956 resultados para Approche inductive


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Cette recherche-action vise à déterminer par quels moyens les enseignants de français peuvent contribuer à favoriser le transfert de connaissances grammaticales en situation d’écriture chez leurs élèves de niveau secondaire. Nous avons d’abord constaté que, chez les élèves du secondaire en général, les accords sont plus facilement réussis en contexte d’exercice qu’en contexte de production écrite. Sur la base de propositions didactiques pertinentes concernant l’orthographe grammaticale et/ou le transfert de connaissances, propositions fondées notamment sur une approche inductive, centrée sur le questionnement de l’élève et sur l’analyse de phrases, nous avons conçu et élaboré une séquence didactique portant sur l’accord du participe passé employé avec être ou avec un verbe attributif. Dans un deuxième temps, nous l’avons mise à l’essai auprès d’un groupe d’élèves de troisième secondaire, puis nous en avons vérifié les effets à l’aide d’un prétest et d’un posttest composés respectivement d’un questionnaire, d’un exercice et d’une production écrite. Les résultats révélés par l’analyse des données démontrent l’efficacité de la série de cours. En effet, le taux moyen de réussite des accords en contexte d’exercice passe de 53% à 75%, alors que, pour les productions écrites, il est de 48% avant la série de cours contre 82% après. Les questionnaires recueillis nous portent à attribuer en partie cette forte augmentation du taux de réussite des accords en contexte de production écrite au bon déroulement du processus de transfert grâce au travail effectué en cours de séquence sur les connaissances conditionnelles.

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SOMMAIRE Les élèves du primaire éprouvent de la difficulté à transférer, dans leurs productions écrites, les notions d’orthographe grammaticale enseignées en classe de français. La présente recherche souhaite vérifier si l’enseignement de l’identification des classes de mots par la méthode inductive jumelée aux approches spécifique ou intégrée permettrait aux élèves de repérer plus efficacement les déterminants, les noms, les adjectifs et les verbes dans leurs propres productions écrites et, par la suite, d’effectuer correctement les accords grammaticaux. La cueillette de données s’effectue à l’aide de six productions écrites rédigées en autant de semaines par les élèves de trois groupes-classes de la 2e année du 2e cycle du primaire. Les résultats des groupes expérimentaux (un expérimentant l’approche intégrée et l’autre, l’approche spécifique) sont comparés à ceux obtenus par un groupe de contrôle. À la fin de l’expérimentation, les résultats se sont maintenus, entre le prétest et le post-test, en ce qui concerne l’identification des déterminants, des noms et des adjectifs pour les trois groupes. Ils ont cependant diminué pour ce qui est de l’identification des verbes. En ce qui concerne les accords grammaticaux, tous les groupes ont amélioré leurs accords déterminant-nom, le groupe contrôle a présenté de meilleurs résultats pour l’accord de l’adjectif et seul le groupe expérimentant l’approche spécifique a réussi à maintenir ses résultats concernant l’accord du verbe, alors que les deux autres groupes ont obtenu des résultats plus faibles à la fin de l’expérimentation.

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Background: As an increasing number of Taiwanese people live out the final stages of their lives with chronic and complex conditions. Care decisions at the end of life can also be complex, overwhelming and stressful for an individual, family and health professionals. Understanding individuals’ wishes for end-of-life care and factors which influence individuals' decisions is important so that the provision of quality end-of-life care for all can be promoted and ensured.

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Induction is an interesting model of legal reasoning, since it provides a method of capturing initial states of legal principles and rules, and adjusting these principles and rules over time as the law changes. In this article I explain how Artificial Intelligence-based inductive learning algorithms work, and show how they have been used in law to model legal domains. I identify some problems with implementations undertaken in law to date, and create a taxonomy of appropriate cases to use in legal inductive inferencing systems. I suggest that inductive learning algorithms have potential in modeling law, but that the artificial intelligence implementations to date are problematic. I argue that induction should be further investigated, since it has the potential to be an extremely useful mechanism for understanding legal domains.

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In this paper we provide an overview of a number of fundamental reasoning formalisms in artificial intelligence which can and have been used in modelling legal reasoning. We describe deduction, induction and analogical reasoning formalisms, and show how they can be used separately to model legal reasoning. We argue that these formalisms can be used together to model legal reasoning more accurately, and describe a number of attempts to integrate the approaches.

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Typical inductive power transfer (IPT) systems employ two power conversion stages to generate a high-frequency primary current from low-frequency utility supply. This paper proposes a matrix-converter-based IPT system, which employs high-speed SiC devices to facilitate the generation of high-frequency current through a single power conversion stage. The proposed matrix converter topology transforms a three-phase low-frequency voltage system to a high-frequency single-phase voltage, which, in turn, powers a series compensated IPT system. A comprehensive mathematical model is developed and power losses are evaluated to investigate the efficiency of the proposed converter topology. Theoretical results are presented with simulations, which are performed in MATLAB/Simulink, in comparison to a conventional two-stage converter. Experimental evident of a prototype IPT system is also presented to demonstrate the applicability of the proposed concept.

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This paper presents new five-level current-source inverters (CSIs) with voltage/current buck-boost capability, unlike existing five-level CSIs where only voltage-boost operation is supported. The proposed inverters attain self-inductive-current-balancing per switching cycle at their dc front ends without having to include additional balancing hardware or complex control manipulation. The inverters can conveniently be controlled by using the well-established phase-shifted carrier modulation scheme with only two additional linear references and a mapping logic table needed. Existing modulators can therefore be conveniently retrofitted for controlling the presented inverters. By appropriately coordinating the inverter gating signals, their implementations can be realized by using the least number of components without degrading performance. These enhanced features of the inverters have already been verified in simulation and experimentally using a scaled-down laboratory platform.

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The effect of adipose tissue on inductive adipogenesis within Matrigel (BD Biosciences) was assessed by using a murine chamber model containing a vascular pedicle. Three-chamber configurations that varied in the access to an adipose tissue source were used, including sealed- and open-chamber groups that had no access and limited access, respectively, to the surrounding adipose tissue, and a sealed-chamber group in which adipose tissue was placed as an autograft. All groups showed neovascularization, but varied in the amount of adipogenesis seen in direct relation to their access to preexisting adipose tissue: open chambers showed strong adipogenesis, whereas the sealed chambers had little or no adipose tissue; adipogenesis was restored in the autograft chamber group that contained 2- to 5-mg fat autografts. These showed significantly more adipogenesis than the sealed chambers with no autograft (p < 0.01). Autografts with 1 mg of fat were capable of producing adipogenesis but did so less consistently than the larger autografts. These findings have important implications for adipose tissue engineering strategies and for understanding de novo production of adipose tissue.

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Bidirectional Inductive Power Transfer (IPT) systems are preferred for Vehicle-to-Grid (V2G) applications. Typically, bidirectional IPT systems consist of high order resonant networks, and therefore, the control of bidirectional IPT systems has always been a difficulty. To date several different controllers have been reported, but these have been designed using steady-state models, which invariably, are incapable of providing an accurate insight into the dynamic behaviour of the system A dynamic state-space model of a bidirectional IPT system has been reported. However, currently this model has not been used to optimise the design of controllers. Therefore, this paper proposes an optimised controller based on the dynamic model. To verify the operation of the proposed controller simulated results of the optimised controller and simulated results of another controller are compared. Results indicate that the proposed controller is capable of accurately and stably controlling the power flow in a bidirectional IPT system.