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The Importance of Both Diagrammatic Conventions and Domain-Specific Knowledge for Diagram Literacy in Science: The Hierarchy as an Illustrative Case

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Diagrammatic Representation and Inference (Diagrams 2006)

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Abstract

As noted so eloquently by Lynch (1990), diagrams are critically important in science. Hegarty, Carpenter, and Just (1991) classified scientific diagrams into three categories: iconic, schematic, and charts and graphs. Iconic diagrams, such as photographs and line drawings, provide a depiction of concrete objects in which the spatial relations in the diagram are isomorphic to those in the referent object. Accurate representation of spatial relations can be critical, for example to distinguish the venomous coral snake from the similarly-colored non-venomous Arizona mountain king snake. In the life sciences, iconic representations help students understand the structure of objects that are not easily open to visual inspection. For example, side-by-side drawings of the stomachs of people and cows, with the parts labeled, would provide insight into why digestion works differently in these two taxa.

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References

  • Catley, K.M., Lehrer, R., Reiser, B.: Tracing a prospective learning progression for developing understanding of evolution. Paper Commissioned by the National Academies Committee on Test Design for K-12 Science Achievement (2005), a copy can be downloaded from, http://www7.nationalacademies.org/bota/Evolution.pdf

  • Catley, K.M., Novick, L.R.: Reasoning From Cladograms: A Comparison Across Levels of Biological Knowledge (manuscript) (in preparation, 2006)

    Google Scholar 

  • Day, R.S.: Alternative representations. In: Bower, G.H. (ed.) The psychology of learning and motivation, vol. 22, pp. 261–305. Academic Press, San Diego (1988)

    Google Scholar 

  • Dufour-Janvier, B., Bednarz, N., Belanger, M.: Pedagogical considerations concerning the problem of representation. In: Janvier, C. (ed.) Problems of representation in the teaching and learning of mathematics, pp. 109–122. Erlbaum, Hillsdale (1987)

    Google Scholar 

  • Gattis, M., Holyoak, K.J.: Mapping conceptual to spatial relations in visual reasoning. Journal of Experimental Psychology: Learning, Memory, and Cognition 22, 231–239 (1996)

    Article  Google Scholar 

  • Gauvain, M., de la Ossa, J.L., Hurtado-Ortiz, M.T.: Parental guidance as children learn to use cultural tools: The case of pictorial plans. Cognitive Development 16, 551–575 (2001)

    Article  Google Scholar 

  • Hegarty, M., Carpenter, P.A., Just, M.A.: Diagrams in the comprehension of scientific texts. In: Barr, R., Kamil, M.L., Mosenthal, P., Pearson, P.D. (eds.) Handbook of reading research, vol. 2, pp. 641–668. Longman, NY (1991)

    Google Scholar 

  • Hennig, W.: Phylogenetic systematics. University of Illinois Press, Urbana (1966)

    Google Scholar 

  • Hurley, S.M., Novick, L.R.: Context and structure: The nature of students’ knowledge about three spatial diagram representations. Thinking & Reasoning (in press)

    Google Scholar 

  • Kalyuga, S., Chandler, P., Sweller, J.: Levels of expertise and instructional design. Human Factors 40, 1–17 (1998)

    Article  Google Scholar 

  • Kindfield, A.C.H.: Biology diagrams: Tools to think with. The Journal of the Learning Sciences 3, 1–36 (1993/1994)

    Google Scholar 

  • Kozma, R.B., Russell, J.: Multimedia and understanding: Expert and novice responses to different representations of chemical phenomena. Journal of Research in Science Teaching 34, 949–968 (1997)

    Article  Google Scholar 

  • Lynch, M.: The externalized retina: Selection and mathematization in the visual documentation of objects in the life sciences. In: Lynch, M., Woolgar, S. (eds.) Representation in scientific practice, pp. 153–186. MIT Press, Cambridge (1990)

    Google Scholar 

  • Maienschein, J.: From presentation to representation in E. B. Wilson’s The Cell. Biology and Philosophy 6, 227–254 (1991)

    Google Scholar 

  • Mevarech, Z.R., Stern, E.: Interaction between knowledge and contexts on understanding abstract mathematical concepts. Journal of Experimental Child Psychology 65, 68–95 (1997)

    Article  Google Scholar 

  • National Council of Teachers of Mathematics. Principles and standards for school mathematics. Author, Reston, VA (2000)

    Google Scholar 

  • Novick, L.R.: Spatial diagrams: Key instruments in the toolbox for thought. In: Medin, D.L. (ed.) The psychology of learning and motivation, vol. 40, pp. 279–325. Academic Press, San Diego (2001)

    Google Scholar 

  • Novick, L.R.: Diagram literacy in pre-service math teachers, computer science majors, and typical undergraduates: The case of matrices, networks, and hierarchies. Mathematical Thinking and Learning 6, 307–342 (2004)

    Article  Google Scholar 

  • Novick, L.R.: Understanding spatial diagram structure: An analysis of hierarchies, matrices, and networks. The Quarterly Journal of Experimental Psychology (in press)

    Google Scholar 

  • Novick, L.R., Catley, K.M.: The role of perceptual and conceptual principles in students’ ability to translate between alternative hierarchical forms: Evidence from cladograms in biology (manuscript) (in preparation, 2006)

    Google Scholar 

  • Novick, L.R., Hurley, S.M.: To matrix, network, or hierarchy: That is the question. Cognitive Psychology 42, 158–216 (2001)

    Article  Google Scholar 

  • Novick, L.R., Hurley, S.M., Francis, M.: Evidence for abstract, schematic knowledge of three spatial diagram representations. Memory & Cognition 27, 288–308 (1999)

    Article  Google Scholar 

  • Whitley, K.N., Novick, L.R., Fisher, D.: Evidence in favor of visual representation for the dataflow paradigm: An experiment testing LabVIEW’s comprehensibility. International Journal of Human-Computer Studies 64, 281–303 (2006)

    Article  Google Scholar 

  • Winn, W.: The design and use of instructional graphics. In: Mandl, H., Levin, J.R. (eds.) Knowledge acquisition from text and pictures, pp. 125–144. Elsevier, Amsterdam (1989)

    Chapter  Google Scholar 

  • Zacks, J., Tversky, B.: Bars and lines: A study of graphic communication. Memory & Cognition 27, 1073–1079 (1999)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Dept. of Psychology & Human Development, Vanderbilt University, Peabody College #512, 230 Appleton Place, Nashville, TN, 37203

    Laura R. Novick

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  1. Laura R. Novick
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Editors and Affiliations

  1. Stanford University,, 94305-4101, Stanford, CA, USA

    Dave Barker-Plummer

  2. Representation and Cognition Group, University of Sussex, Brighton, UK

    Richard Cox

  3. Universidad Politécnica de Madrid, Boadilla del Monte, 28660, Madrid, Spain

    Nik Swoboda

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Novick, L.R. (2006). The Importance of Both Diagrammatic Conventions and Domain-Specific Knowledge for Diagram Literacy in Science: The Hierarchy as an Illustrative Case. In: Barker-Plummer, D., Cox, R., Swoboda, N. (eds) Diagrammatic Representation and Inference. Diagrams 2006. Lecture Notes in Computer Science(), vol 4045. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783183_1

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  • DOI: https://doi.org/10.1007/11783183_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35623-3

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