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Research Reports

Examining the Relationship Between Students’ Understanding of the Nature of Models and Conceptual Learning in Biology, Physics, and Chemistry

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Pages 653-684 | Published online: 14 Jun 2010

References

  • Abd‐El‐Khalick , F. and Lederman , N. G. 2000 . Improving science teachers’ conceptions of the nature of science: A critical review of the literature . International Journal of Science Education , 22 (7) : 665 – 701 .
  • Bell , P. 1998 . Designing for students’ science instruction using argumentation to classroom debate , Berkeley : University of California . Unpublished doctoral dissertation
  • Bisard , W. J. , Aron , R. H. , Francek , M. and Nelson , B. D. 1994 . Assessing selected physical science and earth science misconceptions of middle school through university pre‐service teachers . Journal of College Science Teaching , 24 (1) : 38 – 42 .
  • Buehl , M. and Alexander , P. 2005 . Students’ domain‐specific epistemological belief profiles . American Educational Research Journal , 42 (4) : 697 – 726 .
  • Burbules , N. C. and Linn , M. C. 1991 . Science education and philosophy of science: Congruence or contradiction? . International Journal of Science Education , 22 (8) : 798 – 817 .
  • Carey , S. , Evans , R. , Honda , M. , Jay , E. and Unger , C. 1989 . An experiment is when you try it and see if it works: A study of grade 7 students’ understanding of the construction of scientific knowledge . International Journal of Science Education , 11 : 514 – 529 .
  • Carey , S. and Smith , C. 1993 . On understanding the nature of scientific knowledge . Educational Psychologist , 28 : 235 – 251 .
  • Carey , S. and Smith , C. 1995 . “ On understanding the nature of scientific knowledge ” . In Software goes to school , Edited by: Perkins , D. , Schwartz , J. , Maxwell West , M. and Stone Wiske , M. 39 – 55 . Oxford : Oxford University Press .
  • Champagne , A. , Gunstone , R. and Klopfer , L. 1985 . “ Effecting changes in cognitive structures among physics students ” . In Cognitive structure and conceptual change , Edited by: West , L. and Pines , A. 61 – 90 . New York : Academic Press .
  • Chen , Z. and Klahr , D. 1999 . All other things being equal: Acquisition and transfer of the control of variables strategy . Child Development , 70 (5) : 1098 – 1120 .
  • Chinn , C. A. and Malhotra , B. A. 2002 . Epistemologically authentic reasoning in schools: A theoretical framework for evaluating inquiry tasks . Science Education , 86 : 175 – 218 .
  • Chittleborough , G. , Treagust , D. , Mamiala , M. and Mocerino , M. 2005 . Students’ perceptions of the role of models in the process of science and in the process of learning . International Journal of Science Education , 23 (2) : 195 – 212 .
  • Clement , J. Model construction and criticism cycles in expert reasoning . In The proceedings of the 15th annual conference of the Cognitive Science Society . pp. 336 – 341 . Hillsdale, NJ : Lawrence Erlbaum .
  • Clement , J. , Brown , B. and Zietsman , A. 1989 . Not all preconceptions are misconceptions: Finding ‘anchoring conceptions’ for grounding instruction on students’ intuitions . International Journal of Science Education , 11 : 554 – 565 .
  • Crawford , B. A. and Cullin , M. J. 2004 . Supporting prospective teachers’ conceptions of modeling in science . International Journal of Science Education , 26 (11) : 1379 – 1401 .
  • Driver , R. , Guesne , E. and Tiberghien , A. 1985 . Children’s ideas in science , Buckingham : Open University Press .
  • Driver , R. , Leach , J. , Millar , R. and Scott , P. 1996 . Young people’s images of science , Buckingham : Open University Press .
  • Driver , R. , Squires , A. , Rushworth , P. and Wood‐Robinson , V. 1994 . Making sense of secondary science , New York : Routledge .
  • Estes , D. , Chandler , M. , Horvath , K. J. and Backus , D. W. 2003 . American and British college students’ epistemological beliefs about research on psychological and biological development . Applied Developmental Psychology , 23 : 625 – 642 .
  • Giere , R. N. 1990 . Explaining science , Chicago : University of Chicago Press .
  • Gilbert , J. K. , ed. 1993 . Models and modelling in science education , Hatfield : Association for Science Education .
  • Gobert , J. 2000 . A typology of models for plate tectonics: Inferential power and barriers to understanding . International Journal of Science Education , 22 (9) : 937 – 977 .
  • Gobert , J. 2005 . “ Leveraging technology and cognitive theory on visualization to promote student’s science learning and literacy ” . In Visualization in science education , Edited by: Gilbert , J. 73 – 90 . Dordrecht : Springer‐Verlag .
