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Developing a learning progression for scientific modeling: Making scientific modeling accessible and meaningful for learners

dc.contributor.authorSchwarz, Christina V.en_US
dc.contributor.authorReiser, Brian J.en_US
dc.contributor.authorDavis, Elizabeth A.en_US
dc.contributor.authorKenyon, Lisaen_US
dc.contributor.authorAchér, Andresen_US
dc.contributor.authorFortus, Daviden_US
dc.contributor.authorShwartz, Yaelen_US
dc.contributor.authorHug, Barbaraen_US
dc.contributor.authorKrajcik, Joseph S.en_US
dc.date.accessioned2009-08-12T15:36:11Z
dc.date.available2010-10-05T18:27:29Zen_US
dc.date.issued2009-08en_US
dc.identifier.citationSchwarz, Christina V.; Reiser, Brian J.; Davis, Elizabeth A.; Kenyon, Lisa; AchÉr, Andres; Fortus, David; Shwartz, Yael; Hug, Barbara; Krajcik, Joe (2009). "Developing a learning progression for scientific modeling: Making scientific modeling accessible and meaningful for learners." Journal of Research in Science Teaching 46(6): 632-654. <http://hdl.handle.net/2027.42/63556>en_US
dc.identifier.issn0022-4308en_US
dc.identifier.issn1098-2736en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/63556
dc.description.abstractModeling is a core practice in science and a central part of scientific literacy. We present theoretical and empirical motivation for a learning progression for scientific modeling that aims to make the practice accessible and meaningful for learners. We define scientific modeling as including the elements of the practice (constructing, using, evaluating, and revising scientific models) and the metaknowledge that guides and motivates the practice (e.g., understanding the nature and purpose of models). Our learning progression for scientific modeling includes two dimensions that combine metaknowledge and elements of practice— scientific models as tools for predicting and explaining , and models change as understanding improves . We describe levels of progress along these two dimensions of our progression and illustrate them with classroom examples from 5th and 6th graders engaged in modeling. Our illustrations indicate that both groups of learners productively engaged in constructing and revising increasingly accurate models that included powerful explanatory mechanisms, and applied these models to make predictions for closely related phenomena. Furthermore, we show how students engaged in modeling practices move along levels of this progression. In particular, students moved from illustrative to explanatory models, and developed increasingly sophisticated views of the explanatory nature of models, shifting from models as correct or incorrect to models as encompassing explanations for multiple aspects of a target phenomenon. They also developed more nuanced reasons to revise models. Finally, we present challenges for learners in modeling practices—such as understanding how constructing a model can aid their own sensemaking, and seeing model building as a way to generate new knowledge rather than represent what they have already learned. © 2009 Wiley Periodicals, Inc. J Res Sci Teach 46: 632–654, 2009en_US
dc.format.extent320171 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherWiley Subscription Services, Inc., A Wiley Companyen_US
dc.subject.otherEducationen_US
dc.titleDeveloping a learning progression for scientific modeling: Making scientific modeling accessible and meaningful for learnersen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelEducationen_US
dc.subject.hlbsecondlevelManagementen_US
dc.subject.hlbsecondlevelScience (General)en_US
dc.subject.hlbsecondlevelWomen's and Gender Studiesen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelBusinessen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelHumanitiesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumSchool of Education, University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationumSchool of Education, University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationotherCollege of Education, Michigan State University, Erickson Hall, East Lansing, Michigan 48824 ; College of Education, Michigan State University, Erickson Hall, East Lansing, Michigan 48824.en_US
dc.contributor.affiliationotherLearning Sciences, Northwestern University, Evanston, Illinoisen_US
dc.contributor.affiliationotherWright State University, Dayton, Ohioen_US
dc.contributor.affiliationotherLearning Sciences, Northwestern University, Evanston, Illinoisen_US
dc.contributor.affiliationotherDepartment of Science Teaching, Weizmann Institute of Science, Rehovot, Israelen_US
dc.contributor.affiliationotherDepartment of Science Teaching, Weizmann Institute of Science, Rehovot, Israelen_US
dc.contributor.affiliationotherCollege of Education, University of Illinois, Champaign, Illinoisen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/63556/1/20311_ftp.pdf
dc.identifier.doi10.1002/tea.20311en_US
dc.identifier.sourceJournal of Research in Science Teachingen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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