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dc.contributor.advisorJohn Sterman.en_US
dc.contributor.authorBehrens, Nicholas Aen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2007-03-12T17:54:32Z
dc.date.available2007-03-12T17:54:32Z
dc.date.copyright2006en_US
dc.date.issued2006en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/36796
dc.descriptionThesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.en_US
dc.descriptionIncludes bibliographical references (leaf 50).en_US
dc.description.abstractAs the world becomes increasingly connected, traditional problem solving and decision-making skills becomes less effective. Complex systems found in nature and society exhibit long time delays between cause and effect, feedback, and non-linearity making it difficult to reason effectively about system behavior. Recent studies have shown even highly educated graduate students lack basic systems thinking skills indicating a need for improved system dynamics education. This paper describes the development of a two new tools for improving system dynamics education: a stock-flow simulator that allows users to experiment with simple stock-flow systems, and a web application framework for building system dynamics surveys. This framework is used to build a survey capable of evaluating systems thinking skills and compare the effectiveness of online teaching methods.en_US
dc.description.statementofresponsibilityby Nicholas A. Behrens.en_US
dc.format.extent67 leavesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleImproving system dynamics teaching using online surveys and exercisesen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.and S.B.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc79637972en_US


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