• 영어어문교육
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• 제4호
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• pp.85-116
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• 1998

Since the 1980's language teachers have been urged to take more communicatively oriented practice instead of traditional audio-lingual and grammar-translation instruction. However, there are many reasons why communication-centered teaching approaches haven't been easily adopted in Korea. First of all many English teachers haven't been prepared for communicative language teaching. And class size is very large. Another reason is that students' reading and writing skills are more important than their speaking and listening skills to enter colleges. But the world has been changing rapidly. We have many chances to meet foreigners and to talk to them. So many students want to improve their communicative proficiency. The purpose of this study is how to improve their communicative proficiency by performing games in English classes. There are many advantages of using games and songs in the classroom. First, games are motivating and challenging. Second, students can improve their four skills(speaking, writing, listening and reading skills) by using games and songs. Thirdly, games and songs help students to study English without their conscious efforts and to practice English repeatedly because they are interested in them. Fourthly, games and songs create a meaningful context for language use. Lastly, students can learn English with less tension and anxiety. Therefore, English games and songs are worthy of using in classes. To use English games and song more effectively, more various and useful materials have to be developed for English teachers and have to be introduced pertinently into classes.

• 대한전자공학회논문지SP
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• 제41권6호
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• pp.43-49
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• 2004

기존의 다중 클래스 SVMs은 클래스의 개수가 증가되면, 이진 클래스 SVMs의 수도 증가되어 분류를 위해 많은 시간이 요구된다. 본 논문에서는 분류 시간을 줄이기 위하여, PCA+LDA 특징 부 공간에서 NNR을 적용하여 클래스의 개수를 줄이는 방법을 제안한다. 제안된 방법은 PCA+LDA 특징 부 공간에서 간단한 NNR을 사용하여, 입력된 테스트 특징 데이터와 근접된 얼굴 클래스들을 추출함으로서 얼굴 클래스의 개수를 줄이는 방법이다. 클래스 개수를 줄임으로, 본 방법은 기존의 다중 클래스 SVMs에 비하여 훈련 횟수와 비교 횟수를 줄일 수 있고, 결과적으로 하나의 테스트 영상을 위한 분류 시간을 크게 줄일 수 있다. 또한 실험 결과, 제안된 방법은 NNC 기법보다 낮은 에러 율을 가지며, 기존의 다중 클래스 SVMs보다 동일한 에러 율을 갖지만, 보다 빠른 분류시간을 가짐을 확인할 수 있었다.

• 한국학교수학회논문집
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• 제2권1호
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• pp.79-91
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• 1999

The aim of this study focused on student-centered learning not teacher-centered teaching in middle school math classes. This study was performed to check the growth of students' problem-solving abilities, learning attitudes and changes in learning motivation among affective characteristics. The results of this study is as followings: 1) The controlled group a heterogeneous group which had classes in a math room, had more meaningful growth than the uncontrolled group. The results of the study show that the problem-solving abilities of the high-leveled group were better than those of the low-leveled group. 2) The controlled group has shown meaningful difference in their mean in learning aptitude test and attitude test converted their score into 100 points than uncontrolled group, and various kinds of learning materials suitable for problem solving are proved as a good learning factor to induce students' motivation and interest. 3) Students prefer to have classes in a math room to the small-sized and large-numbered classrooms. The atmosphere in a math room is more suitable to improving their problem-solving abilities. In this context, the classes performed in a math room are fairly positive. Consequently, students' leveled learning activities performed in a math room can get their learning motivation and attention from those who are lack of interest and think math is difficult and be effective to increase their problem-solving abilities as a learning method for acquiring the whole course of solving the problems.

• International Journal of Advanced Culture Technology
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• 제11권2호
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• pp.210-220
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• 2023

We analyzed and compared factors such as changes in the degree of difficulty of concepts presented in Chemistry I textbook, changes in class types (non-face-to-face, face-to-face), etc. on academic achievement by level (upper, middle, and lower). Students from A high school in Gyeongsangnam-do were selected for the subjects of the study. As a result of analyzing the change in the degree of difficulty of concepts, the total score of chemistry I combined by non-face-to-face and face-to-face classes during the second semester was lower than that of the first semester. As a result of analyzing the impact of factors such as changes in conceptual difficulty, changes in class types, etc. on academic achievement by level, students' grades at the 'lower level' by non-face-to-face classes were lower than those by face-to-face classes. In particular, at the lower level of the second semester, there was a large difference in grades between non-face-to-face and face-to-face classes. In the results of these studies, it was found that instructors' active feedback is important to identify difficulties in understanding learning contents for students with low levels of academic achievement and improve them at the same time.

• 한국산학기술학회논문지
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• 제22권4호
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• pp.167-174
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• 2021

본 연구는 자유학기제의 참여가 학교생활만족감과 수업흥미에 미치는 효과에 대해서 알아보고 그 효과가 종단적으로 지속되는지 알아보기 위하여 수행되었다. 연구 대상자는 대도시에 거주 중인 중학생으로서 자유학기제에 참여한 실험집단 451명과 자유학기제에 미참여한 통제집단 466명으로 자유학기제가 종료된 이후 매 년 3차년도까지 자료를 수집·분석하였다. 학교생활만족감의 분석 결과, 자유학기제 참여한 실험집단이 참여하지 않은 통제집단보다 통계적으로 유의하게 높았으며 이 경향은 2차년도까지 지속되었지만 3차년도에는 그 차이가 나타나지 않았다. 수업 흥미 중 주지교과 수업의 분석 결과, 3년 간 실험집단과 통제집단 간의 유의미한 차이가 없었다. 예체능 수업 흥미에 대한 분석 결과, 자유학기제 시행집단이 미 시행집단 보다 1차년도, 2차년도에는 통계적으로 유의하게 높았으나 3차년도에는 유의미한 차이가 없었다. 이러한 연구결과는 자유학기제의 지속적 효과를 위하여 단기적 운영에서 벗어나 장기적이고 체계적인 제도 마련과 운영이 필요함을 시사한다.

