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Elaborating the structures of a science discipline to improve problem-solving instruction: An account of Classical Genetics' theory structure, function, and development

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Abstract

Situating the conceptual knowledge of a science discipline in the context of its use in the solving of problems allows students the opportunity to develop: a highly structured and functional understanding of the conceptual structure of the discipline; general and discipline-specific problem-solving strategies and heuristics; and insight into the nature of science as an intellectual activity. In order realize these potential learning outcomes, the reconstructions of scientific theories used in problem solving must provide a detailed account of (1) realistic scientific problems and their solutions; (2) problem-solving strategies and patterns of reasoning of disciplinary experts; (3) the various ways that theories function for both disciplinary experts and students; and (4) the way theories, as solutions to realistic scientific problems, develop over time. The purpose of this paper, therefore, is to provide further specificity regarding a philosophical reconstruction of the structure of Classical Genetics Theory that can facilitate problem-solving instruction. We analyze syntactic, semantic and problem-based accounts of theory structure with respect to the above criteria and develop a reconstruction that incorporates elements from the latter two. We then describe how that reconstruction can facilitate realistic problem solving on the part of students.

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References

  • Al-KunifedA. & WanderseeJ. H.: 1990, ‘One Hundred References Related to Concept Mapping’,Journal of Research in Science Teaching 27 (10), 1069–1075.

    Google Scholar 

  • American Association for the Advancement of Science: 1989,Science for All Americans, Project 2061, Washington, D.C.

  • CallebautW.: 1993,Taking the Naturalistic Turn or How Real Philosophy of Science is Done, University of Chicago Press, Chicago.

    Google Scholar 

  • Collins, A.: 1986,Strategic Knowledge Required for Desired Performance in Solving Transmission Genetics Problems, Ph.D. Diss., University of Wisconsin-Madison.

  • CulpS. & KitcherP.: 1989, ‘Theory Structure and Theory Change in Contemporary Molecular Biology’,British Journal for the Philosophy of Science 40(4), 459–483.

    Google Scholar 

  • DardenL.: 1991,Theory Change in Science: Strategies from Mendelian Genetics, Oxford University Press, New York.

    Google Scholar 

  • DuschlR. A.: 1990,Restructuring Science Education: The Importance of Theories and Their Development, Teachers College Press, New York.

    Google Scholar 

  • FetzerJ. H.: 1993,Foundations of Philosophy of Science: Recent Developments, Paragon House, New York.

    Google Scholar 

  • FeyerabendP. K.: 1962, ‘Explanation, Reduction and Empiricism’, in H.Feigl & G.Maxwell (eds.),Scientific Explanation: Space and Time, University of Minnesota Press, Minneapolis, pp. 28–97.

    Google Scholar 

  • FinleyF. & StewartJ.: 1982, ‘Representing Substantive Structures’,Science Education 66(4), 593–611.

    Google Scholar 

  • GabelD. (ed.): 1994,Handbook of Research on Science Teaching and Learning: A Project of the National Science Teachers Association, MacMillan Publishing Company, New York.

    Google Scholar 

  • GiereR. N.: 1988,Explaining Science: A Cognitive Approach, The University of Chicago Press, Chicago.

    Google Scholar 

  • GiereR. N.: 1994, ‘The Cognitive Structure of Scientific Theories’,Philosophy of Science 61(2), 276–296.

    Google Scholar 

  • GriesemerJ. R.: 1984, ‘Presentations and the Status of Theories’,PSA 1, 102–114.

    Google Scholar 

  • GriesemerJ. R.: 1990, ‘Modeling in the Museum: On the Role of Remnant Models in the Work of Joseph Grinnell’,Biology and Philosophy 5(1), 3–36.

    Google Scholar 

  • GriesemerJ. R.: 1991, ‘Must Scientific Diagrams Be Eliminable? The Case of Path Analysis’,Biology and Philosophy 6(2), 155–180.

    Google Scholar 

  • HafnerR. & StewartJ.: 1995, ‘Revising Explanatory Models to Accommodate Anomalous Genetic Phenomena: Problem Solving in the “Context of Discovery”’,ciece Education 79(2), 111–146.

