• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 춘계학술대회
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• pp.108-111
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• 2014

본 연구에서는 과학영재교육원의 영재교육대상자의 학습 특성을 분석하여 선발 및 교육에 시사점을 찾고자 하였다. 연구 대상은 중학교 학생들로써 기존의 영재교육기관 경험이 없는 기초과정 학생들의 학습능력검사(Learning Ability Test: LAT)를 통하여 반별 특성을 분석하였다. 분석 방법은 표준점수를 통한 기술통계분석을 이용하였다. 분석 결과 영재교육 대상자들은 어휘력, 추리력, 수리력에 있어서는 상위 2%이상, 또한 공간지각력에서는 상위10% 이상의 결과로 "학습능력" 차원에서 일반 학생에 비해 뛰어난 학습자로 판돤되었다. '학습활동'의 항목으로 설정한 기억력, 집중력, 실행력, 학습동기는 각각 62.05, 61.4, 62.5, 62.4로 백분위로 보았을 때, 기억력과 집중력은 상위12~14%, 실행력과 학습동기는 상위 10~11%에 해당하는 학습자로 볼 수 있다. 결론적으로 연구대상 학습자는 전반적으로 일반 학습자에 비해 '학습능력'과 '학습활동'이 뛰어난 학습자인 것으로 보이며, 특히 '학습능력'중 어휘력, 추리력, 수리력의 경우는 상위2~3%의 학습자로 영재교육 대상자 선정이 잘 이루어진 것으로 볼수 있다. 다만 '학습능력'에 비하여 '학습활동'영역이 백분위로 보았을 때 10%포인트 이상 차이가 나는 것은 학습자들이 가지고 있는 인지적 재능은 많으나 실제적으로 활용할 수단과 방법을 잘 모르고 있는 경우라고 유추할 수 있다.

• 한국콘텐츠학회논문지
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• 제19권2호
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• pp.340-348
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• 2019

본 연구는 2015년에서 2018년간, 자료가 축적된 서울시 158개 상권별 주요변수를 이용하여, 상업젠트리피케이션 발생에 영향을 미치는 요인을 로짓모형과 기계학습 방법론을 사용하여 분석하였다. 로짓분석 결과 log(상권 월평균임대료), 음식 소매업종 총매출대비 40세 이하 매출 비중이 유의수준 1%수준에서, 음식 소매업종 30대 여성 객단가 변화는 유의수준 5%에서, 프랜차이즈업종 2년이내 개업한 업소비율 변화는 유의수준 10%에서 유의하게 나타났다. 기계학습 결과 중요도가 높은 순서는 상권 전체 바닥면적, 상권의 월평균 임대료, 40세 미만 유동인구 비율, 프랜차이즈 30대 객단가, 음식 소매업종 30대 여성 객단가 변화 등 5개이다. 본 연구의 기여는 세 가지이다. 첫째, 본 연구는 서울시 전역의 상업 공간에 대한 자료를 분석하였다. 둘째, 본 연구는 상업젠트리피케이션의 발생에 영향을 미치는 요인을 실증하여, 예측지표 마련을 위한 기초연구를 제공하였다. 끝으로 기계학습 분석을 추가하여 다양한 접근방법을 소개하였다.

• Child Health Nursing Research
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• 제28권4호
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• pp.280-290
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• 2022

Purpose: This study aimed to explore nursing students' experiences of neonatal nursing simulations using peer tutoring. Methods: In this qualitative content analysis study, data were collected using a narrative survey and focus group interviews with 27 third-year nursing students and six fourth-year nursing students from April to May 2022. Content analysis of the collected data was conducted. Results: Four categories-"stabilizing emotionally through each other", "advancing together", "difficulties in relationships", and "hoping to continue"-and nine sub-categories were extracted. The sub-categories "reduced burden" and "gaining confidence" were grouped into the first category, "stabilizing emotionally through each other". The sub-categories "being motivated to learn," "increased learning ability", and "preparation as a process" were grouped under "advancing together", and "attitudes affecting study environment" and "depending on help" were grouped into the third category of "difficulties in relationships". The fourth category of "hoping to continue" had "wanting to supplement for development" and "wanting to participate in different roles" as sub-categories. Conclusion: Based on the results of this study, we expect pediatric nursing practicum education to improve through the active use of neonatal nursing simulation education incorporating peer tutoring.

• 한국인터넷방송통신학회논문지
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• 제18권5호
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• pp.171-177
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• 2018

최근 많은 이미지 데이터 셋들은 일반적인 특성을 추출하기 위한 다양한 데이터 클래스와 특징을 가지고 있다. 하지만 이러한 다양한 데이터 클래스와 특징으로 인해 해당 데이터 셋으로 훈련된 물체 검출 딥러닝 모델은 데이터 특성이 다른 환경에서 좋은 성능을 내지 못하는 단점을 보인다. 이 논문에서는 하위 카테고리 기반 물체 검출 방법과 오픈셋 물체 검출 방법을 이용하여 이를 극복하고, 강인한 물체 검출 딥러닝 모델을 훈련하기 위해 능동 준지도 학습 (Active Semi-Supervised Learning)을 이용한 다중 분기 트리 구조를 제안한다. 우리는 이 구조를 이용함으로써 데이터 특성이 다른 환경에서 적응할 수 있는 모델을 가질 수 있고, 나아가 이 모델을 이용하여 이전의 모델보다 높은 성능을 확보 할 수 있다.