• 문화기술의 융합
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• 제9권5호
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• pp.431-441
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• 2023

좋은 수업은 수업을 구성하는 요소들이 하나의 체제로서 유기적 연관성을 갖는다. 수업의 목표는 학생들이 해당 과목의 교육내용을 충분히 이해한 뒤 이를 실제로 자신의 전문영역에 적용할 수 있는 능력을 함양하는 것이다. 따라서 이상적인 수업을 위해서는 학생들이 필요한 이론을 습득함과 동시에 이를 실질적으로 적용하도록 설계하는것이 필요하다. 우리는 수업을 진행하면서 늘 스스로 질문하기를 어떻게 하면 학생들을 위한 대단위 수업을 효과적으로 할 수 있을까를 연구한다. 이는 여러 전공 분야에 걸쳐 개설된 대단위 수업을 담당하는 많은 교수들의 고민이기도하다. 우리는 이렇게 대단위 수업을 효과적으로 할 수 있는 방안을 모색할 필요가 있는 시점에서 강의, 발제 및 조편성, 과제 부과, 조별 발표, 교수의 조별 발표지도, 강의 자료의 게시, 질문과 답변, 조별 발제에 대한 학생들의 피드백, 기말보고서 작성, 성적산출방식과 같은 다양한 요소들을 어떻게 설계하고 실행하는 것이 가장 효과적인지 연구하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.6-10
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• 2007

Classification of hyperspectral images is challenging. A very high dimensional input space requires an exponentially large amount of data to adequately and reliably represent the classes in that space. In other words in order to obtain statistically reliable classification results, the number of necessary training samples increases exponentially as the number of spectral bands increases. However, in many situations, acquisition of the large number of training samples for these high-dimensional datasets may not be so easy. This problem can be overcome by using multiple classifiers. In this paper we compared the effectiveness of two approaches for creating multiple classifiers, feature selection and feature extraction. The methods are based on generating multiple feature subsets by running feature selection or feature extraction algorithm several times, each time for discrimination of one of the classes from the rest. A maximum likelihood classifier is applied on each of the obtained feature subsets and finally a combination scheme was used to combine the outputs of individual classifiers. Experimental results show the effectiveness of feature extraction algorithm for generating multiple classifiers.

• 대한원격탐사학회지
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• 제24권5호
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• pp.507-515
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• 2008

Many studies have generally used a large number of pure pixels as an approach to training set design. The training set are used, however, varies between classifiers. In the recent research, it was reported that small mixed pixels between classes are actually more useful than larger pure pixels of each class in Support Vector Machine (SVM) classification. We evaluated a usability of small mixed pixels as a training set for the classification of high-resolution satellite imagery. We presented an advanced approach to obtain a mixed pixel readily, and evaluated the appropriateness with the land cover classification from IKONOS satellite imagery. The results showed that the accuracy of the classification based on small mixed pixels is nearly identical to the accuracy of the classification based on large pure pixels. However, it also showed a limitation that small mixed pixels used may provide insufficient information to separate the classes. Small mixed pixels of the class border region provide cost-effective training sets, but its use with other pixels must be considered in use of high-resolution satellite imagery or relatively complex land cover situations.

• 한국멀티미디어학회논문지
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• 제24권3호
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• pp.416-422
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• 2021

Due to the large differences in human activity within classes, the large similarity between classes, and the problems of visual angle and occlusion, it is difficult to extract features manually, and the detection rate of human behavior is low. In order to better solve these problems, an improved Faster R-CNN-based detection algorithm is proposed in this paper. It achieves multi-object recognition and localization through a second-order detection network, and replaces the original feature extraction module with Dense-Net, which can fuse multi-level feature information, increase network depth and avoid disappearance of network gradients. Meanwhile, the proposal merging strategy is improved with Soft-NMS, where an attenuation function is designed to replace the conventional NMS algorithm, thereby avoiding missed detection of adjacent or overlapping objects, and enhancing the network detection accuracy under multiple objects. During the experiment, the improved Faster R-CNN method in this article has 84.7% target detection result, which is improved compared to other methods, which proves that the target recognition method has significant advantages and potential.

• 한국과학교육학회지
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• 제40권2호
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• pp.227-236
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• 2020

이 연구는 디지털 리터러시를 강조한 과학 수업을 통해 학생의 과학에 대한 태도 변화와 핵심역량의 성장을 알아보았다. 이를 위해 C 지역의 C 중학교 1학년 116명을 대상으로 연구를 진행하였으며, 총 35차시의 디지털 리터러시를 강조한 과학 수업을 투입하였다. 첫째로, 과학 태도에 미치는 영향을 알아본 결과 통계적으로 유의미한 변화가 있었다(p<.05). 하위영역별 효과 크기는 0.67~1.52로 중간이상의 효과 크기를 보였다. 둘째로, 디지털 리터러시를 강조한 수업의 유형에 따라서 성장 인식의 전체 빈도 차이는 크게 없었다. 하지만 핵심역량에 따른 분석에서는 Web 기반 수업은 핵심역량별로 빈도의 차이가 크지 않는 반면, 첨단기술 수업은 핵심역량별로 다소 차이가 큼을 확인할 수 있었다. 이는 과학교육에 주는 시사점으로 디지털 리터러시를 강조한 과학 수업의 활용을 높일 필요가 있다.