• English Language & Literature Teaching
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• no.4
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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.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.6
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• pp.43-49
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• 2004

The classification time required by conventional multi-class SVMs(Support Vector Machines) greatly increases as the number of pattern classes increases. This is due to the fact that the needed set of binary class SVMs gets quite large. In this paper, we propose a method to reduce the number of classes by using nearest neighbor rule (NNR) in the principle component analysis and linear discriminant analysis (PCA+LDA) feature subspace. The proposed method reduces the number of face classes by selecting a few classes closest to the test data projected in the PCA+LDA feature subspace. Results of experiment show that our proposed method has a lower error rate than nearest neighbor classification (NNC) method. Though our error rate is comparable to the conventional multi-class SVMs, the classification process of our method is much faster.

• Journal of the Korean School Mathematics Society
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• v.2 no.1
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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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• v.11 no.2
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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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.167-174
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• 2021

This study examined the influences of participation in the free semester on school life satisfaction and interest in classes and whether the effect persisted longitudinally. The participants were students from middle schools located in large cities: 451 students in the experimental group and 466 students in the control group. Only the students of the experimental group participated in the free semester. The data were collected at the end of the free semester for three years, and the results are as follows. First, the school life satisfaction of students in the experimental group was significantly higher than those in the control group until the second year but not in the third year. Second, there was no difference in interest in the main subject classes between the experimental and control groups until the third year. Third, students' interest in art and sports classes in the experimental group was significantly higher than those in the control group until the second year but not in the third year. These findings suggest that long-term planning and management of the institution rather than short-term introduction is required for the continuous effects of the free semester.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.431-441
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• 2023

In a good class, the elements that make up the class are organically related as a system. The goal of the class is to foster the ability of students to fully understand the educational content of the subject and then apply it to their professional areas. Therefore, for ideal classes, it is necessary to design students to acquire the necessary theories and apply them practically. The question We always ask ourselves during lectures is how to effectively give large-scale lectures for students. This is also the concern of all professors in charge of large-scale lectures opened across various major fields. Now is the time to find ways to effectively give lectures on a large scale. We studied how it is most effective to design and implement various factors such as lectures, presentation and group organization, assignment, group presentation, professor's group presentation guidance, lecture materials posting, questions and answers, group presentation feedback, final report writing, and grade calculation.

• Proceedings of the KSRS Conference
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• 2007.10a
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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.

• Korean Journal of Remote Sensing
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• v.24 no.5
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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.

• Journal of Korea Multimedia Society
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• v.24 no.3
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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.

• Journal of The Korean Association For Science Education
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• v.40 no.2
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• pp.227-236
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• 2020

This study examines the change in students' science attitude and the growth of their core competencies through science classes emphasizing digital literacy. To this end, we conducted a study on 116 first graders in C middle school in the C region, and entered a science class that emphasized digital literacy of 35 classes. First, as a result of examining the effect on science attitude, a statistically significant change (p<.05) was observed. The effect size for each subregion ranged from 0.67 to 1.52. Second, there were no differences in the overall frequency of growth perception according to the type of class that emphasized digital literacy. However, in the analysis of core competencies, Web-based classes did not show a large difference in frequency by core competencies, whereas high-tech classes were slightly different by core competencies. This is an implication for science education, and it is necessary to increase the utilization of science classes that emphasize digital literacy.