03422nam 2200793 450 991027974550332120201016235419.02-7606-2847-7979-1-03-651377-02-7606-2312-210.4000/books.pum.14665(CKB)2470000000002087(EBL)3248831(SSID)ssj0000734630(PQKBManifestationID)12278767(PQKBTitleCode)TC0000734630(PQKBWorkID)10742978(PQKB)10629224(CaPaEBR)406336(CaBNvSL)slc00206019(MiAaPQ)EBC3248831(MiAaPQ)EBC4750351(FrMaCLE)OB-pum-14665(oapen)https://directory.doabooks.org/handle/20.500.12854/43459(VaAlCD)20.500.12592/pgsdms(schport)gibson_crkn/2009-12-01/3/406336(PPN)230002137(EXLCZ)99247000000000208720170130h19991999 uy 0freur|n|---|||||txtccrLe Cognitif en didactique des mathématiques /Francois Conne, Gisèle LemoynePresses de l’Université de Montréal1999Montréal, [Ontario] :Presses de l'Université de Montréal,1999.©19991 online resource (371 p.)Éducation et formationDescription based upon print version of record.2-7606-1743-2 Includes bibliographical references.Que peut-on apprendre des conduites des élèves en situation d'enseignement des mathématiques ? Que révèlent les interactions enseignant-élèves ? Ou, pour le dire en termes de didactique, quelle place occupe le cognitif dans les situations d'enseignement ? C'est à cette question, dans les multiples aspects qu'elle peut prendre, que répondent les collaborateurs de cet ouvrage, des didacticiens bien connus de France, du Québec et de Suisse. La première partie offre une synthèse des différentes théories du cognitif, notamment de la théorie des situations. Elle propose diverses modélisations des rapports du cognitif au didactique, qui permettent de mieux en appréhender la complexité. La seconde partie présente et analyse des situations concrètes d'apprentissage et d'enseignement, où ces rapports se trouvent clarifiés et illustrés. Ce livre intéressera, bien sûr, les didacticiens et ceux qui enseignent les mathématiques, mais aussi, plus largement, tous les enseignants qui s'interrogent sur leur pratique.LearningMathematicsStudy and teachingCognitionKnowledge, Theory ofconnaissancepédagogieenseignementcognitionéducationmathématiquesapprentissageLearning.MathematicsStudy and teaching.Cognition.Knowledge, Theory of.510/.71Conne Francois866546Lemoyne GisèleMiAaPQMiAaPQMiAaPQBOOK9910279745503321Le Cognitif en didactique des mathématiques1934164UNINA04413nam 2201081z- 450 991055761250332120220321(CKB)5400000000045277(oapen)https://directory.doabooks.org/handle/20.500.12854/79614(oapen)doab79614(EXLCZ)99540000000004527720202203d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvances in Micro and Nano Manufacturing: Process Modeling and ApplicationsBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (204 p.)3-0365-3271-4 3-0365-3270-6 Micro- and nanomanufacturing technologies have been researched and developed in the industrial environment with the goal of supporting product miniaturization and the integration of new functionalities. The technological development of new materials and processing methods needs to be supported by predictive models which can simulate the interactions between materials, process states, and product properties. In comparison with the conventional manufacturing scale, micro- and nanoscale technologies require the study of different mechanical, thermal, and fluid dynamics, phenomena which need to be assessed and modeled.This Special Issue is dedicated to advances in the modeling of micro- and nanomanufacturing processes. The development of new models, validation of state-of-the-art modeling strategies, and approaches to material model calibration are presented. The goal is to provide state-of-the-art examples of the use of modeling and simulation in micro- and nanomanufacturing processes, promoting the diffusion and development of these technologies.Advances in Micro and Nano ManufacturingHistory of engineering & technologybicsscTechnology: general issuesbicssc3D printingabrasive grainsactive grains numberadditive manufactureadditive manufacturingANSYSbrittle fractureburst processingchip formationconductive maskdiamond turningdimensional uniformityductile-brittle transitionelectrochemical machiningfemtosecond micromachiningfinite element analysisgel microspheresgrinding forcegrinding forcesgrinding temperaturehydrophilic acrylicintraocular lensITAPK9 glasslaser assisted turninglaser-induced periodical surface structureslithography simulationmachining localizationmaterial removal amountmathematical modelMATLABmicro injection moldingmicro topologymicro-groovemicro-injection moldingmicroelectromechanical systemmicromachiningmicrostructureminimum chip thicknessmodular microfluidic systemn/ananogrindingpolishingporous cathodeprosthesesradial ultrasonic rolling electrochemical micromachining (RUR-EMM)rake anglereplicationresponse surface methodology (RSM)spacingstereolithographysubsurface damagesurface roughnesssurface wettabilitytungsten carbideturningwaveguide methodHistory of engineering & technologyTechnology: general issuesMasato Davideedt1319401Lucchetta GiovanniedtMasato DavideothLucchetta GiovanniothBOOK9910557612503321Advances in Micro and Nano Manufacturing: Process Modeling and Applications3033880UNINA