Abstract
Some studies suggest that individuals having completed undergraduate science programs are often poorly prepared to use graphs in ways typical of their disciplines. Science and technology studies have identified competency in graphing as being of central importance to the practice of a scientific discipline. Given the centrality of graphing to the practice of science, an important aspect of becoming enculturated into the practices of a scientific discipline is being able to use and interpret graphs in ways that are typical to that discipline. For example, competency in this usage is important to reading, interpreting and understanding journal articles in a discipline. Undergraduate science students spend a considerable amount of time in lectures where graphical representations play a major role in the presentation of subject matter. To gain an understanding of the use of graphs in lectures and how this use contributes to student understanding, this paper provides a microanalysis of graph use in lectures drawn from artifacts compiled from videotaping all lectures and seminars in a thirteen week ecology course. This analysis focused on both the text and the geestural references made in the reading of a graph in an ecology lecture. We conclude that the common ground existing amongst scientists that help them reach an agreed upon interpretation of a graph is missing from the present lectures and then discuss the constraints this places on students, learning about graphs in lectures.
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References
Anderson, J. R. (1985).Cognitive psychology and its implications. San Francisco, CA: Freeman.
Bastide, F. (1990). The iconography of scientific texts: Principles of analysis. In M. Lynch, & S. Woolgar (Eds.),Representation in scientific practice (pp. 187–229). Cambridge, MA: MIT Press.
Bourdieu, P. (1997).Méditations pascaliennes [Pascalian meditations]. Paris: Seuil.
Bowen, G. M., & Roth, W.-M. (1997, October).Graphing from Grade 8 to professional practice. Paper presented at the annual meeting of the Society for the Social Studies of Science, Tucson, Arizona.
Bowen, G. M., & Roth, W.-M. (1998, April).Are pre-service teachers prepared to teach inquiry? Paper presented at the annual conference of the American Educational Research Association, San Diego, CA.
Bowen, G. M., Roth, W.-M., & McGinn, M. K. (1997, March).Learning to interpret graphs in small group interactions in a second-year university ecology course. Paper presented at the annual conference of the American Educational Research Association, Chicago, Ill.
Gadamer, H. G. (1975).Truth and method. London: Sheed Ward.
Garfinkel, H. (1991). Respecification: Evidence for locally produced naturally accountable phenomena of order*, logic, reason, meaning, method, etc. in an as of the essential haecceity of immortal ordinary society, (I)—an announcement of studies. In G. Button (Ed.),Ethnomethodology and the human sciences (pp. 10–19). Cambridge: Cambridge University Press.
Geertz, C. (1973).The interpretation of cultures: Selected essays. New York: Basic Books.
Goodwin, C. (1986). Gestures as a resource for the organization of mutual orientation.Semiotica, 62, 29–49.
Heidegger, M. (1977).Sein und zeit [Being and time]. Tübingen, Germany: Max Niemeyer.
Jordan, B., & Henderson, A. (1995). Interaction analysis: Foundations and practice.The Journal of the Learning Sciences, 4, 39–103.
Knorr-Cetina, K. D., & Amann, K. (1990). Image dissection in natural scientific inquiry.Science, Technology, & Human Values, 15, 259–283.
Latour, B. (1987).Science in Action: How to follow scientists and engineers through society. Milton Keynes: Open University Press.
Latour, B. (1993).La clef de Berlin et autres leçons d'un amateur de sciences [The key to Berlin and other lessons of a science lover]. Paris: Éditions la Découverte.
Leinhardt, G., Zaslavsky, O., & Stein, M. K. (1990). Functions, graphs, and graphing: Tasks, learning, and teaching.Review of Educational Research, 60, 1–64.
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: Routledge.
Lowe, R. K. (1993). Constructing a mental representation from an abstract technical diagram.Learning and Instruction, 3, 157–179.
Lynch, M. (1991). Method: Measurement-ordinary and scientific measurement as ethnomethodological phenomena. In G. Button (Ed.),Ethnomethodology and the human sciences (pp. 77–108. Cambridge: Cambridge University Press.
Lynch, M. (1995). Laboratory space and the technological complex: An investigation of topical contextures. In S. L. Star (Ed.),Ecologies of knowledge: Work and politics in science and technology (pp. 226–256). Albany, NY: State University of New York Press.
Pea, R. (1993). Practices of distributed intelligence and designs for education. In G. Salomon (Ed.),Distributed cognitions: Psychological and educational considerations (pp. 47–87). Cambridge: Cambridge University Press.
Ricklefs, R. E. (1990).Ecology (3rd ed.). New York: Freeman.
Ricœur, P. (1991).From text to action: Essays in hermeneutics, II. Evanston, IL: Northwestern University Press.
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, 487–527.
Roth, W.-M. & Bowen, G. M. (1998, April).cognitive complexities of graphical representations during ecology lectures: A phenomenological hermeneutics approach. Paper presented at the annual meeting of the American Educational Research Association, San Diego, California.
Roth, W.-M., & Masciotra, D. (in preparation). From thing to sign: Toward a genetic phenomenology of graph interpretation.
Roth, W.-M., & McGinn, M. K. (1997). Graphing: Cognitive ability or practice?Science Education, 81, 91–106.
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(1), 25–48.
Roth, W.-M., McGinn, M. K., & Bowen, G. M. (1997, April). Towards an anthropology of graphing. Paper presented at the annual meeting of the American Educational Research Association, Chicago, Illinois.
Roth, W.-M., McRobbie, C., Lucas, K. B., & Boutonné, S. (1997). Why do students fail to learn from demonstrations? A social practice perspective on learning in physics.Journal of Research in Science Teaching, 34, 509–533.
Roth, W.-M., & Tobin, K. (1996). Staging Aristotle and natural observation against Galileo and (stacked) scientific experiment or physics lectures as rhetorical events.Journal of Research in Science Teaching, 33, 135–157.
Roth, W.-M., Tobin, K., & Shaw, K. (1997). How numbers, tables, graphs, and money come to represent a rolling ball: A microanalysis of “difficult” physics lectures.International Journal of Science Education, 19, 1075–1091.
Schnotz, W. (1993). Introduction.Learning and Instruction, 3, 151–155.
Suchman, L. A., & Trigg, R. H. (1993). Artificial intelligence as craftwork. In S. Chaiklin, & J. Lave (Eds.),Understanding practice: Perspectives on activity and context (pp. 144–178). Cambridge: Cambridge University Press.
Winograd, T., & Flores, F. (1987).Understanding computers: A new foundation for design. New York: Addison-Wesley.
Woolgar, S. (1990). Time and documents in researcher interaction: Some ways of making out what is happening in experimental science. In M. Lynch, & S. Woolgar (Eds.),Representation in scientific practice (pp. 123–152). Cambridge, MA: MIT.
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Bowen, G.M., Roth, WM. Lecturing graphing: What features of lectures contribute to student difficulties in learning to interpret graph?. Research in Science Education 28, 77–90 (1998). https://doi.org/10.1007/BF02461643
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DOI: https://doi.org/10.1007/BF02461643