Buket SAMANCI, Özge TAŞPINAR, Yaşar Emir KARCI, Başak CENGİZ, Selen OZDOGAN, Dilek YILDIZ, Michael Stefan BİTTERMANN
{"title":"Erken Tasarım Aşamasında Mimarlık Öğrencilerinin Fiziksel ve Bilgisayar Destekli Modelleme Kullanım Tercihleri","authors":"Buket SAMANCI, Özge TAŞPINAR, Yaşar Emir KARCI, Başak CENGİZ, Selen OZDOGAN, Dilek YILDIZ, Michael Stefan BİTTERMANN","doi":"10.53710/jcode.1307294","DOIUrl":null,"url":null,"abstract":"Preferences for using physical mock-up modeling or computer-aided design (CAD) among architecture students in the early design phase are analyzed. The data is obtained from a questionnaire, consisting of eight multiple-choice questions and one open-ended question. The respondents are architecture students; the majority of them are still in their undergraduate studies. As quantitative analysis methods hypothesis tests based on the probability distributions known as the z-distribution, and the Chi-squared distribution were carried out. Generally, it was investigated which modeling technique is more efficient in the early design phase. Moreover, according to the age groups of respondents, the difference in the preference among mock-up and CAD is identified. Explicitly, younger students prefer CAD, while other ones prefer mock-up representation. The reasons for the difference are analyzed. Since the choice for mock-up modeling or CAD modeling can have a strong impact on the design processes of both, students and professionals, the result of the study is relevant, because it gives a hint about probable future architecture practice.","PeriodicalId":48611,"journal":{"name":"Journal of Computational Design and Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":4.8000,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Design and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53710/jcode.1307294","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Preferences for using physical mock-up modeling or computer-aided design (CAD) among architecture students in the early design phase are analyzed. The data is obtained from a questionnaire, consisting of eight multiple-choice questions and one open-ended question. The respondents are architecture students; the majority of them are still in their undergraduate studies. As quantitative analysis methods hypothesis tests based on the probability distributions known as the z-distribution, and the Chi-squared distribution were carried out. Generally, it was investigated which modeling technique is more efficient in the early design phase. Moreover, according to the age groups of respondents, the difference in the preference among mock-up and CAD is identified. Explicitly, younger students prefer CAD, while other ones prefer mock-up representation. The reasons for the difference are analyzed. Since the choice for mock-up modeling or CAD modeling can have a strong impact on the design processes of both, students and professionals, the result of the study is relevant, because it gives a hint about probable future architecture practice.
期刊介绍:
Journal of Computational Design and Engineering is an international journal that aims to provide academia and industry with a venue for rapid publication of research papers reporting innovative computational methods and applications to achieve a major breakthrough, practical improvements, and bold new research directions within a wide range of design and engineering:
• Theory and its progress in computational advancement for design and engineering
• Development of computational framework to support large scale design and engineering
• Interaction issues among human, designed artifacts, and systems
• Knowledge-intensive technologies for intelligent and sustainable systems
• Emerging technology and convergence of technology fields presented with convincing design examples
• Educational issues for academia, practitioners, and future generation
• Proposal on new research directions as well as survey and retrospectives on mature field.