• Journal of the Korean earth science society
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• v.24 no.3
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• pp.128-134
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• 2003

This study is focused on how much middle school students who study the chapter of first-grade science,'The Material and Change of the Earth's Crust', connect and understand what they learn with their environment and surroundings. This paper will discuss the connection between school education and living surroundings and how much the difference between the surroundings influences students' concepts and attitudes toward science. This study included 330students in the second year of middle schools from Jeonju, Buan and Jinan in Jeollabuk-do. This study analyzed students' concepts of mineral and rocks by having them observe samples in class. Only 16 percent of the students observe surrounding rocks with interest, but most of them are not interested. Chaesukgang and Mountain Mai are two local places in Jeollabuk-do which have a lot of specific stratum and geological structures, so it's easy for teachers to provide an outdoor experience by showing the students rocks and geological structures. Although which students have a little more observation experience than Jeonju area students, students who throughout the county seldom do outdoor observation learning. By collecting and observing the surrounding minerals and rocks, along with teaching the chapter 'The Materials and Change of the Earth's Crust', and by visiting outdoor locations while teaching about geological structures, we can improve our teaching.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2022.03a
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• pp.51-52
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• 2022

• Journal of the Korean earth science society
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• v.30 no.7
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• pp.883-896
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• 2009

This study is to develop teaching materials for geological fieldwork around Bonghwabong area in the national park of the Byeonsan Peninsula, Buangun, Jeonbuk. The developed materials are applied in the geological fieldwork of science high school students to maximize the effects of use. The sedimentary succession of the Bonghwabong area in the Cretaceous age, Mesozoic, represents large-scale and distinctive sedimentary structures on the sea cliffs, which are utilized as teaching materials for earth science fieldwork. The area of Bonghwabong also comprises various geological structures related to advanced learning programs as well as those within the curriculum of high school earth science. A five-step fieldwork model was applied to 15 students in clubs related to earth science in a science high school. This study used a qualitative methodology to analyze students' responses that were gathered about the process of fieldwork. During the activity, a qualitative analysis was carried out by using discussions and interviews both with the students and the teacher. Results indicated that the fieldwork activity using teaching materials was effective in helping the students improve their self-directed learning and practical understanding of earth science.

• Journal of the Korean earth science society
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• v.33 no.7
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• pp.658-671
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• 2012

This study is to develop teaching materials for the geological fieldwork of Jeokbyeokgang area located in the national park of the Byeonsan-bando National Park, Buangun, Jeonbuk, Korea. The developed teaching materials are used in middle school science to effectively teach the fieldwork of the area. The sedimentary succession of Jeokbyeokgang area in the Cretaceous age, Mesozoic, represents the large-scale and distinctive sedimentary structures on sea cliffs, which are worth developing as teaching materials for the earth science fieldwork. The area of Jeokbyeokgang also comprises various geological structures related to the advanced learning programs as well as those within the curriculum of earth science in middle school level. A five-step fieldwork model was applied to 20 students in middle school earth science. This study quantitatively analyzed students' responses to the process of the fieldwork activity. Results indicated that the fieldwork activity using the developed teaching materials was effective in helping the students to improve their self-directed learning and practical understanding of earth science.

• 열린충남
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• s.61
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• pp.68-69
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• 2013

• 열린충남
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• s.55
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• pp.84-85
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• 2011

• Journal of Digital Convergence
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• v.18 no.1
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• pp.277-286
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• 2020

In this study, seven middle school students in the Kumnarae local children's center in Jungnung-dong were selected to conduct visual information design lesson to cultivate local identity. Through the pre and post questionnaires of students and self-evaluation of students' outputs we will verify its effectiveness. First, in the results of the pre and post questionnaire, the learner 's level of local identity which are local affinity, local affection and local self - esteem increased. Second, local affinity shows the greatest increase. This class can be interpreted as the most effective in terms of local affinity, which is the first step in forming regional identity. Third, learners expanded both objective locality and subjective local identity based on data collection and empirical knowledge.

