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dc.contributor.authorAnderson, Emma
dc.contributor.authorKoehler-Yom, Jessica
dc.contributor.authorEvans, Chad
dc.contributor.authorPark, Miyoung
dc.contributor.authorYoon, Susan A.
dc.contributor.authorSheldon, Joshua
dc.contributor.authorSchoenfeld, Ilana
dc.contributor.authorWendel, Daniel J
dc.contributor.authorScheintaub, Hal
dc.contributor.authorKlopfer, Eric
dc.date.accessioned2017-02-02T21:17:34Z
dc.date.available2017-07-02T05:00:03Z
dc.date.issued2016-09
dc.date.submitted2015-04
dc.identifier.issn0020-4277
dc.identifier.issn1573-1952
dc.identifier.urihttp://hdl.handle.net/1721.1/106838
dc.description.abstractThe recent next generation science standards in the United States have emphasized learning about complex systems as a core feature of science learning. Over the past 15 years, a number of educational tools and theories have been investigated to help students learn about complex systems; but surprisingly, little research has been devoted to identifying the supports that teachers need to teach about complex systems in the classroom. In this paper, we aim to address this gap in the literature. We describe a 2-year professional development study in which we gathered data on teachers’ abilities and perceptions regarding the delivery of computer-supported complex systems curricula. We present results across the 2 years of the project and demonstrate the need for particular instructional supports to improve implementation efforts, including providing differentiated opportunities to build expertise and addressing teacher beliefs about whether computational-model construction belongs in the science classroom. Results from students’ classroom experiences and learning over the 2 years are offered to further illustrate the impact of these instructional supports.en_US
dc.description.sponsorshipNational Science Foundation (U.S.). Discovery Research K– 12 (Grant 1019228)en_US
dc.publisherSpringer Netherlandsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s11251-016-9388-7en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceSpringer Netherlandsen_US
dc.titleTeaching about complex systems is no simple matter: building effective professional development for computer-supported complex systems instructionen_US
dc.typeArticleen_US
dc.identifier.citationYoon, Susan A. et al. “Teaching about Complex Systems Is No Simple Matter: Building Effective Professional Development for Computer-Supported Complex Systems Instruction.” Instructional Science (2016): n. pag.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Data, Systems, and Societyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planningen_US
dc.contributor.mitauthorSheldon, Joshua
dc.contributor.mitauthorSchoenfeld, Ilana
dc.contributor.mitauthorWendel, Daniel J
dc.contributor.mitauthorScheintaub, Hal
dc.contributor.mitauthorKlopfer, Eric
dc.relation.journalInstructional Scienceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2017-02-02T15:19:56Z
dc.language.rfc3066en
dc.rights.holderSpringer Science+Business Media Dordrecht
dspace.orderedauthorsYoon, Susan A.; Anderson, Emma; Koehler-Yom, Jessica; Evans, Chad; Park, Miyoung; Sheldon, Josh; Schoenfeld, Ilana; Wendel, Daniel; Scheintaub, Hal; Klopfer, Ericen_US
dspace.embargo.termsNen
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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