• 한국환경교육학회지:환경교육
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• 제13권1호
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• pp.44-52
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• 2000

In this study, the effects of structured controversy strategy, individual learning, and traditional learning on the learning of environmental unit in ‘General Science’ were compared. One hundred and forty-three 10th-graders had been taught about environmental issues-self purification, biological concentration, acid rain, greenhouse effect, noise, and radioactivity-for 6 class hours. Prior to the instructions, environmental attitudes test and self-esteem test were administered. After the instructions, their achievements, critical thinking, environmental attitudes. self-esteem, and views on Science-Technology-Society were examined. The results of 2-way ANCOVA and/or Kruskal-Wallis test revealed that there were no significant main effects in the scores of the achievement test and the critical thinking test. The environmental attitudes test scores tended to be highest in the structured controversy group, and lowest in the traditional learning group. Self-esteem scores of the structured controversy group and the individual learning group were higher than those of the traditional learning group. Significant differences by students' prior achievement level in students' critical thinking, environmental attitudes, and views on Science-Technology-Society were also found.

• Communications for Statistical Applications and Methods
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• 제10권3호
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• pp.879-894
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• 2003

We evaluated the efficiencies of applying attribute selection methods and prior discretization to supervised learning, modelled by C4.5 and Naive Bayes. Three databases were obtained from UCI data archive, which consisted of continuous attributes except for one decision attribute. Four methods were used for attribute selection : MDI, ReliefF, Gain Ratio and Consistency-based method. MDI and ReliefF can be used for both continuous and discrete attributes, but the other two methods can be used only for discrete attributes. Discretization was performed using the Fayyad and Irani method. To investigate the effect of noise included in the database, noises were introduced into the data sets up to the extents of 10 or 20%, and then the data, including those either containing the noises or not, were processed through the steps of attribute selection, discretization and classification. The results of this study indicate that classification of the data based on selected attributes yields higher accuracy than in the case of classifying the full data set, and prior discretization does not lower the accuracy.

• International journal of advanced smart convergence
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• 제11권2호
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• pp.13-21
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• 2022

In this paper, we propose a learning based joint demosaicing and super-resolution framework which uses only the mosaiced color filter array(CFA) image as the input. As the proposed method works only on the mosaicied CFA image itself, there is no need for a large dataset. Based on our framework, we proposed two different structures, where the first structure uses one deep image prior network, while the second uses two. Experimental results show that even though we use only the CFA image as the training image, the proposed method can result in better visual quality than other bilinear interpolation combined demosaicing methods, and therefore, opens up a new research area for joint demosaicing and super-resolution on raw images.

• 한국정보통신학회논문지
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• 제21권5호
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• pp.1042-1048
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• 2017

최근 새로운 산업 환경의 변화에 필요한 맞춤형 기업 인재양성을 위한 효과적인 교수학습방법으로 플립러닝이 주목 받고 있다. 기존 강의식 수업방식의 경우 중도탈락률이 높고 창의적 문제 해결력을 저해하는 등의 다양한 문제점이 있다. IT 공과대학의 경우 선수 교과목의 선행이 필요한 전공 이론과목이 대부분이므로 학생들의 학습 참여도와 학업 성취도를 높일 수 있는 효과적인 교수학습방법의 개발이 필요하다. 본 논문에서는 학생들의 학습 동기를 유발하고 자기 주도적 학습을 통한 학습 효과를 높이기 위해 플립러닝과 실습수업을 병행한 5단계 플립러닝 수업모형을 제안하였다. 또한 컴퓨터공학과의 알고리즘 수업에 적용하여 학습 효과를 분석하고 그 결과를 바탕으로 문제점 및 활용방안을 제시하고자 한다.

• 한국초등과학교육학회지:초등과학교육
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• 제38권1호
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• pp.43-54
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• 2019

In order to organize various places for science experience study, this study gathered and analyzed prior research on science experience study and various science experience perated in school. To that end, a total of 162 relevant prior studies of literature published from 2000 to 2016 were collected and 2,201 cases of science experience study conducted in 2015 were collected and analyzed. The place where the science experiential learning was done is divided into three areas of natural ecology, cultural history, facility experiential learning study, and the characteristics of participating subjects are examined. In terms of the number of articles published in the field of science-related experiential learning areas, 83 ecological experience study sites (51.2%), facilities institution experience study sites 56 (34.6%), and cultural history experience study books 23 (14.2%). Through this study, it was found out that research tendency to analyze science - related attitudes became prominent by setting study subjects using natural objects around and learning to play while playing and playing in nature. There was also an analysis by subjects of participation in science related experience learning centers. Cultural history experiential learning field was significantly lower than previous studies. In the lower grades, nature ecological experience learning was mainly performed. Combining the above findings, it can provide implications for the development of science-related experience activities. First, it is necessary to develop a technology-related experience learning center using local community resources. Second, it is necessary to expand the culture and history experience learning center related to science. Third, we need an education support center to support the expansion and operation of such a technology-related cultural history learning center.