    Google Scholar 

  • JohnsonS. K. & StewartJ.: 1990, ‘Using Philosophy of Science in Curriculum Development: An Example from High School Genetics’,International Journal of Science Education 12(3), 297–307.

    Google Scholar 

  • JungckJ. R. & CalleyJ.: 1984,Gupenetics construction kit. COMPress Software, Wentworth, N. H.

    Google Scholar 

  • KindfieldA. C. H.: 1994, ‘Biology Diagrams: Tools to Think With’,Journal of the Learning Sciences 3(1), 1–36.

    Google Scholar 

  • KitcherP.: 1984, ‘1953 and All That, a Tale of Two Sciences’,The Philosophical Review 43(3), 335–373.

    Google Scholar 

  • KitcherP.: 1985, ‘Darwin's Achievement’, in N.Rescher (ed.),Reason and Rationality in Natural Science, University Press of America, Lanham, MD, pp. 127–189.

    Google Scholar 

  • KitcherP.: 1991, ‘Explanatory Unification and the Causal Structure of the World’, in P.Kitcher & W.Salmon (eds.),Scientific Explanation, University of Minnesota Press, Minneapolis, pp. 410–505.

    Google Scholar 

  • KitcherP.: 1993,The Advancement of Science: Science Without Legend, Objectivity Without Illusions. Oxford University Press, New York.

    Google Scholar 

  • KuhnT. S.: 1962,The Structure of Scientific Revolution, University of Chicago Press, Chicago.

    Google Scholar 

  • LakatosI.: 1970, ‘Falsification and the Methodology of Scientific Research Programs’, in I.Lakatos & A.Musgrave (eds.),Criticism and the Growth of Knowledge, Cambridge University Press, Cambridge, pp. 91–196.

    Google Scholar 

  • LarkinJ. H. & SimonH.: 1987, ‘Why a Diagram is (Sometimes) Worth Ten Thousand Words’,Cognitive Science 11(1), 65–99.

    Google Scholar 

  • LaudanL.: 1977,Progress and its Problems: Towards a Theory of Scientific Growth, University of California Press, Berkeley.

    Google Scholar 

  • LloydE. A.: 1988,The Structure and Confirmation of Evolutionary Theory, Greenwood Press, New York.

    Google Scholar 

  • MayrE.: 1982,The Growth of Biological Thought: Diversity, Evolution and Inheritance, Harvard University Press, Cambridge, MA.

    Google Scholar 

  • MayrE.: 1985, ‘How Biology Differs from the Physical Sciences’, in D. J.Depew & B. H.Weber (eds.),Evolution at a Crossroads: The New Biology and the New Philosophy of Science, MIT Press, Cambridge, MA, pp. 43–63.

    Google Scholar 

  • MayerR. E.: 1992, ‘Knowledge and Thought: Mental Models that Support Scientific Reasoning’, in R. A.Duschl & R. J.Hamilton (eds.),Philosophy of Science, Cognitive Psychology, and Educational Theory and Practice, State University of New York Press, Albany, pp. 226–243.

    Google Scholar 

  • National Research Council: 1990,Fulfilling the Promise: Biology Education in the Nation's Schools, National Academy Press, Washington D.C.

    Google Scholar 

  • NicklesT.: 1981, ‘What is a Problem that We May Solve It?’,Synthese 47, 85–118.

    Google Scholar 

  • NicklesT.: 1987, ‘Twixt Method and Madness’, in N. J.Nersessian (ed.),The Process of Science, Martinus Nijhoff Publishers, Dordrecht, pp. 41–67.

    Google Scholar 

  • NicklesT.: 1988, ‘Questioning and Problems in Philosophy of Science: Problem-Solving Versus Directly Truth-Seeking Epistemologies’, in M.Meyer (ed.),Questions and Questioning, DeGruyter, Berlin, pp. 43–67.

