• Title/Summary/Keyword: Learning Spaces

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A Study on the Architectural Planning of Formal and Informal Learning Spaces at the College of Medicine (의과대학의 학습 및 학습공유공간에 관한 건축계획 연구)

  • Choi, Kwangseok
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.27 no.3
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    • pp.7-16
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    • 2021
  • Purpose: This study identified the planning trends for formal and informal learning spaces in the college of medicine through literature reviews. And then, by the analysis of the actual condition of existing domestic facilities, It was organized the architectural planning baseline data and future directions for the formal and informal learning spaces in the college of medicine. Methods: This study was conducted using literature reviews on the existing medical education method and learning space planning. Subsequently on-site surveys and questionnaires were conducted at existing facilities. Results: In the past, learning space of the college of medicine was considered only a formal learning space such lecture rooms, labs. But lately it has been turned into a total learning concept that embraces shared learning spaces such as libraries, student spaces, amenities and common spaces such as lobbies and hallways. ① Formal learning spaces are composed of teaching and practice areas. Since It is the basic functions that comprise the college of medicine, this paper conducted a functional analysis based on the current operating system of the College of Medicine and provided baseline data on architectural planning such as function, layout, zoning, and detailed planning. ② The informal learning sharing space was divided into a library area and a student well-being and convenience area to analyze the real conditions of domestic medical college. In addition, by comparing the trends and differences in foreign medical colleges identified by literature analysis, this paper summarizes the need to revitalize informal learning spaces and their integration into formal learning spaces, architectural planning considerations, etc. Implications: the evolution of the learning method and the flexibility of the learning space bring about changes in the learning space.

User Evaluation of University Learning Spaces (대학의 학습공간에 대한 사용자 인식 조사)

  • Koo, Sang Hoe;Lee, Hyun-Hee
    • Journal of the Korean Institute of Educational Facilities
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    • v.26 no.3
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    • pp.33-41
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    • 2019
  • As the information age matures, the learning style of youth is changing rapidly. Students study at a variety of places such as cafe or lobbies utilizing various digital learning devices. Along with the place changes, learning methods are also changing. Student-centered learning methods such as smart learning, collaborative learning, and activity-based learning are increasingly being utilized instead of the traditional instructor-centered learning in which knowledge is unilaterally delivered. Accordingly, many universities are remodeling central libraries, and they are also transforming lobby spaces of the college buildings into simple but useful learning spaces. In this study, we analyze the characteristics of learning spaces in universities from the standpoint of the students. According to the analysis, overall satisfaction is high in terms of comfortable physical learning environments such as Wi-Fi, furniture, lighting, etc. But the spaces are still optimized for individual and intensive learning. There seems to be a lack of effort to support collaborative learning or activity-based learning. This observation is confirmed by the characteristics of the central library, and it is considered that the reason why the college buildings are preferred by students is that college buildings are more suitable for collaborative or activity-based learning than libraries.

An Analysis of Example Spaces Constructed by Students in Learning the Area of a Trapezoid based on Dienes' Theory of Learning Mathematics (Dienes의 수학학습이론에 따른 사다리꼴의 넓이 학습에서 학생들이 구성한 예 공간 분석)

  • Oh, Min Young;Kim, Nam Gyun
    • Education of Primary School Mathematics
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    • v.24 no.4
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    • pp.247-264
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    • 2021
  • The area of a trapezoid is an important concept to develop mathematical thinking and competency, but many students tend to understand the formula for the area of a trapezoid instrumentally. A clue to solving these problems could be found in Dienes' theory of learning mathematics and Watson and Mason' concept of example spaces. The purpose of this study is to obtain implications for the teaching and learning of the area of the trapezoid. This study analyzed the example spaces constructed by students in learning the area of a trapezoid based on Dienes' theory of learning mathematics. As a result of the analysis, the example spaces for each stage of math learning constructed by the students were a trapezoidal variation example spaces in the play stage, a common representation example spaces in the comparison-representation stage, and a trapezoidal area formula example spaces in the symbolization-formalization stage. The type, generation, extent, and relevance of examples constituting example spaces were analyzed, and the structure of the example spaces was presented as a map. This study also analyzed general examples, special examples, conventional examples of example spaces, and discussed how to utilize examples and example spaces in teaching and learning the area of a trapezoid. Through this study, it was found that it is appropriate to apply Dienes' theory of learning mathematics to learning the are of a trapezoid, and this study can be a model for learning the area of the trapezoid.

