# The Gap Between University and the Workplace

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The orthodox view in the teaching of science and mathematics at the university level is that during lecture courses, knowledge and information are transmitted (as if “piped”) from the heads' of the professors to those of the students. The latter then (fail to) apply what they supposedly “learned” during the lectures to world problems or “real-world contexts.” Even those who adopt a constructivist stance to learning appear to assume that students transfer to the workplaces that they enter after graduation whatever they have learned in their university lectures. The reality shows that this is not the case. My experience and research shows that university science and mathematics professors complain that their undergraduate students come with little knowledge; those who employ university graduates, in turn, also deplore the substantial lack of graduates' mathematical and scientific knowledge required on the job. This can be interpreted in at least two ways. First, we may infer that both high school and university students have cognitive deficits so that they either or both (a) do not learn and (b) do not transfer what they have learned to a new setting. Second, we may infer that very little relevant knowledge has actually been transferred from textbooks and teachers' or professors' minds to the students. In any case, there appear to be knowledge gaps fittrst between high school and university, then between university and workplace. Being successful in the former institution does not guarantee success — at least initially — in the latter. How then should university science and mathematics educators approach this problem? What good does it do to teach if little of what has been taught is of actual use in the places that the university intends to prepare students for?

In this chapter, I track the problem of the knowledge gap between university and workplace. I begin by describing and exemplifying the results of nearly a decade of research involving both think-aloud protocols among science students and professional scientists and long-term ethnographic studies among scientists and technicians. My paradigm case comes from graphing, that is, a “skill” or practice that lies at the very heart of and defines the nature of science (Roth, 2003). I briefly articulate the problem in terms of a theoretical framework that is centrally concerned with *what people do*rather than with what they might carry around in their brain case. This theoretical approach not only explains the gap but also allows us to articulate constraints on the redesign of university education intended to do a better job in preparing science and mathematics students for their future workplaces

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Science Teacher Fish Culturist Fish Hatchery Maximum Sustainable Yield Birth Rate Curve## Preview

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## References

- Ardenghi, D., Roth, W.-M. & Pozzer-Ardenghi, L. (2005).
*Learning Ethics in Dentistry Practice*. Paper presented at the annual meeting of the American Educational Research Association, Montreal, QCGoogle Scholar - Brown, J.S., Collins, A. & Duguid, P. (1989). Situated Cognition and the Culture of Learning.
*Educational Researcher*,18(1), 32–42Google Scholar - Church, R.B. & Goldin-Meadow, S. (1986). The Mismatch Between Gesture and Speech as an Index of Transitional Knowledge.
*Cognition*,23, 43–71CrossRefGoogle Scholar - Edgerton, S. (1985). The Renaissance Development of the Scientific Illustration. In J. Shirley & D. Hoeniger (Eds.),
*Science and the Arts in the Renaissance*(pp. 168–197). Washington, DC: Folger Shakespeare LibraryGoogle Scholar - Kingsland, S.E. (1995).
*Modeling Nature: Episodes in the History of Population Ecology*(2nd ed.). Chicago: University of ChicagoGoogle Scholar - Leinhardt, G., Zaslavsky, O. & Stein, M.K. (1990). Functions, Graphs, and Graphing: Tasks, Learning, and Teaching.
*Review of Educational Research*,60, 1–64Google Scholar - Lemke, J.L. (1998). Multiplying Meaning: Visual and Verbal Semiotics in Scientific Text. In J.R. Martin & R. Veel (Eds.),
*Reading Science*(pp. 87–113). London: RoutledgeGoogle Scholar - Leont'ev, A.N. (1978).
*Activity, Consciousness and Personality*. Englewood Cliffs, NJ: Prentice HallGoogle Scholar - Roth, W.-M. (1996). Where is the Context in Contextual Word Problems?: Mathematical Practices and Products in Grade 8 Students' Answers to Story Problems.
*Cognition and Instruction*,14, 487–527CrossRefGoogle Scholar - Roth, W.-M. (2002). Henderson Creek. In L.M. Richter & R. Engelhart (Eds.),
*Life of Science: Whitebook on Educational Initiatives in Natural Sciences and Technology*(pp. 155–166). Copenhagen: Learning Lab DenmarkGoogle Scholar - Roth, W.-M. (2003).
*Toward an Anthropology of Graphing*. Dordrecht: KluwerGoogle Scholar - Roth, W.-M. (2004). Emergence of Graphing Practices in Scientific Research.
*Journal of Cognition and Culture*,4, 595–627CrossRefGoogle Scholar - Roth, W.-M. (2005a). Making Classifications (At) Work: Ordering Practices in Science.
*Social Studies of Science*,35, 581–621CrossRefGoogle Scholar - Roth, W.-M. (2005b). Mathematical Inscriptions and the Reflexive Elaboration of Understanding: An Ethnography of Graphing and Numeracy in a Fish Hatchery.
*Mathematical Thinking and Learning*,7, 75–109CrossRefGoogle Scholar - Roth, W.-M. (2007a). Emotions, Motivation, and Identity in Mathematics and Activity Theory.
*Mind, Culture, and Activity*14, 40–63Google Scholar - Roth, W.-M. (2007b). Mathematical Modeling ‘in the Wild’: A Case of Hot Cognition. In R. Lesh, J.J. Kaput, E. Hamilton & J. Zawojewski (Eds.),
*Users of Mathematics: Foundations for the Future*(pp. 77–97). Mahwah, NJ: Lawrence ErlbaumGoogle Scholar - Roth, W.-M. & Bowen, G.M. (2003). When are Graphs Ten Thousand Words Worth? An Expert/ Expert Study.
*Cognition and Instruction*21(4), 429–473CrossRefGoogle Scholar - Roth, W.-M. & McGinn, M.K. (1998). Science Education:/Lives/Work/Voices.
*Journal of Research in Science Teaching*,35, 399–421CrossRefGoogle Scholar - Roth, W.-M. & Tobin, K.G. (2002).
*At the Elbow of Another: Learning to Teach by Coteaching*. New York: Peter LangGoogle Scholar - Roth, W.-M., Bowen, G.M. & McGinn, M.K. (1999). Differences in Graph-Related Practices Between High School Biology Textbooks and Scientific Ecology Journals.
*Journal of Research in Science Teaching*,36, 977–1019CrossRefGoogle Scholar - Roth, W.-M., Hwang, S., Lee, Y.-J. & Goulart, M. (2005).
*Participation, Learning, and Identity: Dialectical Perspectives*. Berlin: Lehmanns MediaGoogle Scholar - Roth, W.-M., McGinn, M.K. & Bowen, G.M. (1998). How Prepared are Preservice Teachers to Teach Scientific Inquiry? Levels of Performance in Scientific Representation Practices.
*Journal of Science Teacher Education*,9, 25–48CrossRefGoogle Scholar - Wartofsky, M. (1979).
*Models: Representations and Scientific Understanding*. Dordrecht, The Netherlands: ReidelGoogle Scholar