    Google Scholar 

  • PetersonN. S., JungckJ. R., SharpeD. M. & FinzerW. F.: 1987, ‘A Design Approach to Science. Simulated Laboratories: Learning Via the Construction of Meaning’,Machine-Mediated Learning 2(1/2), 111–127.

    Google Scholar 

  • RuseM.: 1973,The Philosophy of Biology, Hutchinson, London.

    Google Scholar 

  • SchankR. C.: 1986,Explanation Patterns: Understanding Mechanically and Creatively, Lawrence Erlbaum, Hillsdale, NJ.

    Google Scholar 

  • SchwabJ. J.: 1962, ‘The Concept of the Structure of a Discipline’,Educational Record 43, 197–205.

    Google Scholar 

  • SchwabJ. J.: 1964, ‘The Structure of the Disciplines: Meanings and Significances’, in C. W.Ford& L.Pugno (eds.),The Structure of Knowledge and the Curriculum, Rand McNally and Company, New York, pp. 1–30.

    Google Scholar 

  • Science as a Way of Knowing — I.Evolutionary Biology: 1984, American Zoologist24(2), 419–534.

  • Science as a Way of Knowing — II.Human Ecology: 1985, American Zoologist25(2), 375–641.

  • Science as a Way of Knowing — III.Genetics: 1986, American Zoologist26(3), 569–918.

  • Science as a Way of Knowing — IV.Developmental Biology: 1987, American Zoologist27(2), 411–732.

  • Science as a Way of Knowing — V.Form and Function: 1988, American Zoologist28(2), 441–808.

  • Science as a Way of Knowing — VI.Cell and Molecular Biology: 1989, American Zoologist29(2), 481–817.

  • Science as a Way of Knowing — VII.Neurobiology and Behavior: 1990, American Zoologist30(3), 401–860.

  • ShapereD.: 1974,Galileo: A Philosophical Study, University of Chicago Press, Chicago.

    Google Scholar 

  • StegmullerW.: 1976,The Structure and Dynamics of Theories, Springer-Verlag, New York.

    Google Scholar 

  • StewartJ.: 1988, ‘Potential Learning Outcomes from Solving Genetics Problems: A Typology of Problems’,Science Education 72(2), 237–254.

    Google Scholar 

  • StewartJ. & HafnerR.: 1991, ‘Extending the Conception of “Problem” in Problem-solving Research’,Science Education 75(1), 105–120.

    Google Scholar 

  • StewartJ. & VanKirkJ.: 1990, ‘Understanding and Problem Solving in Classical Genetics’,International Journal of Science Education 12(5), 575–588.

    Google Scholar 

  • SuppeF.: 1974, ‘Some Philosophical Problems in Biological Speciation and Taxonomy’, in J. A.Wojcieckowske (ed.),Conceptual Basis of the Classification of Knowledge, Verlag Dokumentation, Munich, pp. 190–243.

    Google Scholar 

  • SuppeF.: 1989,The Semantic Conception of Theories and Scientific Realism, University of Illinois Press, Urbana, IL.

    Google Scholar 

  • SuppesP.: 1967, ‘What is a Scientific Theory?’, in S.Morgenbesser (ed.),Philosophy of Science Today, Meridian, New York, pp. 655–676.

    Google Scholar 

  • ThompsonP.: 1989,The Structure of Biological Theories, State University of New York Press, Albany.

    Google Scholar 

  • ToulminS. E.: 1972,Human Understanding, Princeton University Press, Princeton.

    Google Scholar 

  • VolpeE. P.: 1984, ‘The Shame of Science Education’,American Zoologist 24(2), 433–441.

    Google Scholar 

  • WimsattW. C.: 1987, ‘False Models as Means to Truer Theories’, in M.Nitecki (ed.),Neural Models in Biology, Oxford University Press, London, pp. 23–55.

    Google Scholar 

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Hafner, R., Culp, S. Elaborating the structures of a science discipline to improve problem-solving instruction: An account of Classical Genetics' theory structure, function, and development. Sci Educ 5, 331–355 (1996). https://doi.org/10.1007/BF00625606

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