• Title/Summary/Keyword: ecological learning

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Analyses of Middle School Students' Thoughts Causing Common Mistakes on Animal Classification (중학생의 동물 분류에서 오류 원인이 되는 사고 내용 분석)

  • Gim, Wn Hwa;Hwang, Ui Wook;Kim, Yong-Jin
    • Journal of Science Education
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    • v.36 no.1
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    • pp.153-165
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    • 2012
  • This study investigated the frequent mistakes and the causes of the alternative conceptions in the animal classification by using the questionnaire and interview with the middle school students (N=300). As results, some students have difficulties classifying suggested animals into vertebrates or invertebrates : snakes (31.7%), shrimps (28.3%), turtles (25.6%), frogs (24.7%), and starfish (10.7%) in order of precedence. These errors seemed to be caused by intuitive thinking over characteristics of physical motions and appearance of suggested animals, wrong inference from comparing to features of familiar animals and the lack of observation experience of the vertebrate backbone. Furthermore, the results showed that relatively many students made a mistake classifying subgroup members of vertebrates such as classifying salamanders into the class Reptilia (45.3%) and turtles into Amphibia (40.3%). It is likely that those errors are affected by ambiguousness of classification terminology (e.g. the term of Amphibia) and weak ability in relating the physiological and ecological feature to standard of classification feature. In addition, sociocultural factors could influence animal classification as 'bat in birds', 'whale in fish, and 'penguin in mammals'. The present study implied that teaching and learning animal classification may require an appropriate guide focused on activities to explore major characteristics used for the animal classification standard through providing more chances of animal observation rather than the cramming method of learning induced by technical memorizing.

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A Study on Pre-evaluation of Tree Species Classification Possibility of CAS500-4 Using RapidEye Satellite Imageries (농림위성 활용 수종분류 가능성 평가를 위한 래피드아이 영상 기반 시험 분석)

  • Kwon, Soo-Kyung;Kim, Kyoung-Min;Lim, Joongbin
    • Korean Journal of Remote Sensing
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    • v.37 no.2
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    • pp.291-304
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    • 2021
  • Updating a forest type map is essential for sustainable forest resource management and monitoring to cope with climate change and various environmental problems. According to the necessity of efficient and wide-area forestry remote sensing, CAS500-4 (Compact Advanced Satellite 500-4; The agriculture and forestry satellite) project has been confirmed and scheduled for launch in 2023. Before launching and utilizing CAS500-4, this study aimed to pre-evaluation the possibility of satellite-based tree species classification using RapidEye, which has similar specifications to the CAS500-4. In this study, the study area was the Chuncheon forest management complex, Gangwon-do. The spectral information was extracted from the growing season image. And the GLCM texture information was derived from the growing and non-growing seasons NIR bands. Both information were used to classification with random forest machine learning method. In this study, tree species were classified into nine classes to the coniferous tree (Korean red pine, Korean pine, Japanese larch), broad-leaved trees (Mongolian oak, Oriental cork oak, East Asian white birch, Korean Castanea, and other broad-leaved trees), and mixed forest. Finally, the classification accuracy was calculated by comparing the forest type map and classification results. As a result, the accuracy was 39.41% when only spectral information was used and 69.29% when both spectral information and texture information was used. For future study, the applicability of the CAS500-4 will be improved by substituting additional variables that more effectively reflect vegetation's ecological characteristics.

Construction Method of ECVAM using Land Cover Map and KOMPSAT-3A Image (토지피복지도와 KOMPSAT-3A위성영상을 활용한 환경성평가지도의 구축)

  • Kwon, Hee Sung;Song, Ah Ram;Jung, Se Jung;Lee, Won Hee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.40 no.5
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    • pp.367-380
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    • 2022
  • In this study, the periodic and simplified update and production way of the ECVAM (Environmental Conservation Value Assessment Map) was presented through the classification of environmental values using KOMPSAT-3A satellite imagery and land cover map. ECVAM is a map that evaluates the environmental value of the country in five stages based on 62 legal evaluation items and 8 environmental and ecological evaluation items, and is provided on two scales: 1:25000 and 1:5000. However, the 1:5000 scale environmental assessment map is being produced and serviced with a slow renewal cycle of one year due to various constraints such as the absence of reference materials and different production years. Therefore, in this study, one of the deep learning techniques, KOMPSAT-3A satellite image, SI (Spectral Indices), and land cover map were used to conduct this study to confirm the possibility of establishing an environmental assessment map. As a result, the accuracy was calculated to be 87.25% and 85.88%, respectively. Through the results of the study, it was possible to confirm the possibility of constructing an environmental assessment map using satellite imagery, optical index, and land cover classification.

