Leveraging Design Thinking to Enhance Engineering Teaching: An Operational Model

IF 2.1 2区 工程技术 Q2 EDUCATION, SCIENTIFIC DISCIPLINES
Emily Yim Lee Au;Ravindra S. Goonetilleke
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引用次数: 0

Abstract

Contribution: The proposed operational model offers a detailed framework for understanding the complexities of design thinking. It helps instructors evaluate each stage, promoting the development of high-quality designs. This model emphasizes the link between the various stages and the final design quality, steering students toward achieving outstanding results. Background: Design thinking benefits students across almost all majors by promoting critical thinking, creativity, and teamwork. It places a strong emphasis on the user’s needs and involves testing and refining prototypes with empathy for the user. While easy to grasp, its practical application poses complex challenges, particularly in engineering and science education. Intended Outcomes: This study examines the challenges of teaching design thinking and proposes an operational model to represent the design process. Application Design: The model incorporates a “spring system” to demonstrate potential variations in the design process, including the number of user-centered design (UCD) methods used, the size of the problem/solution space, the difficulty or resistance to transitioning between activities, and time spent on each activity. Findings: Two projects illustrate the use of the model. Using the proposed metrics, the design process can be established, and the operational model can control the learning process while enhancing the consistency and quality of the design outcome. Future empirical research should validate the model’s effectiveness, address biases, and foster critical thinking and diverse perspectives within student teams.
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来源期刊
IEEE Transactions on Education
IEEE Transactions on Education 工程技术-工程:电子与电气
CiteScore
5.80
自引率
7.70%
发文量
90
审稿时长
1 months
期刊介绍: The IEEE Transactions on Education (ToE) publishes significant and original scholarly contributions to education in electrical and electronics engineering, computer engineering, computer science, and other fields within the scope of interest of IEEE. Contributions must address discovery, integration, and/or application of knowledge in education in these fields. Articles must support contributions and assertions with compelling evidence and provide explicit, transparent descriptions of the processes through which the evidence is collected, analyzed, and interpreted. While characteristics of compelling evidence cannot be described to address every conceivable situation, generally assessment of the work being reported must go beyond student self-report and attitudinal data.
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