• 성인간호학회지
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• 제22권4호
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• pp.395-407
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• 2010

Purpose: This study was to explore the process of belongingness experienced during the apprentice course for advanced practice nurses. Methods: Data were collected through in-depth interviews with 15 people, who attended the apprentice course for advanced practice nurse, from three schools in Seoul from Jan. 19 until Feb. 25, 2010. The constant comparative method was adapted for data analysis. Results: The core category of this study was the 'learning-connected process' and this process was categorized into three stages. These stages were: going along with the atmosphere, exchanging, and integrating. During the course, the 'uncomfortable participation' as the central idea meant a sense of responsibility and a tension about practice learning of the participant and was influenced by the quality of interaction and the distinct instruction of learning contents. Belongingness was characterized by the Joyful and happy participation which linked to the motivation of new learning opportunities. Conclusion: The findings indicate that there is a process to belongingness and a close relationship between belongingness and learning. Further studies would suggest exploring the components of belongingness, a concept analysis and incorporating the belongingness scale with other qualitative research on this topic.

• Wind and Structures
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• 제36권6호
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• pp.355-366
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• 2023

Although machine learning (ML) techniques have been widely used in various fields of engineering practice, their applications in the field of wind engineering are still at the initial stage. In order to evaluate the feasibility of machine learning algorithms for prediction of wind loads on high-rise buildings, this study took the exposure category type, wind direction and the height of local wind force as the input features and adopted four different machine learning algorithms including k-nearest neighbor (KNN), support vector machine (SVM), gradient boosting regression tree (GBRT) and extreme gradient (XG) boosting to predict wind force coefficients of CAARC standard tall building model. All the hyper-parameters of four ML algorithms are optimized by tree-structured Parzen estimator (TPE). The result shows that mean drag force coefficients and RMS lift force coefficients can be well predicted by the GBRT algorithm model while the RMS drag force coefficients can be forecasted preferably by the XG boosting algorithm model. The proposed machine learning based algorithms for wind loads prediction can be an alternative of traditional wind tunnel tests and computational fluid dynamic simulations.

• 대한간호학회지
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• 제36권1호
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• pp.25-36
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• 2006

Purpose: The purpose of the study was to identify the adaptation process to problem based learning(PBL) among nursing students who have experienced PBL classes for two years. Method: Data was collected from 11 nursing students with in-depth interviews and direct observation of their PBL experiences by a researcher who has been a facilitator for PBL class for 3years. Immediately after the interviews all of them were transcribed. It was analyzed by the Ground theory of Corbin and Strauss. Results: A derived core category was 'Acquiring PBL'. 4 stages of the acquiring process were derived and written in time sequence: chaos, confusion, beginning insight, and achievement stage. Conclusion: The results will not only expand understanding of the students for the facilitator and school which has adopted PBL but also provide information to develop an orientation program for PBL. Further research on the facilitator's role experiences is recommended.

• Journal of the Korean Data and Information Science Society
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• 제11권1호
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• pp.19-30
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• 2000

정보통신기술의 비약적인 발전은 온라인으로 생성되는 전자문서의 양을 폭발적으로 증가시키고 있다. 따라서 수동으로 문서를 분류하던 종래의 방법 대신 문서의 자동분유 기술 개발이 특별히 요구되고 있다. 본 논문에서는 베이지안 학습 기법을 이용하여 문서를 자동으로 분류하는 방법을 연구하고, 20개의 유즈넷 뉴스그룹 문서들을 분류하도록 시험하였다. 사용한 알고리즘은 Naive Bayes Classifier이며, 구현한 시스템을 이용해 유즈넷 문서를 대상으로 자동분류를 실험한 결과 분류의 정확률이 약 77%로 나타났다.

• 한국과학교육학회지
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• 제5권2호
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• pp.139-145
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• 1985

This study was undertaken to analyze the research trends on science education in Korea. In this study the analysis for of trends of researches on science education, nine areas such as historical change of science Education, Processes of science learning science curriculum, science instruction, teaching-learning materials and equipment for science education, valuation on science education, survey on Korean science education, policy and management of science education, and natural science, were chosen for the analysir. All science education. thesis and dissertations in Korea, papers of science education published by the science center of the Seoul National University and the papers of the Journal of the Korean Association of Res Search in science Education were analyzed. The findings of this study are as follows: 1. Seventy percentile of science educational thesis and dissertations are on natural science areas. 2. About 14% of all papers being sampled is in science curriculum research category. There are few research studies on historical changes of science education, and teaching-learning materials and equipments for science education.

• Journal of the Korean Data and Information Science Society
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• 제18권3호
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• pp.721-733
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• 2007

The purpose of this research was to determine the effects of the functional lateralization of the brain variables related to the sex, the scientific attitude and the scientific exploration skills. The science instruction is divided in each type of the lecturing class with the experiment class. As for the degree of SMR brainwave activation in each stage are presented while accumulating the brain waves from the right, left and the whole brain waves are analyzed during the science learning activities. It is therefore reasonable to consider the science instruction types and brain lateralization to enhance the science learning effectiveness. Sensorimotor rhythm brainwave as the low Beta is represented well to show the thought process. Category quantification scores and objective scores are calculated to show the visual positioning map for the relationships of the categories by homogeneity analysis.