Applicability Evaluation of Deep Learning-Based Object Detection for Coastal Debris Monitoring: A Comparative Study of YOLOv8 and RT-DETR (해안쓰레기 탐지 및 모니터링에 대한 딥러닝 기반 객체 탐지 기술의 적용성 평가: YOLOv8과 RT-DETR을 중심으로)

  • Suho Bak;Heung-Min Kim;Youngmin Kim;Inji Lee;Miso Park;Seungyeol Oh;Tak-Young Kim;Seon Woong Jang
    • Korean Journal of Remote Sensing
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    • v.39 no.6_1
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    • pp.1195-1210
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    • 2023
  • Coastal debris has emerged as a salient issue due to its adverse effects on coastal aesthetics, ecological systems, and human health. In pursuit of effective countermeasures, the present study delineated the construction of a specialized image dataset for coastal debris detection and embarked on a comparative analysis between two paramount real-time object detection algorithms, YOLOv8 and RT-DETR. Rigorous assessments of robustness under multifarious conditions were instituted, subjecting the models to assorted distortion paradigms. YOLOv8 manifested a detection accuracy with a mean Average Precision (mAP) value ranging from 0.927 to 0.945 and an operational speed between 65 and 135 Frames Per Second (FPS). Conversely, RT-DETR yielded an mAP value bracket of 0.917 to 0.918 with a detection velocity spanning 40 to 53 FPS. While RT-DETR exhibited enhanced robustness against color distortions, YOLOv8 surpassed resilience under other evaluative criteria. The implications derived from this investigation are poised to furnish pivotal directives for algorithmic selection in the practical deployment of marine debris monitoring systems.

Delineating and Defining School-Based Arts Therapy (예술치료교육의 개념 정립과 정의)

  • Chong, Hyun Ju
    • Journal of Music and Human Behavior
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    • v.5 no.2
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    • pp.1-15
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    • 2008
  • Arts Therapy Education is an area under major arts therapy field which focuses on the children in school setting who has emotional, behavioral problem, and the need of it has been increasing as for after-school programs. The study purports to delineate arts therapy education by identifying the elements that differentiate from the major arts therapy approaches, respectively. Arts therapy education is an integrated approach which focuses on primarily alleviating children's emotional problem through therapeutic experiences of arts, and then secondarily helping them to actualize their potentials in learning and achieve educational outcomes. It is also examined that arts therapists working in school setting who need to acquire knowledge in education related theories and further be able to work with emotional, psychological issues from ecological factors. Also it is needed to seek efficient strategies to promote professionality of arts therapy education.

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The Study on the Management and Application through Analysis of Actual Condition of Palustrine Wetland in Rural Area (농촌마을 소택형습지 실태 분석을 통한 관리 및 활용방안 연구)

  • Kang, Bang-Hun;Son, Jin-Kwan;Kim, Mi-Heui;Kim, Nam-Choon
    • Journal of Korean Society of Rural Planning
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    • v.16 no.3
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    • pp.103-115
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    • 2010
  • This study was accompanied to develop the management and application plans as resources for rural tourism through the analysis of distribution characteristics, inhabitants' practical use, need item for management and application, and aesthetic/recreation function of Palustrine wetland in rural area. The 2.3 Palustrine wetland per farm village were located, and 77.5% of total wetland was used by agricultural water, landscape, rural tourism The management and water quality were steadily getting better in used wetland than in unused wetland. Also, 91.8% of respondents answered that there is a practical use plan afterward, and much preferred the mode of ecotourism through restoration of ecological wetland. As the results from the appropriateness evaluation of management and application in used wetland for ecotourism, improvement item was required in observation deck, entrance lane, guidance facilities etc. And, insufficient result was deduced in appropriateness of operation program and special learning course, and in participation of inhabitants and experts. The result of evaluation of the aesthetic and recreation functions generally appeared high, but the need improvement item was required in artificial water wall and plantation base that deteriorate biological diversity. These results will be used to data for conservation, management and practical use of wetland, an important natural resource in farm village, which are confronted in crisis of land reclamation by use reduction of use and false management.

A Study on Recognition of Teachers, Students and PTA about the Education for Sustainable Development(ESD) in Japan (일본에서의 지속가능 발전교육(ESD)에 관한 교사, 대학생 및 학부모의 인식에 과한 연구)

  • Yoo, Young-Eok
    • Hwankyungkyoyuk
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    • v.23 no.3
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    • pp.115-125
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    • 2010
  • This study conducted a survey on recognition of teachers, students, and Parent Teacher Association(PTA) for the Education for Sustainable Development from April to October, 2008. It confirmed a couple of facts, which were summarized as follows; First, among eight educational areas including Environmental Education, Energy Education, Gender Education, World Heritage Education, Multi-cultural Coexistence Education, Peace Education, Education for human rights, and Education for international understanding that UNESCO had offered, this study showed that the 'Environmental Education' is a relatively important area comparing with others. Second, 54.4% of the respondents have agree with the need of the education for sustainable development in the middle school and the high school, and 54.1% of them showed their willingness to participate in the program. Third, because 49.2% of the respondents chose 'important' on the question of 'how important the field education and the experience education are', it looked like most of them agreed with the importance of the field education and the experience education. Fourth, because 61.1% of the responded teachers chose 'need' on the question of 'if it needs relationship with other studies', it looked like most of them agreed with the necessity of relationship with other studies. Fifth, 62.5% of the respondents chose 'no' on the question of 'if they conduct the education for sustainable development Even if some wanted the education for sustainable development, most of them would not do it in the regular curriculum, but in the special activity class or teacher's discretional time. Sixth, most respondents indicated the teacher's class burden and the teacher's lack of knowledge as the problem if the education for sustainable development would be conducted. This result implied that in order to vitalize the education for sustainable development, the teacher's class burden should be reduced and the teacher train program is necessary. Finally, urgent requested studies could improve the education for sustainable development in communities and schools, because the result of the survey showed education, natural observation learning, and visiting ecological parks as important elements.