• 한국IT서비스학회지
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• 제20권4호
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• pp.129-140
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• 2021

Recently, interest in AI tutors is rising as a way to bridge the educational gap in school settings. However, research confirming the effectiveness of AI tutors is lacking. The purpose of this study is to explore how effective learner characteristics and recommended item learning activities are in predicting learner's academic performance in an adaptive online learning environment. This study proposed the hypothesis that learner characteristics (prior knowledge, midterm evaluation) and recommended item learning activities (learning time, correct answer check, incorrect answer correction, satisfaction, correct answer rate) predict academic achievement. In order to verify the hypothesis, the data of 362 learners were analyzed by collecting data from the learning management system (LMS) from the perspective of learning analytics. For data analysis, regression analysis was performed using the regsubset function provided by the leaps package of the R program. The results of analyses showed that prior knowledge, midterm evaluation, correct answer confirmation, incorrect answer correction, and satisfaction had a positive effect on academic performance, but learning time had a negative effect on academic performance. On the other hand, the percentage of correct answers did not have a significant effect on academic performance. The results of this study suggest that recommended item learning activities, which mean behavioral indicators of interaction with AI tutors, are important in the learning process stage to increase academic performance in an adaptive online learning environment.

• 한국초등과학교육학회지:초등과학교육
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• 제25권2호
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• pp.191-205
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• 2006

The purpose of this study was to explore strategies used by pre-service elementary science teachers in planning a science lesson. The participants were six senior students from a national university of education located in the midwestern area of Korea. Data regarding their planning strategies were gathered through both thinking-aloud and observation. Research findings suggest that: three of the teachers had little understanding of the necessity of reviewing unit contents or prior learning for planning a science lesson; five student teachers relied heavily on learning objectives presented in teachers' guidebooks without considering their appropriateness; all teachers exhibited an intention of composing different activities or teaching approaches from teachers' guidebooks; only two teachers thought about learners' prior knowledge or understanding levels; five and three teachers had poor understanding of discovery learning models and importance of teacher's questioning, respectively; and five teachers paid little attention to assessment.

• 디지털융복합연구
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• 제10권10호
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• pp.439-445
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• 2012

본 논문에서는 QR코드를 이용한 새로운 현장체험 사전교육자료를 개발하고 이에 대한 교육적 가능성에 대해 살펴본다. QR코드를 활용하여 개발한 사전교육자료를 2012년 초등학교 현장체험에 적용하였으며, 이를 통해 학습자들이 QR코드를 이용한 교육 자료의 활용 가능성을 탐색하고 자기주도적 학습을 할 수 있는 교육적 가능성을 알았다. 아직은 확연하게 학부모, 학생들이 QR코드를 활용한 자료를 선호한다는 반응은 얻지 못하였지만 체험학습에 참여한 학생들은 QR코드를 활용한 사전교육자료의 가능성과 유용성에 대해서는 긍정적인 반응을 나타냈다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
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• pp.218-223
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• 1992

This paper describes a learning method of neural network controllers. The learning method improves the performance of indirect learning mechanism in the neuro-control of nonlinear systems. To precisely identify dynamic characteristics of the plant by utilizing a limited prior information we propose a new energy function which takes advantage of the proportional relationship between outputs of the plant and those of neural networks.

• 한국음향학회지
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• 제41권2호
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• pp.199-209
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• 2022

일반적인 비정상 탐지 알고리즘은 사전 데이터를 이용하여 학습된다. 따라서 시간에 따른 정상 데이터의 특징이 변화되는 경우에 기존의 배치 학습 기반 알고리즘의 성능 저하가 불가피하다. 본 논문에서는 정상 데이터의 점진적 특징 변화를 고려할 수 있는 온라인 비정상 탐지 알고리즘을 제안한다. 제안하는 알고리즘은 단일 클래스 분류 모델에 기반하며 오프라인 및 온라인 단계의 학습 과정을 포함한다. 제안된 알고리즘의 오프라인 학습 단계에서는 사전 데이터가 잠재 공간의 중심에 근접하도록 학습하고, 이후 온라인 학습단계에서는 신규 데이터에 의한 점진적 잠재 공간의 중심을 갱신하고, 갱신된 중심을 기준으로 계속 학습을 진행한다. 공개된 수중 음향 데이터를 이용한 실험결과 제안된 온라인 비정상 탐지 알고리즘은 점진적 중심 갱신 및 학습을 위해 단지 2 % 정도의 추가 학습시간이 소요되는 것으로 확인되었다. 반면에 시변 정상데이터가 수신되는 경우에 오프라인 학습 모델과 비교하여 19.10 % 개선된 Area Under the receiver operating characteristic Curve(AUC) 성능을 보였다.