Analysis of University Students' Needs for Developing Smart Learning Spaces (스마트 학습공간 발전을 위한 대학생들의 요구 분석)

  • Lee, Sang-Eun;Park, Taejung;Han, Hyeong Jong
    • Journal of the Korean Institute of Educational Facilities
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    • v.27 no.5
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    • pp.13-23
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    • 2020
  • From the perspective of smart learning space, this study aims to take a look at the learning space of college students who do online remote learning in the COVID-19 era, and analyze their demands on what smart learning space they want. Furthermore, this study intends to provide valuable implications for the technology-enhanced learning environments by deriving design elements that make up the university's smart learning space. To achieve these goals, we conducted a review of prior studies, interviews with experts, and case analysis on smart learning spaces of major Korean and foreign universities, which are considered as innovative cases. Additionally, in order to confirm the difference between the importance level recognized by the college students and the current performance level for nine components of technology and for ten components of spaces and facilities, a paired t-test and an Importance-Performance Analysis (IPA) were carried out. According to the result of IPA analysis, Internet of Things from the technological aspects, a desk that can supply power and a flexible learning space from the aspects of spaces and facilities were found to have much lower performance than the importance. This result is meaningful in suggesting key design components for smart campus development in the post-COVID-19 world.

Generating 3D Digital Twins of Real Indoor Spaces based on Real-World Point Cloud Data

  • Wonseop Shin;Jaeseok Yoo;Bumsoo Kim;Yonghoon Jung;Muhammad Sajjad;Youngsup Park;Sanghyun Seo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.8
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    • pp.2381-2398
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    • 2024
  • The construction of virtual indoor spaces is crucial for the development of metaverses, virtual production, and other 3D content domains. Traditional methods for creating these spaces are often cost-prohibitive and labor-intensive. To address these challenges, we present a pipeline for generating digital twins of real indoor environments from RGB-D camera-scanned data. Our pipeline synergizes space structure estimation, 3D object detection, and the inpainting of missing areas, utilizing deep learning technologies to automate the creation process. Specifically, we apply deep learning models for object recognition and area inpainting, significantly enhancing the accuracy and efficiency of virtual space construction. Our approach minimizes manual labor and reduces costs, paving the way for the creation of metaverse spaces that closely mimic real-world environments. Experimental results demonstrate the effectiveness of our deep learning applications in overcoming traditional obstacles in digital twin creation, offering high-fidelity digital replicas of indoor spaces. This advancement opens for immersive and realistic virtual content creation, showcasing the potential of deep learning in the field of virtual space construction.

Dynamic Action Space Handling Method for Reinforcement Learning Models

  • Woo, Sangchul;Sung, Yunsick
    • Journal of Information Processing Systems
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    • v.16 no.5
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    • pp.1223-1230
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    • 2020
  • Recently, extensive studies have been conducted to apply deep learning to reinforcement learning to solve the state-space problem. If the state-space problem was solved, reinforcement learning would become applicable in various fields. For example, users can utilize dance-tutorial systems to learn how to dance by watching and imitating a virtual instructor. The instructor can perform the optimal dance to the music, to which reinforcement learning is applied. In this study, we propose a method of reinforcement learning in which the action space is dynamically adjusted. Because actions that are not performed or are unlikely to be optimal are not learned, and the state space is not allocated, the learning time can be shortened, and the state space can be reduced. In an experiment, the proposed method shows results similar to those of traditional Q-learning even when the state space of the proposed method is reduced to approximately 0.33% of that of Q-learning. Consequently, the proposed method reduces the cost and time required for learning. Traditional Q-learning requires 6 million state spaces for learning 100,000 times. In contrast, the proposed method requires only 20,000 state spaces. A higher winning rate can be achieved in a shorter period of time by retrieving 20,000 state spaces instead of 6 million.