  • Gobert , J. and Buckley , B. 2000 . Special issue editorial: Introduction to model‐based teaching and learning . International Journal of Science Education , 22 (9) : 891 – 894 .
  • Gobert , J. , Buckley , B. and Clarke , J. Scaffolding model‐based reasoning: Representations, information‐processing, and cognitive affordances . Paper presented at the annual meeting of the American Educational Research Association . San Diego, CA. April .
  • Gobert , J. and Clement , J. 1999 . Effects of student‐generated diagrams versus student‐generated summaries on conceptual understanding of causal and dynamic knowledge in plate tectonics . Journal of Research in Science Teaching , 36 (1) : 39 – 53 .
  • Gobert , J. and Discenna , J. 1997 . The relationship between students’ epistemologies and model‐based reasoning , Kalamazoo : Department of Science Studies, Western Michigan University . (ERIC Document Reproduction Service No. ED409164.)
  • Gobert , J. , Heffernan , N. , Beck , J. and Koedinger , K. 2009 . ASSISTments Meets Science Learning Proposal funded by the US Department of Education (R305A090170)
  • Gobert , J. , Heffernan , N. , Ruiz , C. and Kim , R. 2007 . “ AMI: ASSISTments Meets Inquiry ” . Proposal funded by the National Science Foundation (NSF‐DRL# 0733286)
  • Gobert , J. and Horwitz , P. 2002 . Do modeling tools help students learn science? . In @ Concord , 6 (1) : 19
  • Gobert , J. D. and Pallant , A. 2004 . Fostering students’ epistemologies of models via authentic model‐based tasks . Journal of Science Education and Technology , 13 (1) : 7 – 22 .
  • Gobert , J. , Slotta , J. and Pallant , A. Inquiry learning through students’ east‐west coast collaboration . Paper presented at the National Association for Research in Science Teaching . New Orleans, LA. April .
  • Gobert , J. , Snyder , J. and Houghton , C. The influence of students’ understanding of models on model‐based reasoning . Paper presented at the annual meeting of the American Educational Research Association . New Orleans, LA. April .
  • Grosslight , L. , Unger , C. , Jay , E. and Smith , C. 1991 . Understanding models and their use in science: Conceptions of middle and high school students and experts . Journal of Research in Science Teaching , 28 (9) : 799 – 822 .
  • Hammer , D. 1994 . Epistemological beliefs in introductory physics . Cognition and Instruction , 12 (2) : 151 – 183 .
  • Hammer , D. 1995 . Epistemological considerations in teaching introductory physics . Science Education , 79 (4) : 393 – 413 .
  • Hammer , D. and Elby , A. 2002 . “ On the form of a personal epistemology ” . In Personal epistemology: The psychology of beliefs about knowledge and knowing , Edited by: Hofer , B. and Pintrich , P. 169 – 190 . Mahwah, NJ : Lawrence Erlbaum .
  • Hennessey , M. G. Students’ epistemological stance: Nature of learning and nature of science . Paper presented at the Cognitive Studies and Educational Practice Meetings of the McDonnell Foundation . Nashville, TN. September .
  • Hennessey , M. G. and Beeth , M. Students’ reflective thoughts about science content: A relationship to conceptual change learning . Paper presented at the meeting of the American Educational Research Association . Atlanta, GA. April .
  • Hesse , M. B. 1963 . Models and analogies in science , London : Sheed & Ward .
  • Hestenes , D. 1987 . Toward a modeling theory of physics instruction . American Journal of Physics , 55 (5) : 440 – 454 .
  • Hodson , D. 1992 . In search of a meaningful relationship: An exploration of some issues relating to integration in science and science education . International Journal of Science Education , 14 : 541 – 562 .
  • Hofer , B. 2000 . Dimensionality and disciplinary differences in personal epistemology . Contemporary Educational Psychology , 25 : 378 – 405 .
  • Hofer , B. Understanding students’ epistemic beliefs in math and science: An overview of constructs, measures, and research . Paper presented at the BRAIN Conference (Broadening Research at International Network: Developing a Cross‐Domain Research Framework for Science and Math Education), National Taiwan Normal University . Taipei. May .
  • Hofer , B. 2006b . Domain specificity of personal epistemology: Resolved questions, persistent issues, new models . International Journal of Educational Research , 45 : 85 – 95 .
  • Honda , M. 1994 . Linguistic inquiry in the science classroom: ‘It is science, but it’s not like a science problem in a book’ (Working Papers in Linguistics) , Cambridge, MA : MIT Press .
  • Justi , R. S. and Gilbert , J. K. 2002a . Modelling, teachers’ views on the nature of modeling, and implications for the education of modelers . International Journal of Science Education , 24 (4) : 369 – 388 .
  • Justi , R. S. and Gilbert , J. K. 2002b . Science teachers’ knowledge about and attitudes towards the use of models and modeling in learning science . International Journal of Science Education , 24 (12) : 1273 – 1292 .
