached the following conclusions from the result : They have the more static cognition than the dynamic one on the concept of unction.

• 한국콘텐츠학회논문지
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• 제20권12호
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• pp.230-240
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• 2020

가상세계 기반 몰입형 가정교사 시스템을 개발하기 위해 상황의 다양성과 사실성을 최대화하기 위한 공간적 측면에서의 시뮬레이션을 개발하고자 한다. 이를 위해서는 가상공간의 모델링과 함께 가상인간들의 지식 및 지능적 사유기능이 필요하다. 먼저 공간의 계층적이고 다면적인 구성과 그에 상응하는 가상인간들의 지식을 모사하기 위한 정보구조가 필요하다. 구체적으로 2.5차원 공간분포표현, 복잡한 공간관계표현, 객체표현, 사건들의 시공간적 표현을 위한 네 개의 구조를 각각 개발한다. 그리고 이와 같이 표현된 지식을 사용하여 공간적인 이동을 하는데 필요한 가상인간의 공간적 사유 기능을 개발한다. 일반적으로 사건은 힘을 매개로 인접하거나 연결된 다른 객체들에게도 연쇄적으로 영향을 미쳐서 다양한 상황들이 펼쳐지며 관련된 가상인간들이 다음 행동을 계획하는 데에 반영된다. 이를 위해 시공간 표현구조 상에 역사적 흐름에 따라 사건들의 전개를 기록한다. 전형적 사건을 구현하여 가상인간의 복잡한 공간속에서의 자주적 행동의 실현가능성을 보여준다.

• International Journal of Advanced Culture Technology
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• 제6권4호
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• pp.240-246
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• 2018

The purpose of the study was to examine early childhood teachers' content knowledge of movement education. The subjects, 60 early childhood teachers, were asked to draw concept maps about early childhood movement education. Their concept maps were analyzed in terms of superordinate and subordinate concepts by contents and frequency. The results were as follows. First, 263 superordinate concepts were shown, and they were categorized into 10 representative terms (body movement/health, music, expression, movement type, movement element, games, integration/arts, social studies, tool/instrument, and math/science). Second, 2,186 subordinate concepts were shown, and running, movement, jumping, musical instrument, and expression were frequently shown. In conclusion, early childhood teachers' content knowledge of movement education were various but insufficient in aspect of its systematic organization.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2004년도 춘계학술대회 학술발표 논문집 제14권 제1호
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• pp.273-276
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• 2004

Genome-scale expression data provides us with valuable insights about organisms, but the biological validation of in-silico analysis is difficult and often controversial. Here we present a new approach for integrating previously established knowledge with computational analysis. Based on the known biological evidences, IGAM (Integrated Gene Association Matrix) automatically estimates the relatedness between a pair of genes. We combined this association knowledge to the regulatory network modeling and fuzzy clustering in yeast 5. Cerevisiae. The result was found to be more effective for extracting biological meanings from in-silico inferences for gene expression data.

• 한국가정과교육학회지
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• 제29권1호
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• pp.57-70
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• 2017

본 연구는 예비 가정과 교사의 교수내용지식(PCK)과 교수 효능감 수준을 알아보고 이들 간의 관계를 확인하고, 예비 가정과 교사의 일반적인 특성에 따른 PCK와 교수 효능감 수준을 알아보는 것을 목적으로 하였다. 이를 위하여 전국의 대학교 사범대학의 가정교육과 학생 또는 교육대학원의 가정교육전공 학생 202명을 대상으로 설문조사를 실시하였다. 그 결과 대체로 예비 가정과 교사들의 PCK에 대한 자기지각과 교수 효능감은 높지 않은 편으로 나타났다. PCK 하위범주 중에서는 내용지식의 평균값이 가장 높았고, 표현지식과 환경상황지식이 가장 낮은 값을 보였다. 또한 표현 지식과 내용 지식이 많을수록 가정교과의 교수 자기 효능감이 높은 것으로 나타났으며, 표현지식과 환경상황지식이 높을수록 교수 결과에 대한 기대감이 높은 것으로 나타났다. 학생 지식도 자기 효능감의 두 변수들과 높은 상관을 보였다. 또한 예비교사들의 학년, 교직진로선택 여부, 수강한 기본이수과목수에 따라 PCK와 교수 효능감에서 유의한 차이를 보였다. 2학년의 PCK와 교수 효능감이 가장 높았고, 3, 4학년으로 갈수록 오히려 PCK와 교수 효능감이 떨어지는 것으로 나타났다. 또한 교직을 고려하지 않을수록 PCK와 교수 효능감이 높았으며, 수강한 기본이수과목수는 PCK와 교수 효능감에 부적 영향을 보였다. 예비 가정과 교사들의 PCK에 대한 자기지각과 교수 효능감은 높지 않은 편으로 나타났다. 본 연구는 교사양성기관에서의 학생들의 교수 효능감을 증진할 수 있는 교육과정과 교사로서의 진로를 선택할 경우 진로를 위하여 준비할 수 있는 지원 등이 마련되어야 하며, 교원양성 교육과정 중 예비교사들에게 수업실연과 교육 실습의 기회가 충분히 주어지도록 하는 것이 중요함을 제언하고 있다.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.278-282
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• 2001

The discovery of tacit knowledge from domain experts is one of the most exciting challenges in today\`s knowledge management. The nature of decision knowledge in determining the quality a firm\`s short-term liquidity is full of abstraction, ambiguity, and incompleteness, and presents a typical tacit knowledge extraction problem. In dealing with knowledge discovery of this nature, we propose a scheme that integrates both knowledge elicitation and knowledge discovery in the knowledge engineering processes. The knowledge elicitation component applies the Verbal Protocol Analysis to establish industrial cases as the basic knowledge data set. The knowledge discovery component then applies fuzzy clustering to the data set to build a fuzzy knowledge based system, which consists of a set of fuzzy rules representing the decision knowledge, and membership functions of each decision factor for verifying linguistic expression in the rules. The experimental results confirm that the proposed scheme can effectively discover the expert\`s tacit knowledge, and works as a feedback mechanism for human experts to fine-tune the conversion processes of converting tacit knowledge into implicit knowledge.

