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dc.contributor.authorTouma, Georges
dc.date.accessioned2019-09-23T12:44:50Z
dc.date.available2019-09-23T12:44:50Z
dc.date.created2018-06-29 23:06
dc.date.issued2010-05-14
dc.identifieroai:ojs.ejournal.library.mcgill.ca:article/3078
dc.identifierhttp://mje.mcgill.ca/article/view/3078
dc.identifier.urihttp://hdl.handle.net/20.500.12424/2373
dc.description.abstractRÉSUMÉ.. Récemment, nous avons proposé une nouvelle méthode de Régression Graphico-Statistique (RGS) qui permet de produire le modèle mathématique d’un phénomène scientifique (Touma, 2006). De surcroît, les résultats de cette Recherche et Développement technologique (R & D) en éducation démontrent que les étudiants ont facilement intégré la méthode RGS lors d’un processus de modélisation scientifique. Ces résultats révèlent aussi qu’en utilisant cette méthode, les étudiants comprennent mieux le rationnel algébrique sous-jacent à la modélisation scientifique qu’avec une méthode traditionnelle (moindres carrés de Gauss-Legendre) utilisée de manière automatique dans les calculatrices programmables et les tableurs. A DIDACTIC STUDY ON THE ALGEBRAIC MODELING OF PHYSICAL PHENOMENA ABSTRACT.  We recently proposed a new method of Graphico-Statistics Regression (GSR) which makes it possible to produce the mathematical model of a scientific phenomenon (Touma, 2006). The results of this technological research and development (R&D) in education show that students were easily able to use GSR during the scientific modeling process. These results also show that this method helps students have a better understanding of the algebraic rational underlying scientific modeling then a traditional method such as Gauss-Legendre’s least squares used in programmable calculators and spreadsheets. DIDACTIC STUDY ON ALGEBRAIC MODELING OF PHYSICAL PHENOMENAWe recently proposed a new method of Graphico-Statistics Regression (GSR) which makes it possible to produce the mathematical model of a scientific phenomenon (Touma, 2006). The results of this technological research and development (R&D) in education show that the students easily integrated it during the process of scientific modeling. These results also reveal that by using this method, the students understand its algebraic rational better then with the traditional method (least squares of Gauss-Legendre) used in an automatic way in programmable calculators and spreadsheets.    
dc.format.mediumapplication/pdf
dc.language.isoeng
dc.publisherArray
dc.relation.ispartofhttp://mje.mcgill.ca/article/view/3078/4462
dc.sourceMcGill Journal of Education / Revue des sciences de l'éducation de McGill; Vol 45, No 1 (2010)
dc.subjectModélisation algébrique
dc.subjectsciences expérimentales
dc.subjectrégression graphico-statistique
dc.subjectrecherche et développement technologique
dc.subjectécart-type
dc.subjectmoindres carrés
dc.titleÉTUDE DIDACTIQUE SUR LA MODÉLISATION ALGÉBRIQUE DES PHÉNOMÈNES PHYSIQUES
dc.typeinfo:eu-repo/semantics/article
ge.collectioncode0024-9033
ge.dataimportlabelOAI metadata object
ge.identifier.legacyglobethics:14748265
ge.identifier.permalinkhttps://www.globethics.net/gel/14748265
ge.lastmodificationdate2018-06-29 23:06
ge.lastmodificationuseradmin@pointsoftware.ch (import)
ge.submissions0
ge.oai.exportid149766
ge.oai.repositoryid100447
ge.oai.setnameArticles
ge.oai.setspecMJE:ART
ge.oai.streamid2
ge.setnameGlobeEthicsLib
ge.setspecglobeethicslib
ge.linkhttp://mje.mcgill.ca/article/view/3078


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