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dc.contributor.authorVattam, Swaroop
dc.contributor.authorHelms, Michael E.
dc.contributor.authorGoel, Ashok K.
dc.date.accessioned2007-05-10T20:41:11Z
dc.date.available2007-05-10T20:41:11Z
dc.date.issued2007
dc.identifier.urihttp://hdl.handle.net/1853/14346
dc.description.abstractBiologically-inspired design uses analogous biological phenomena to develop solutions for engineering problems. Understanding, learning and practicing this approach to design is challenging because biologists and engineers speak different languages, have different perspectives on design, with different constraints on design problems and different resources for realizing an abstract design. In Fall 2006, we attended ME/ISyE/MSE/PTFe/BIOL 4803: Biologically-Inspired Design, an interdisciplinary introductory course for juniors and seniors offered at Georgia Tech. We collected course materials, took class notes, observed teacher-student and student-student interactions in the classroom. We also observed some sessions of a few interdisciplinary teams of students engaged in their design projects outside the classroom. We then analyzed the observations in terms of existing cognitive theories of design, modeling, and analogy. The goals of this cognitive study were to (1) understand the cognitive basis of biologically-inspired innovation in engineering design, (2) identify opportunities for enabling more effective learning of biologically-inspired design, and (3) examine the implications for developing computational tools for facilitating effective biologically-inspired design. This report summarizes our main observations about learning biologically-inspired design, and presents our preliminary analysis of biologically-inspired design in a classroom setting.en
dc.language.isoen_USen
dc.publisherGeorgia Institute of Technologyen
dc.relation.ispartofseriesGVU Technical Report; GIT-GVU-07-07en
dc.subjectBiologically-inspired designen
dc.subjectBiomimetic designen
dc.subjectEngineering designen
dc.subjectBiological systemsen
dc.titleBiologically-Inspired Innovation in Engineering Design: a Cognitive Studyen
dc.typeTechnical Reporten


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