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The following is a Theory paper that presents an ethnographic exploration into how concepts are situated in workplace and classroom settings. Situated cognition research demonstrates that different contexts wherein learning occurs and knowledge is applied shape our conceptual understanding. Within engineering education and practice this means that practitioners, students, and instructors demonstrate different ways of representing their conceptual knowledge due to the different contexts wherein they learn and apply engineering concepts. The purpose of this paper is to present themes on how practitioners, students, and instructors represent fundamental structural engineering concepts within the contexts of structural engineering design. By representation of concepts we mean the ways in which practitioners, students, and instructors portray and demonstrate their conceptual understanding of concepts through the social and material contexts of the workplace and classroom environments. Previous research on learning and engineering education has shown the influence that social and material contexts within these environments have on our knowing and understanding. The researchers use ethnographic methods consisting of workplace and classroom observations, interviews with practitioners, students, and instructors, and documentation of workplace and academic artifacts—such as drawings, calculations, and notes—to access practitioners’, students’, and instructors’ conceptual representations. These ethnographic methods are conducted at a private engineering firm and in 300 and 400 level structural engineering courses. Preliminary results indicate that instructors’ conceptual representations in the classroom aim to enhance students’ broader understanding of these concepts; whereas students’ conceptual representations are focused towards utility in solving homework and exam problems. Practitioners’ conceptual representations are more flexible and adapt to project and workplace constraints. These results seem to indicate that even when instructors emphasize broader conceptual knowledge, the academic incentives behind homework and test scores lead to more academically focused conceptual representations by students. Furthermore, practitioners’ conceptual representations indicate the necessity of conceptual fluency in the workplace, which contrasts with the rigidity of conceptual representations that students develop in the classroom. This comparison between workplace and academic conceptual representations enhances our understanding of the extent to which students, instructors, and practitioners share similar or different conceptual representations within the domain of structural engineering. This, in turn, may lead to guided curriculum reform efforts aimed at better preparing structural engineering students for their professional careers.
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Characterizing Variability in Shared Meaning through Millions of Sketches
The study of mental representations of concepts has histori- cally focused on the representations of the “average” person. Here, we shift away from this aggregate view and examine the principles of variability across people in conceptual rep- resentations. Using a database of millions of sketches by peo- ple worldwide, we ask what predicts whether people converge or diverge in their representations of a specific concept, and which kinds of concepts tend to be more or less variable. We find that larger and more dense populations tend to have less variable representations, and concepts high in valence and arousal tend to be less variable across people. Further, two countries tend to have people with more similar conceptual representations when they are linguistically, geographically, and culturally similar. Our work provides the first characteri- zation of the principles of variability in shared meaning across a large, diverse sample of participants.
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- Award ID(s):
- 2020969
- PAR ID:
- 10302201
- Date Published:
- Journal Name:
- Proceedings of the Annual Meeting of the Cognitive Science Society
- Page Range / eLocation ID:
- 1970-1976
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.31234/osf.io/p4s7d
