• Title/Summary/Keyword: 학습공간유형

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Space Design for Enhancing Learning Ability with Children's Character Type - Through Analyzed Enneagram Tool - (어린이 성격유형별 학습능력 향상을 위한 공간디자인 구축 방안 - 에니어그램 성격 특성 분석을 통하여 -)

  • Kim, Kook-Sun
    • Journal of the Korea Furniture Society
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    • v.24 no.1
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    • pp.42-50
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    • 2013
  • The objective of this study is to explore basic type of character of humans and to suggest a design method of establishing a spatial construction environment for developing effective learning ability based on such type of character. As a range of research, spatial formative language was deduced and space design strategy for the children was suggested through an analysis of spatial requirements by exploring connectivity depending on features of 9 types of character through Enneagram. As a method of research, a process of suggesting a concrete method after defining an element of spatial construction and deducing a formative language for developing and strengthening effective learning ability for each type of character. As a result of research, the methods of children space design strategy for enhancing learning ability for leadership in a future specific fields were suggested through 9 different type of character with image of case study.

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A Study on the Planning of In-Between Space Considering the Site Planning Characteristics of Elementary Schools -Focused on Newly-Built Elementary Schools in Sejong City- (초등학교 배치특성을 고려한 사이공간 계획방향에 관한 연구 -세종시 신설초등학교를 중심으로-)

  • Song, Byung-Ha
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.2
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    • pp.105-116
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    • 2018
  • This study started by examining 24 newly-built elementary schools in Sejong City with regard to their present conditions of in-between space. After categorizing the space according to its spatial composition, 5 schools were selected and analyzed in relation to the current status and frequency of use of their in-between space. Among the (other schools, the analysis gave the following results: 1) There was much higher usage of the in-between space for rest/play than for learning, which suggested that more rest/play area and apparatus should be provided. 2) Piloti areas were preferred, and a greater number of activities took place in these places than in the adjoining open areas. 3) When the in-between space was combined with a passage (as in the case of E2 and E3), a separation must be provided in order not to interfere with the rest/play activities. 4) In planning the in-between space, priority should be given to activities over landscape purposes. 5) Diverse and easy access to the space must be planned, particularly as the main entrance is not directly connected to the space. Entry at the end of an adjacent building could be a possible solution.

Analysis and Classification of In-Vehicle Activity Based on Literature Study for Interior Design of Fully Autonomous Vehicle (완전 자율주행 자동차의 실내공간 설계를 위한 문헌연구 기반의 실내행위 분석 및 유형화)

  • Kwon, Ju Yeong;Ju, Da Young
    • Journal of the HCI Society of Korea
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    • v.13 no.2
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    • pp.5-20
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    • 2018
  • The fully autonomous vehicle, which has been actively studied in a worldwide before commercialization, is expected to become a living space by securing time and space compared to existing automobile. For this reason, interior design of fully autonomous vehicle has become very important. To enhance passenger's experience and satisfaction in fully autonomous vehicle, it is necessary to design an optimized space that can support in-vehicle activities. For this purpose, efforts to analyze the passenger's in-vehicle activities should be preceded. However, there were limited studies that define space and in-Vehicle activities of fully autonomous vehicle in Korea. The purpose of this study is to suggest the guideline of the interior design of fully autonomous vehicle by analyzing and classifying the scope of activities that the passenger can perform within the vehicle. As a method of the study, literature studies on future concept cars, human lifetime behavior and consumer needs had been conducted. As a result in-vehicle activities could be applied in a fully autonomous vehicle. Four in-vehicle activities 'work', 'home life and personal care', 'relaxation' and 'conversation and hobby' had been derived through the analysis of in-vehicle activities. Based on the results, the interior design of fully autonomous vehicle guideline has been suggested. The study is significant because the result of the study can act as a basic study which considers the activities in the fully autonomous vehicle environment.

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An Analysis of Program Types for School Reading Education Included in the 100 Excellent Curriculum by Multiple Intelligences (다중지능을 활용한 100대 교육과정의 학교 독서교육 프로그램 유형 분석)

  • Lee, Kyeong-Hwa;Song, Gi-Ho
    • Journal of Korean Library and Information Science Society
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    • v.50 no.1
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    • pp.85-103
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    • 2019
  • This study aims to analyze the direction of the reading education programs based on the 2015 revised curriculum and to seek the plans for the school library and the teacher librarian to be able to contribute them. For this purpose, the types of school-based reading education programs in the report of 100 excellent school curriculum in 2016, which was first applied by the amended curriculum were analyzed through multiple intelligences. Upon the analysis results, the reading education programs in the schools showed to be operated with interpersonal Intelligence. Community-aligned reading was the most frequently operated in the primary schools while student reading club activities were the most common in the middle and high schools. In case of reading education program related to linguistic intelligence, the most commonly operated ways were reading books, writing with literatures, and writing book report, in primary, middle, and high schools, respectively. In case of reading education program related to spatial intelligence, media production type showed the most commonly operated in all types of schools. However, there was no reading program related to naturalist intelligence. Based on these analysis results, the plans to contribute the activation of reading education programs by school libraries under the 2015 amended curriculum were suggested in the aspects of development of connection programs with teachers, students and parents as the center of education community, installation and operation of maker spaces and enhancement of program management and inquiry-based learning competency of teacher librarians.