  • Larkin , J. and Simon , H. 1987 . Why a diagram is (sometimes) worth ten thousand words . Cognitive Science , 11 : 65 – 100 .
  • Lederman , N. G. 1992 . Students’ and teachers’ conceptions of the nature of science: A review of the research . Journal of Research in Science Teaching , 29 (4) : 331 – 359 .
  • Lederman , N. G. 2006 . “ Syntax of nature of science within inquiry and science instruction ” . In Scientific inquiry and nature of science: Implications for teaching, learning, and teacher education , Edited by: Flick , L. B. and Lederman , N. G. 301 – 317 . Dordrecht : Springer .
  • Levy , S. T. , Kim , H. and Wilensky , U. Connected Chemistry—A study of secondary students using agent‐based models to learn chemistry . Paper presented at the annual meeting of the American Educational Research Association . San Diego, CA. April .
  • Levy , S. T. and Wilensky , U. 2009 . Crossing levels and representations: The Connected Chemistry (CC1) curriculum . Journal of Science Education and Technology , 18 (3) : 224 – 242 .
  • Linn , M. , Songer , N. B. , Lewis , E. L. and Stern , J. 1991 . “ Using technology to teach thermodynamics: Achieving integrated understanding ” . In Advanced technologies in the teaching of mathematics and science , Edited by: Ferguson , D. L. 5 – 60 . Berlin : Springer‐Verlag .
  • Linn , M. C. and Muilenberg , L. 1996 . Creating lifelong science learners: What models form a firm foundation? . Educational Researcher , 25 (5) : 18 – 24 .
  • Lowe , R. 1989 . Scientific diagrams: How well can students read them? What research says to the science and mathematics teacher , Vol. 3 , Perth : Key Centre for School Science and Mathematics, Curtin University of Technology .
  • Lowe , R. 1993 . Constructing a mental representation from an abstract technical diagram . Learning & Instruction , 3 : 157 – 179 .
  • Muis , K. , Bendixen , L. and Haerle , F. 2006 . Domain‐generality and domain‐specificity in personal epistemology research: Philosophical and empirical reflections in the development of a theoretical framework . Educational Psychology Review , 18 : 3 – 54 .
  • NRC (National Research Council) . 1996 . National science education standards: 1996 , Washington, DC : National Academy Press .
  • Op’t Eynde , P. , De Corte , E. and Verschaffel , L. 2006 . Epistemic dimensions of students’ mathematics‐related belief systems . International Journal of Educational Research , 45 (1–2) : 57 – 70 .
  • Paulsen , M. B. and Wells , C. T. 1998 . Domain differences in the epistemological beliefs of college students . Research in Higher Education , 39 (4) : 365 – 384 .
  • Perkins , D. , Jay , E. and Tishman , S. 1993 . Teaching thinking: From ontology to education . Educational Psychologist , 28 (1) : 67 – 85 .
  • Perry , W. G. Jr. 1970 . Forms of intellectual and ethical development in the college years: A scheme , New York, Holt, Rinehart : and Winston .
  • Posner , G. J. , Strike , K. A. , Hewson , P. W. and Gertzog , W. A. 1982 . Accommodation of a scientific conception: Toward a theory of conceptual change . Science Education , 66 (2) : 211 – 227 .
  • Raghavan , K. and Glaser , R. 1995 . Model‐based analysis and reasoning in science: The MARS curriculum . Science Education , 79 (1) : 37 – 61 .
  • Royce , J. R. and Mos , L. P. 1980 . Manual: Psycho‐epistemological profile , Alberta : Center for Advanced Study in Theoretical Psychology, University of Alberta .
  • Sao Pedro , M. , Gobert , J. , Beck , J. and Heffernan , N. Can an intelligent tutor teach the control of variables strategy for scientific inquiry? . Paper presented at the Cognitive Science Society Conference . Amsterdam. July .
  • Schommer‐Aikins , M. , Duell , O. and Barker , S. 2003 . Epistemological beliefs across domains using Biglan’s classification of academic disciplines . Research in Higher Education , 44 (3) : 347 – 366 .
  • Schwarz , C. Is there a connection? The role of meta‐modeling knowledge in learning with models . Paper presented at the International Conference of the Learning Sciences . April . Seattle, WA
  • Schwarz , C. and White , B. What do seventh grade students understand about scientific modeling from a model‐oriented physics curriculum? . Paper presented at the National Association for Research in Science Teaching . Boston. March .
  • Schwarz , C. and White , B. 2005 . Meta‐modeling knowledge: Developing students’ understanding of scientific modeling . Cognition and Instruction , 23 (2) : 165 – 205 .