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Development of Artificial Neural Network Model for Predicting the Optimal Setback Application of the Heating Systems (난방시스템 최적 셋백온도 적용시점 예측을 위한 인공신경망모델 개발)

  • Baik, Yong Kyu;Yoon, younju;Moon, Jin Woo
    • KIEAE Journal
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    • v.16 no.3
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    • pp.89-94
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    • 2016
  • Purpose: This study aimed at developing an artificial neural network (ANN) model to predict the optimal start moment of the setback temperature during the normal occupied period of a building. Method: For achieving this objective, three major steps were conducted: the development of an initial ANN model, optimization of the initial model, and performance tests of the optimized model. The development and performance testing of the ANN model were conducted through numerical simulation methods using transient systems simulation (TRNSYS) and matrix laboratory (MATLAB) software. Result: The results analysis in the development and test processes revealed that the indoor temperature, outdoor temperature, and temperature difference from the setback temperature presented strong relationship with the optimal start moment of the setback temperature; thus, these variables were used as input neurons in the ANN model. The optimal values for the number of hidden layers, number of hidden neurons, learning rate, and moment were found to be 4, 9, 0.6, and 0.9, respectively, and these values were applied to the optimized ANN model. The optimized model proved its prediction accuracy with the very storing statistical correlation between the predicted values from the ANN model and the simulated values in the TRNSYS model. Thus, the optimized model showed its potential to be applied in the control algorithm.

Detecting response patterns of zooplankton to environmental parameters in shallow freshwater wetlands: discovery of the role of macrophytes as microhabitat for epiphytic zooplankton

  • Choi, Jong-Yun;Kim, Seong-Ki;Jeng, Kwang-Seuk;Joo, Gea-Jae
    • Journal of Ecology and Environment
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    • v.38 no.2
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    • pp.133-143
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    • 2015
  • Freshwater macrophytes improve the structural heterogeneity of microhabitats in water, often providing an important habitat for zooplankton. Some studies have focused on the overall influence of macrophytes on zooplankton, but the effects of macrophyte in relation to different habitat characteristics of zooplankton (e.g., epiphytic and pelagic) have not been intensively studied. We hypothesized that different habitat structures (i.e., macrophyte habitat) would strongly affect zooplankton distribution. We investigated zooplankton density and diversity, macrophyte characteristics (dry weight and species number), and environmental parameters in 40 shallow wetlands in South Korea. Patterns in the data were analyzed using a self-organizing map (SOM), which extracts information through competitive and adaptive properties. A total of 20 variables (11 environmental parameters and 9 zooplankton groups) were patterned onto the SOM. Based on a U-matrix, 3 clusters were identified from the model. Zooplankton assemblages were positively related to macrophyte characteristics (i.e., dry weight and species number). In particular, epiphytic species (i.e., epiphytic rotifers and cladocerans) exhibited a clear relationship with macrophyte characteristics, while large biomass and greater numbers of macrophyte species supported high zooplankton assemblages. Consequently, habitat heterogeneity in the macrophyte bed was recognized as an important factor to determine zooplankton distribution, particularly in epiphytic species. The results indicate that macrophytes are critical for heterogeneity in lentic freshwater ecosystems, and the inclusion of diverse plant species in wetland construction or restoration schemes is expected to generate ecologically healthy food webs.

A Study of Gameplay based on Affordance (행동유도성 기반의 게임플레이에 관한 연구)

  • Song, Seung-Keun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.170-171
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    • 2013
  • In aspect of HCI(Human Computer Interaction) gameplay is the procedure to solve the problem that gamers encounter in order to generate or discover a new rule to achieve gamers' goal. The goal of this research is to investigate the structure and understand the gameplay in aspect of affordance from ecological psychology rather than the traditional problem solving theory. This research selects 'World of Warcraft' as MMORPG(Massively Multiplayer Online Role Playing Game). Five expert gamers participated in this experiment. We record all gameplay using audio and video device. We conducted protocol analysis as qualitative method based on the verbal report and action protocol during game playing. As result, gameplay based on affordance includes selection and relation. We found that subjects selected one thing at once with attention. Moreover, we found that there were two behaviors : exploratory action and performatory action. We believe that learning, utilization, and transformation for affordance appear. The result of this research imply to suggest design guideline for game design methodology when designers develop game.

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