Predicting Concentrations of Soil Pollutants and Mapping Using Machine Learning Algorithms (기계학습을 통한 토양오염물질 농도 예측 및 분포 매핑)

  • Kang, Hyewon;Park, Sang Jin;Lee, Dong Kun
    • Journal of Environmental Impact Assessment
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    • v.31 no.4
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    • pp.214-225
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    • 2022
  • This study emphasized the soil of environmental impact assessment to devise measures to minimize the negative impact of project implementation on the environment. As a series of efforts for impact assessment procedures, a national inventory-based database was established for urban development projects, and three machine learning model performance evaluation as well as soil pollutant concentration distribution mapping were conducted. Here, nine soil pollutants were mapped to the metropolitan area of South Korea using the Random Forest model, which showed the best performance. The results of this study found that concentrations of Zn, F, and Cd were relatively concerned in Seoul, where urbanization is the most active. In addition, in the case of Hg and Cr6+, concentrations were detected below the standard, which was derived from a lack of pollutants such as industrial and industrial complexes that affect contents of heavy metals. A significant correlation between land cover and pollutants was inferred through the spatial distribution mapping of soil pollutants. Through this, it is expected that efficient soil management measures for minimizing soil pollution and planning decisions regarding the location of the project site can be established.

Reconsidering the Concept, Typology and Theories of Agglomeration and Cluster in Economic Geography (집적과 클러스터: 개념과 유형 그리고 관련 이론에 대한 비판적 검토)

  • Lee, Jong-Ho;Lee, Chul-Woo
    • Journal of the Economic Geographical Society of Korea
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    • v.11 no.3
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    • pp.302-318
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    • 2008
  • As socio-economic paradigms have been moving towards the knowledge-based capitalism from the industrial capitalism, it is obvious that research on industrial agglomeration and regional innovation has been explosively increased. However, there is a contradictory tendency that the terms and concepts, which are related to industrial agglomeration, have became less clear and more fuzzy. In this sense, this paper attempts to tackle and reconsider the concept, typology and theories of agglomeration and (or) cluster in economic geography. The main claims are as follows. Firstly, the terms and concepts related to industrial agglomeration and cluster need to be clear. It seems to be that cluster is received as an umbrella concept of agglomerations all-embracing the varieties of a geographical concentration of industry. However, the authors claim that the cluster concept should be part of the diverse types of industrial agglomeration. Secondly, the tendency of a less clear definition on agglomeration and cluster could make it difficult to identify the types of agglomeration being in the forms of diversity. Such a tendency would result in a misguided understanding and interpretation of a typology of agglomeration. Finally and most importantly, as perspectives or theories that are associated with industrial agglomeration and cluster show increasingly a propensity of convergence, it is problematic that related theories and perspectives lose their own identity and distinctiveness.

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Evaluation of Applicability of Sea Ice Monitoring Using Random Forest Model Based on GOCI-II Images: A Study of Liaodong Bay 2021-2022 (GOCI-II 영상 기반 Random Forest 모델을 이용한 해빙 모니터링 적용 가능성 평가: 2021-2022년 랴오둥만을 대상으로)

  • Jinyeong Kim;Soyeong Jang;Jaeyeop Kwon;Tae-Ho Kim
    • Korean Journal of Remote Sensing
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    • v.39 no.6_2
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    • pp.1651-1669
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    • 2023
  • Sea ice currently covers approximately 7% of the world's ocean area, primarily concentrated in polar and high-altitude regions, subject to seasonal and annual variations. It is very important to analyze the area and type classification of sea ice through time series monitoring because sea ice is formed in various types on a large spatial scale, and oil and gas exploration and other marine activities are rapidly increasing. Currently, research on the type and area of sea ice is being conducted based on high-resolution satellite images and field measurement data, but there is a limit to sea ice monitoring by acquiring field measurement data. High-resolution optical satellite images can visually detect and identify types of sea ice in a wide range and can compensate for gaps in sea ice monitoring using Geostationary Ocean Color Imager-II (GOCI-II), an ocean satellite with short time resolution. This study tried to find out the possibility of utilizing sea ice monitoring by training a rule-based machine learning model based on learning data produced using high-resolution optical satellite images and performing detection on GOCI-II images. Learning materials were extracted from Liaodong Bay in the Bohai Sea from 2021 to 2022, and a Random Forest (RF) model using GOCI-II was constructed to compare qualitative and quantitative with sea ice areas obtained from existing normalized difference snow index (NDSI) based and high-resolution satellite images. Unlike NDSI index-based results, which underestimated the sea ice area, this study detected relatively detailed sea ice areas and confirmed that sea ice can be classified by type, enabling sea ice monitoring. If the accuracy of the detection model is improved through the construction of continuous learning materials and influencing factors on sea ice formation in the future, it is expected that it can be used in the field of sea ice monitoring in high-altitude ocean areas.