• Journal of Korea Game Society
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• v.11 no.3
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• pp.3-8
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• 2011

The learning by computer games, is in the spotlight as an effective education method for the game generation. The educational games need to provide additionally an omniscient view of the learning as an objective viewpoint for storytelling of learning. The omniscient viewpoint needs good readability in real-time, and to provide systematically overall and detailed informations of learning. In this paper, we propose the visual learning map as the omniscient view for storytelling of learning. The proposed learning map is composed of the district map, the topic map, and the progress map for the omniscient view of the learning. The proposed learning map is represented by several visual diagrams for real-time readability. The proposed learning map can apply to all the educational games which provide the game minimaps.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.179-183
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• 2009

본 연구에서는 GCM 기후변화 전망 시나리오를 이용하여 유역단위의 기후변화를 추정하였다. 원시 GCM 시나리오를 지역화 시키기 위해서 인공신경망 모형을 사용하였다. GCM에서 모의되는 강수플럭스, 해면기압, 지표면 근처에서의 일 평균온도, 지표면으로부터 발생하는 잠열플럭스 등과 같은 22개의 변수는 인공신경망의 잠재적 예측인자로 사용되었으며, AWS에서 관측된 강수량과 온도는 예측변수로 사용되었다. 원시 GCM 데이터는 CCCma(Canadian Centre for Climate Modeling and Analysis)에서 제공되는 CGCM3.1/T63 20C3M 시나리오를 사용하였으며, 인공신경망 학습과정에서 사용된 기준시나리오(reference scenario)자료의 기간은 1997년부터 2000년까지의 데이터를 사용하였다. 인공신경망을 학습을 통하여 결정된 각 층사이의 가중치를 이용하여 이산화탄소 배출농도를 가정하여 생성된 CGCM3.1/T63 SRES B1 기후변화시나리오(project scenario)를 인공신경망의 입력값으로 하여 미래의 기온과 강수변화를 전망하였다. 신경망의 학습효과를 높이기 위하여 기온과 강수에 대한 평균 및 누적기간을 각각 일단위와 월단위로 설정하였다. 본 연구에서 사용된 인공신경망은 3층 퍼셉트론(다층 퍼셉트론)을 사용하였으며, 학습방법으로는 역전파알고리즘(back-propagation algorithm)을 이용하였다. 민감도분석을 통하여 선택된 예측인자는 소양강댐유역(1011, 1012소유역)에서의 인공신경망 예측인자로 활용되었으며, 2001년부터 2100년까지의 일 평균온도와 일 강수량의 변화경향을 추정하였다. 1011유역, 1012유역에서는 여름철의 온도변화경향이 겨울철에 비하여 높게 나타났다. 일 평균온도의 통계분석 결과 평균예측오차가 가장 적게 나타나는 지역은 1001유역으로 -0.08로 평균예측오차가 가장 적게 나타났으며, 인공신경망기법을 이용하여 스케일 상세화된 일 평균온도와 관측된 일 평균온도가 얼마나 잘 일치하는지를 확인할 수 있는 1012유역에서 CORR이 0.74로 가장 높게 나타났다.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.4
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• pp.482-486
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• 2010

Recently, gesture recognition methods based on dynamic time warping (DTW) have been actively investigated as more mobile devices have equipped the accelerometer. DTW has no additional training step since it uses given samples as the matching templates. However, it is difficult to apply the DTW on mobile environments because of its computational complexity of matching step where the input pattern has to be compared with every templates. In order to address the problem, this paper proposes a gesture recognition method based on DTW that uses localized subset of templates. Here, the k-means clustering algorithm is used to divide each class into subclasses in which the most centered sample in each subclass is employed as the localized template. It increases the recognition speed by reducing the number of matches while it minimizes the errors by preserving the diversities of the training patterns. Experimental results showed that the proposed method was about five times faster than the DTW with all training samples, and more stable than the randomly selected templates.