• 과학교육연구지
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• 제44권1호
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• pp.84-91
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• 2020

이 연구에서는 초등학교 3~6학년 과학 교과서 과학 탐구 활동에 나타난 지식정보처리역량 요소를 알아보고자 하였다. 이를 위해 지식정보처리역량의 구성 요소를 추출하였고, 지식정보처리역량 분석틀을 구안하였다. 초등학교 3~6학년 과학 교과서 8권을 분석 틀로 분석하여 다음과 같은 결과를 얻었다. 첫째, 지식정보처리역량은 '수집', '분석', '조직', '선택', '평가'의 5가지 요소로 정리할 수 있다. 둘째, 초등학교 과학 교과서의 과학 탐구 활동의 지식정보처리역량의 요소는 고르게 구성되지 않았다는 것을 알 수 있었다. 초등학교 과학 교과서의 과학 탐구 활동은 지식정보처리역량 5가지 요소 중 '수집', '분석'에 치우쳐 있었으며, '조직', '선택', '평가' 순으로 나타났다. 이상의 결과들로부터 초등학교 과학 교과에서 지식정보처리역량을 기르기 위한 과학 탐구 모형이나 과학 수업 모형이 필요함을 알 수 있었다.

• 한국초등과학교육학회지:초등과학교육
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• 제39권3호
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• pp.382-398
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• 2020

This study aims to analyze the relationship between scientific content knowledge of science-gifted elementary students and their expression of scientific creativity, and the characteristics of divided groups according to the levels of their scientific content knowledge and scientific creativity. A science-gifted program was implemented to 33 forth-graders in the Science-Gifted Education Center of an education office in Seoul, Korea. The method of evaluating scientific knowledge was divided into well-structured paper-pencil test (asking specific and limited range of content knowledge of plants) and ill-structured descriptive test (stating all the knowledge they know about plants) to find out which methods were more related to scientific creativity. In addition, in order to find out the characteristics of each group according to the level of scientific content knowledge and scientific creativity, students were required to answer a questionnaire about their own self-perception of scientific knowledge and scientific creativity and how to obtain scientific knowledge. The main results of this study are as follows. First, Both well-structured paper-pencil test (r=.38) and ill-structured descriptive test (r=.51) results of elementary science gifted students were significantly correlated with scientific creativity. Second, As a result of the regression analysis on scientific creativity of science-gifted elementary students, both the knowledge measured by the two evaluation methods have the ability to explain scientific creativity. Third, the students were categorized into four groups according to the levels of their scientific content knowledge and their expression of scientific creativity, and the result showed that the higher the knowledge of science, the higher the scientific creativity. Fourth, the description about self-perception of scientific knowledge revealed that the highest percentage of Type LL students of all 13 students (53.8%, 7 students) answered 'I have little knowledge of plants because I have little interest in them.' Fifth, the description about self-perception of scientific knowledge revealed that the highest percentage of Type HH students of all 15 students (40%, 6 students) answered 'I think my science creativity is high through my experience of scientific creativity. Sixth, the responses to the Questionnaire revealed that 'reading' was the most popular way to obtain scientific knowledge, with 27 out of total 33 students choosing it. In particular, all 18 students from Type HH (high scientific knowledge and high scientific creativity) and Type HL (high scientific knowledge and low scientific creativity) - those with high scientific knowledge - gave that response. On the basis of this research, we should explore practical teaching methods and environment for gifted students to improve their scientific creativity by revealing the nature of the factors that affect scientific creativity and analyzing relationship between knowledge and scientific creativity.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2000년도 International Symposium on Bioinformatics
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• pp.39-40
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• 2000

Knowledge discovery has attracted increased attention in the biomedical industry in recent years is due to the increased availability of huge amount of biomedical data and the imminent need to turn such data into useful information and knowledge. In this talk, we discuss knowledge discovery techniques for gene expression analysis and MHC-peptide binding prediction in the context of discovering protein antigens and hot spots in these antigens.

• International Journal of Knowledge Content Development & Technology
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• 제3권1호
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• pp.81-95
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• 2013

Through a series of precise text handling processes, including automatic extraction of information from documents with knowledge from various fields, recognition of entity names, detection of core topics, analysis of the relations between the extracted information and topics, and automatic inference of new knowledge, the most efficient knowledge base of the relevant field is created, and plans to apply these to the information knowledge management and service are the core requirements necessary for intellectualization of information. In this paper, the knowledge base, which is a necessary core resource and comprehensive technology for intellectualization of science and technology information, is described and the usability of academic information services using it is evaluated. The knowledge base proposed in this article is an amalgamation of information expression and knowledge storage, composed of identifying code systems from terms to documents, by integrating terminologies, word intelligent networks, topic networks, classification systems, and authority data.