A Study on the Planning Characteristics of Contemporary Japanese Elementary Schools (일본 초등학교 교사동 내외부의 영역별 계획 특성에 관한 연구 -1990년대 이후 최근 사례를 중심으로)

  • Lee, Jeong-Woo
    • Journal of the Korean Institute of Educational Facilities
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    • v.11 no.5
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    • pp.24-34
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    • 2004
  • The purpose of this study is to analyze the planning characteristics of contemporary Japanese elementary schools. Fifteen schools, that have new planning trends or design ideas have been selected and analyzed. The planning characteristics of schools identified by plan analyses are summarized as follows. First, space programs of schools are diverse, especially in support facilities, gymnasiums and auditoriums. These spaces can be used by community members. So it is assumed that needs of communities are reflected in space programs of schools. Second, various types of unit learning spaces consisting of multipurpose spaces and classrooms embodied in case schools tell the differentiation in the structure of unit learning spaces. Third, grouped with gymnasiums or auditoriums, special instructional spaces constitute community zones where school facilities are open to public. Fourth, replacing the monotonous circulation systems by corridors, multipurpose hall-type space organization systems make surrounding spaces more activated and complex and the multipurpose hall itself becomes the central part of schools. Finally, outdoor spaces are designed to have convenient access and approach zones to school precincts are linked with city street.

Automatic space type classification of architectural BIM models using Graph Convolutional Networks

  • Yu, Youngsu;Lee, Wonbok;Kim, Sihyun;Jeon, Haein;Koo, Bonsang
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.752-759
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    • 2022
  • The instantiation of spaces as a discrete entity allows users to utilize BIM models in a wide range of analyses. However, in practice, their utility has been limited as spaces are erroneously entered due to human error and often omitted entirely. Recent studies attempted to automate space allocation using artificial intelligence approaches. However, there has been limited success as most studies focused solely on the use of geometric features to distinguish spaces. In this study, in addition to geometric features, semantic relations between spaces and elements were modeled and used to improve space classification in BIM models. Graph Convolutional Networks (GCN), a deep learning algorithm specifically tailored for learning in graphs, was deployed to classify spaces via a similarity graph that represents the relationships between spaces and their surrounding elements. Results confirmed that accuracy (ACC) was +0.08 higher than the baseline model in which only geometric information was used. Most notably, GCN was able to correctly distinguish spaces with no apparent difference in geometry by discriminating the specific elements that were provided by the similarity graph.

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An Analysis on the Color Characteristics for Improving Childhood Children's Learning Spaces and Furniture Design (유아의 학습공간 및 가구 디자인 개선을 위한 색채특성 분석)

  • Kim, Ja Kyung;Moon, Sun Wook
    • Journal of the Korea Furniture Society
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    • v.28 no.4
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    • pp.294-304
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    • 2017
  • The purpose of this study is to analyse and derive the color characteristics of childhood children's learning spaces and furniture for improving the color design of those and to present the direction of design and to build up the DB. The study covers products from domestic and overseas infant furniture manufacturers and 11 preschool learning rooms. The study method uses the collected furniture and spatial images to derive a palette of colors and compare color characteristics. The analysis results show that, the domestic infant furniture tend to use a variety of colors with pale tone or use consistent hard wood furniture according to the requirements of adult taste and marketability. Also, it attempts to create a very negative color scheme, but it looks like disorganized, and there is not much color design integrated with the architecture. Thus, color designs ensure that the ordering elements of the color scheme are clearly recognized by applying preferred color tones of childhood, like vivid and bright tone with high chroma and middle or hight Brightness value. Lastly, it should establish guidelines for specific palettes and color scheme, which can be utilized in the design of childhood children's learning spaces and furniture.

Emotional Evaluation of Adolescents for Learning Spaces Design in Apartment Complex Community Facilities (공동주택 커뮤니티시설 내 학습공간 디자인을 위한 청소년 감성평가)

  • Hwang, Yeon-Sook;Jung, Hyun-Won;Son, Yeo-Rym
    • Korean Institute of Interior Design Journal
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    • v.22 no.4
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    • pp.113-120
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    • 2013
  • This study aims to determine adolescents' emotional response and preferences for varying interior designs of learning spaces available at community facilities in apartment across Seoul. In particular, the subjects have been fragmented by gender and age for comparative analysis of emotional responses across different demographics of adolescents. A survey on the preferred designs of learning spaces in community facilities revealed that 'elegant,' 'cheerful,' and 'temperate' are the three main emotional words selected for image tool development. Emotional assessment verified the validity of these terms. Between the two genders, adolescent males preferred 'temperate' images more while adolescent females preferred 'cheerful.' In terms of the design of learning space, adolescent females deemed the interior atmosphere and area space to be the most important factors, while adolescent males pointed to the color of furniture and lighting to be the most important. Such results imply that there is a clear difference of emotional response between adolescent males and females. The results also imply that different atmospheres and design priorities must be considered when designing gender-specific spaces.