The Design Improvement Plan of Seoul Forest Visitor Centers for Little Children (서울시 유아숲체험장의 공간 개선 방안)

  • Kim, Minjung;Jeong, Wookju
    • Journal of the Korean Institute of Landscape Architecture
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    • v.49 no.6
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    • pp.49-63
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    • 2021
  • The Forest Visitor Centers for Little Children who means preschoolers is an educational facility that achieves holistic growth by experiencing forests, and it should not be completed by installing specific facilities in the forest environment, but should be a space where preschoolers can play freely in the forest environment themselves. This study comprehensively evaluated the current status of Seoul Forest Visitor Centers for Little Children and suggested space improvement measures to enhance the effectiveness of forest experience. Through the theoretical review, seven spatial elements that enhance the effect of forest experience and six areas composing outdoor play areas were derived to prepare an analysis table for current status evaluation, and field survey studies were conducted on 24 centers in Seoul. Through expert interviews, the physical status was examined from the perspective of childhood education and the experiences of the users were summarized. As a result of the study, the Seoul Forest Visitor Center for Little Children is classified into six types according to the location characteristics and spatial structure, and has the characteristics of each type. The effectiveness of forest experience can be enhanced by identifying and revealing the environmental strengths of individual centers. In the case of outdoor experience learning zones, the proportion of exercise play areas was very large. By evenly organizing the forest experience space for each area, it will be possible to provide more diverse experiences to preschoolers. However, the status of uniform facility-oriented cannot be viewed as a fragmentary factor that lowers the effect of forest experience. The key to increasing the effect of forest experience by inducing creative activities is the spatial composition that considers the surrounding natural environment. Facilities should be a medium to help preschoolers' interest move into the forest. This study prepared data to understand the average physical status of the Seoul Forest Visitor Center for Little Children and suggested space improvement measures to increase the effectiveness of forest experience. This can be used as basic data for research to improve the quality level of the Seoul Forest Visitor Center for Little Children about 10 years after the project was implemented.

A Study on the Operational Status and Improvement Plan of Untact Classes - Focused on Departments related to Tax & Accounting (비대면(Untact) 수업의 운영 실태 및 개선 방안에 관한 연구 - 세무회계 관련 학과를 중심으로)

  • Lee, Tae-Jung;Yun, Woo-Young
    • Journal of Digital Convergence
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    • v.18 no.11
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    • pp.177-185
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    • 2020
  • The spread of COVID-19 has caused confusion in the education field as it has led to the implementation of untact classes without preparation. The purpose of study is to find ways to effectively design and operate untact classes for tax accounting department. The survey and FGI were conducted on professors and learners. As a result, video classes through lecture shooting and PPT-based video conversion were the most utilized. Students prefer these two types most, because they can learn repeatedly regardless of time and space. The improvement measures are as follows. For video classes that reflect various characteristics of the subject, supporting for equipment and human resources is needed, and for professors, teaching support for untact classes and education on equipment manipulation is needed. Continuous Quality Improvement for untact classes should be overhauled. In the future, in-depth research is needed to various majors, this will help find ways of untact classes suitable for the characteristics of the subjects.

A Study on Metaverse Utilization and Introduction Strategies in College Education: Based on Step-by-step Metaverse Introduction Framework (대학 교육의 메타버스 활용 현황 및 도입 전략에 대한 연구: 단계별 메타버스 도입 프레임워크 개발을 바탕으로)

  • Son, Young Jin;Park, Minjung;Chai, Sangmi
    • Knowledge Management Research
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    • v.24 no.1
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    • pp.1-29
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    • 2023
  • The COVID-19 pandemic has accelerated digital transformation across all industries and daily life. Edutech is spreading in the education field, also bringing changes in university education. Non-face-to-face online-only classes at universities have spread after the COVID-19 pandemic physical distancing started. Online-only or real-time online classes showed diverse educational imitations. 'Metaverse' started to attract attention as a learning space and community activity support platform that may solve the limitations of online education and communication. It is time to prepare an introduction strategy for the actual application of education using metaverse. This study, first, by examining previous studies and cases of metaverse application, and second, establishing a metaverse introduction framework based on the technology lifecycle model and the innovation diffusion theory. Finally, we provide an introduction strategy in steps, a specialized introduction plan according to the main users is established and presented as a scenario. We expect that this study will provide the theoretical background of the new technology introduction and the spread of metaverse research. Also, we present an efficient introduction strategy, the basis for a service model, and a practical basis for the university's value-added strategy.