Dimensional analysis and predictive models in problem solving

dc.contributor.authorTsaparlis, G.en
dc.date.accessioned2015-11-24T16:56:16Z
dc.date.available2015-11-24T16:56:16Z
dc.identifier.issn0950-0693-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10409
dc.rightsDefault Licence-
dc.subjectchemistry problemsen
dc.subjectpascual-leoneen
dc.subjectm-demanden
dc.subjectstudent performanceen
dc.subjectscience-educationen
dc.subjectworking-memoryen
dc.subjectm-spaceen
dc.subjectmanipulationen
dc.subjectcapacityen
dc.subjectlectureen
dc.titleDimensional analysis and predictive models in problem solvingen
heal.abstractDimensional analysis is used for the determination of the information-processing demand (M-demand) of a problem. A simple predictive model for multi-step problems is proposed, and its predictions are checked against actual data. It is found that this model is successful in some cases, and unsuccessful in others even in cases of an M-demand of 2. The effect of Various psychological measures of the solvers is examined. A major predictive model for problem solving in science education is the working-memory overload hypothesis of Johnstone and El-Banna. This model is based on the working-memory theory, as well as on Pascual-Leone's m-space theory, and predicts that a subject will not be successful in solving a problem, unless the problem has an M-demand which is less or equal to the subject's M-capacity. Mechanisms that may block the solution or that may lead to violation of the model are examined, and some necessary conditions for its successful application are discussed in the light of research data.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.primary10.1080/0950069980200306-
heal.identifier.secondary<Go to ISI>://000072234100006-
heal.identifier.secondaryhttp://www.tandfonline.com/doi/pdf/10.1080/0950069980200306-
heal.journalNameInternational Journal of Science Educationen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate1998-
heal.publisherRoutledgeen
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Χημείαςel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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