문헌분석을 통한 그린스마트 미래학교의 패턴 랭귀지 초안 추출 - 초등학교의 스마트 일반교실을 기준으로 -A Study on Pattern Language Extraction of Green Smart Future School through Literature Analysis - Based on the Smart Class in Elementary School -
- Other Titles
- A Study on Pattern Language Extraction of Green Smart Future School through Literature Analysis - Based on the Smart Class in Elementary School -
- Authors
- 유준아; 전지현; 김영현; 황연숙
- Issue Date
- May-2022
- Publisher
- 한국실내디자인학회
- Keywords
- 그린스마트 미래학교; 뉴딜정책; 패턴 랭귀지; 초등학교; 스마트 일반교실; Green Smart Future School; The New Deal Policy; Pattern Language; Elementary School; Smart Class
- Citation
- 한국실내디자인학회 2022 춘계학술발표대회 논문집, pp.323 - 327
- Indexed
- OTHER
- Journal Title
- 한국실내디자인학회 2022 춘계학술발표대회 논문집
- Start Page
- 323
- End Page
- 327
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/189040
- Abstract
- The purpose of this study is to present patterns for the development of a pattern language for a smart classroom. For this, we analyzed 8 documents that suggest guidelines for smart classrooms. The study was conducted through literature analysis and a series of draft pattern extraction processes. First, the guidelines for smart general classrooms were collected and common elements covered in three or more literatures were derived. Next, the patterns were extracted through the derived elements. In this process, patterns selected from the 253 original patterns suggested by Alexander were used or transformed, and new patterns were added. Next, the results of analyzing the characteristics of the patterns are as follows. The characteristics of the draft pattern of the smart general classroom are described in four categories: accessibility, scalability, flexibility, and efficiency. In addition, we presented the patterns by classifying them into four categories: spatial arrangement, spatial characteristics, spatial concept, and spatial composition. It is expected that the pattern presented in this study can be used as a reference for the design of smart classrooms in the future. A further study is needed to verify the validity of the pattern.
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