  • Schwarz , C. V. and Gwekwerere , Y. N. 2006 . Using a guided inquiry and modeling instructional framework (EIMA) to support pre‐service K‐8 science teaching . Science Education , 91 (1) : 158 – 186 .
  • Schwarz , C. V. , Meyer , K. and Sharma , A. 2007 . Technology, pedagogy, and epistemology: Opportunities and challenges of using computer modeling and simulation tools in elementary science methods . Journal of Science Teacher Education , 18 (2) : 243 – 269 .
  • Sengupta , P. and Wilensky , U. 2009 . Learning electricity with NIELS: Thinking with electrons and thinking in levels . International Journal of Computers for Mathematical Learning , 14 (1) : 21 – 50 .
  • Sins , P. H. M. , Savelsbergh , E. R. , van Joolingen , W. and van Hout‐Wolters , B. 2009 . The relation between students’ epistemological understanding of computer models and their cognitive processing in a modeling task . International Journal of Science Education , 31 (9) : 1205 – 1229 .
  • Smith , C. , Maclin , D. , Houghton , C. and Hennessy , G. 2000 . Sixth‐grade students’ epistemologies of science: The impact of school science experiences on epistemological development . Cognition and Instruction , 18 (3) : 349 – 422 .
  • Smith , C. and Wenk , L. The relation among three aspects of college freshman’s epistemology of science . Paper presented at the National Association for Research in Science Teaching . Philadelphia. March .
  • Smith , C. and Wenk , L. 2006 . Relations among three aspects of first‐year college students’ epistemologies of science . Journal of Research in Science Teaching , 43 (8) : 747 – 785 .
  • Snir , J. , Smith , C. and Grosslight , L. 1988 . Not the whole truth: An essay on building a conceptually enhanced computer simulation for science teaching (Tech. Rep. No. TR 88‐18) , Cambridge, MA : Educational Technology Center, Harvard Graduate School of Education .
  • Songer , N. B. and Linn , M. C. 1991 . How do students’ views of science influence knowledge integration? . Journal of Research in Science Teaching , 28 (9) : 761 – 784 .
  • Stieff , M. and Wilensky , U. ChemLogo: An emergent modeling environment for teaching and learning chemistry . Keeping learning complex: The proceedings of the fifth international conference of the learning sciences (ICLS) . Edited by: Bell , P. , Stevens , R. and Satwicz , T. pp. 451 – 458 . Mahwah, NJ : Lawrence Erlbaum .
  • Stieff , M. and Wilensky , U. 2003 . Connected Chemistry—Incorporating interactive simulations into the chemistry classroom . Journal of Science Education & Technology , 12 (3) : 285 – 302 .
  • Strike , K. and Posner , G. 1985 . “ A conceptual change view of learning and understanding ” . In Cognitive structure and conceptual change , Edited by: West , L. H. T. and Pines , A. L. 189 – 210 . New York : Academic Press .
  • Treagust , D. , Chittleborough , G. and Mamiala , T. Learning introductory organic chemistry: Secondary students’ understanding of the role of models and the development of scientific ideas . Paper presented at the American Educational Research Association . Seattle, WA. April .
  • Treagust , D. , Chittleborough , G. and Mamiala , T. 2002 . Students’ understanding of the role of scientific models in learning science . International Journal of Science Education , 24 (4) : 357 – 368 .
  • van Driel , J. H. and Verloop , N. 1999 . Teachers’ knowledge of models and modeling in science . International Journal for Science Education , 21 (11) : 1141 – 1153 .
  • Wenk , L. and Smith , C. The impact of first‐year college science courses on epistemological thinking: A comparative study . Paper presented at the National Association of Science Teachers . Vancouver. April .
  • White , B. and Frederiksen , J. 1990 . Causal model progressions as a foundation for intelligent learning environments . Artificial Intelligence , 24 : 99 – 157 .
  • Wilensky , U. 1999a . NetLogo , Evanston, IL : Center for Connected Learning and Computer‐Based Modeling, Northwestern University . Retrieved March 30, 2010, from http://ccl.northwestern.edu/netlogo
  • Wilensky , U. 1999b . “ GasLab: An extensible modeling toolkit for exploring micro‐and‐macro‐views of gases ” . In Computer modeling and simulation in science education , Edited by: Roberts , N. , Feurzeig , W. and Hunter , B. 151 – 178 . Berlin : Springer‐Verlag .
  • Wilensky , U. Modeling nature’s emergent patterns with multi‐agent languages . Paper presented at the Eurologo 2001 Conference . Linz, Austria. Retrieved March 30, 2010, from http://ccl.northwestern.edu/papers/MEE/
  • Wilensky , U. and Reisman , K. 2006 . Thinking like a wolf, a sheep or a firefly: Learning biology through constructing and testing computational theories . Cognition and Instruction , 24 (2) : 171 – 209 .

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