基于设计思维的创新计算方法优化市民时尚教育响应智慧城市发展微观层面需求

Yue Wu, Xiang Li, Jiafeng Zhou
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引用次数: 0

摘要

本文提出了一种创造性的计算方法,引入设计思维原理,优化服装设计专业学生的能力,从而满足智慧城市发展的微观需求。智慧城市最典型的微观层面需求之一是,通过快速、直接和最新的反映公民情况的数据和信息,通过定义问题、制定解决方案和达成共识,来优化公民的福祉和幸福。设计师作为智慧城市的公民和重要建设者,通常致力于根据人们的需求创造产品、服务和艺术作品,以优化人们的生活品质。因此,设计行业通常期望从业者具备定义问题、创造概念、收集反馈和重新设计的能力。这些能力构成了所讨论的设计思维原则的重要部分,并证明了引入设计思维的重要性。然而,在向教师介绍设计思维时,仍然存在挑战。这些挑战背后的主要动机是教师知识有限,在选择主题、定义问题和生成设计概念时,很难与学生保持一致。创造性的计算方法可以补充教师的知识,以支持学生通过数据收集、操作和演示来选择主题和产生新的设计。该方法由四个模块组成:1)输入模块,2)主题生成模块,3)主题设计连接模块,4)补充知识库模块。创造性的计算方法将为研究优化教育者/教师与学生之间沟通过程的可能性提供一个起点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Creative Computing Approach to Optimising Citizens' Fashion Education based on Design Thinking for Responding to Micro-Level Needs of Smart City Development
This paper proposes a creative computing approach to introduce design thinking principles for optimising fashion design students' capabilities, thereby fulfilling the micro-level needs of smart city development. One of the most typical micro-level needs in smart cities is to optimise citizens' well-being and happiness through problem definition, solution generation and consensus-making based on quick, direct, and up-to-date data and information reflecting citizens' situations. Designers, as citizens and significant constructors of smart cities, usually dedicate themselves to optimising people's life qualities by creating products, services and artistic works based on people's needs. Therefore, the design industry usually expects practitioners to possess the capabilities of defining problems, creating concepts, gathering feedback and redesigning. These capabilities constitute the significant parts of the design thinking principles discussed and justify the importance of introducing design thinking. However, challenges still exist when introducing design thinking for instructors. The primary incentives behind these challenges are instructors' limited knowledge, making it difficult to be on the same page with students when selecting the topics, defining problems, and generating design concepts. A creative computing approach could complement instructors' knowledge to support students' topic selection and novel design generation through data collection, manipulation, and presentation. This approach consists of four modules: i) input module, ii) Topic Generation Module, iii) Topic-Design Connection Module, and iv) Supplementary Knowledge Library Module. The creative computing approach would provide a starting point for studying the possibilities of optimising the communication process between educators/instructors and students.
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