THE INSPIRATION DESIGN TOOLKIT: A HUMAN-CENTERED DESIGN TOOL FOR A SYSTEM ENGINEERING COURSE

被引:0
作者
Lee, Sheng-Hung [1 ,2 ]
Yang, Maria C. [2 ]
Carramolino, Beatriz [3 ]
Rudnik, John [4 ]
机构
[1] MIT, Integrated Design & Management IDM, Cambridge, MA 02139 USA
[2] MIT, Dept Mech Engn, Cambridge, MA 02139 USA
[3] MIT, xPRO, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[4] MIT, AgeLab, 77 Massachusetts Ave, Cambridge, MA 02139 USA
来源
PROCEEDINGS OF ASME 2021 INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, IDETC-CIE2021, VOL 4 | 2021年
关键词
System Thinking; Systems Engineering; Systems Design; Design Toolkit; Human-Centered Design; Design Theory and Methodology; Design Process; Education; CREATIVITY;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
System Engineering education typically includes content to help students learn to design and engineer large, complex systems in a structured way. In this paper, we describe the outcomes of introducing a human-centered design tool, the Inspiration Design Toolkit (IDT), to encourage students to think nonlinearly. The IDT is an educational resource consisting of a deck of illustrated cards that contain provocative questions, reflection messages and icons, applicative examples, and key takeaways on microlearning units. The aim of the IDT is to improve the participants' learning experience and course engagement, increase opportunities for them to interact with their peers and teaching team, enable them to practice and reinforce the concepts through the creation of their own IDT cards, and share the cards in the discussion to increase learners' engagement with course material and peers. We designed the IDT for an MIT online course on System Thinking. We collected, analyzed, and synthesized qualitative and quantitative feedback from 171 course participants. Our findings suggest that IDT provides learners with a digital asset that allows them to reinforce and recall the course takeaways, and apply them to other contexts. For future research, we want to understand how learners like and use IDT through demographic differences and preferred self-identified learning styles. We discuss how these findings may help educators consider critical design principles and for creating a digital self-learning toolkit connected to the course content and increasing its content adaptability.
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页数:10
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