Creative programming in architecture: a computational thinking approach

IF 2.1 Q1 EDUCATION & EDUCATIONAL RESEARCH
Patricia Domínguez-Gómez, Flavio Celis
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引用次数: 0

Abstract

The creative programming language Processing can be used as a generative architectural design tool, which allows the designer to write design instructions (algorithms) and compute them, obtaining graphical outputs of great interest. This contribution addresses the inclusion of this language in the architecture curriculum, within the context of digital culture and alternative approaches to how digital tools are used and learned. It studies the different processes related to Computational Thinking that are triggered in the prototyping of computer applications and that lead to creativity. The similarity between architectural design and programming is analysed, both in problem solving (abstraction, decomposition, iterative revisions -debugging-, etc.) and in the use of mechanisms of a digital nature (loops, randomness, etc.). The results of the design and testing of a pilot course are shown, in which the way of teaching, learning and using this programming language is based on the graphical representation of problems through sketches.
建筑中的创意编程:计算思维方法
创意编程语言 "处理"(Processing)可用作生成式建筑设计工具,它允许设计师编写设计指令(算法)并对其进行计算,从而获得极具趣味性的图形输出。这篇论文探讨了在数字文化背景下将这种语言纳入建筑课程的问题,以及如何使用和学习数字工具的替代方法。它研究了与计算思维相关的不同过程,这些过程在计算机应用原型设计中被触发,并导致创造力的产生。在解决问题(抽象、分解、迭代修改-调试等)和使用数字机制(循环、随机性等)方面,分析了建筑设计与编程之间的相似性。试验课程的设计和测试结果显示,这种编程语言的教学、学习和使用方法是基于通过草图对问题进行图形化表示。
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来源期刊
Informatics in Education
Informatics in Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
6.10
自引率
3.70%
发文量
20
审稿时长
20 weeks
期刊介绍: INFORMATICS IN EDUCATION publishes original articles about theoretical, experimental and methodological studies in the fields of informatics (computer science) education and educational applications of information technology, ranging from primary to tertiary education. Multidisciplinary research studies that enhance our understanding of how theoretical and technological innovations translate into educational practice are most welcome. We are particularly interested in work at boundaries, both the boundaries of informatics and of education. The topics covered by INFORMATICS IN EDUCATION will range across diverse aspects of informatics (computer science) education research including: empirical studies, including composing different approaches to teach various subjects, studying availability of various concepts at a given age, measuring knowledge transfer and skills developed, addressing gender issues, etc. statistical research on big data related to informatics (computer science) activities including e.g. research on assessment, online teaching, competitions, etc. educational engineering focusing mainly on developing high quality original teaching sequences of different informatics (computer science) topics that offer new, successful ways for knowledge transfer and development of computational thinking machine learning of student''s behavior including the use of information technology to observe students in the learning process and discovering clusters of their working design and evaluation of educational tools that apply information technology in novel ways.
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