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Basé sur des recherches validées en classe, La rétroaction efficace propose des suggestions pratiques et des exemples concrets qui montrent la voie à suivre pour avoir un impact positif sur les ap­prentissages des élèves du primaire et du secondaire. En aidant les élèves à percevoir la direction qu’ils doivent emprunter pour améliorer leur ren­dement, l’enseignant leur permet de s’approprier leur apprentissage. Le présent ouvrage décrit les stratégies utiles à l’application d’une rétroaction efficace, aussi bien à l’oral qu’à l’écrit. Ces stratégies peuvent varier selon le destinataire, le moment de la rétroaction, son ampleur et la démarche employée. De même, il aborde de façon détaillée les éléments qui influent sur le contenu de la rétroaction, à savoir le sujet abordé, les points de comparaisons utilisés, le rôle de la rétroaction, sa clarté et sa spécificité, le ton utilisé ainsi que la valeur affective des mots. L’auteure indique aussi les types de rétroactions les plus appropriés selon les matières et les différenciations possibles selon les besoins des élèves.

Teacher-student relationships --- Communication in education --- Feedback (Psychology)

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Turbofan engines. --- Control systems design. --- Engine control. --- Feedback control. --- Flight tests. --- Real time operation.

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Supersonic inlets. --- Feedback control. --- Internal compression inlets. --- Active control. --- Control systems design. --- Design analysis. --- Transfer functions. --- Functional design specifications.

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Supersonic flight. --- Control systems design. --- Supersonic transports. --- Specifications. --- Supersonic inlets. --- Dynamic models. --- Loops. --- Feedback control. --- Supersonic wind tunnels. --- Flow distribution. --- Computational fluid dynamics.

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This book introduces a comprehensive methodology for adaptive control design of parabolic partial differential equations with unknown functional parameters, including reaction-convection-diffusion systems ubiquitous in chemical, thermal, biomedical, aerospace, and energy systems. Andrey Smyshlyaev and Miroslav Krstic develop explicit feedback laws that do not require real-time solution of Riccati or other algebraic operator-valued equations. The book emphasizes stabilization by boundary control and using boundary sensing for unstable PDE systems with an infinite relative degree. The book also presents a rich collection of methods for system identification of PDEs, methods that employ Lyapunov, passivity, observer-based, swapping-based, gradient, and least-squares tools and parameterizations, among others. Including a wealth of stimulating ideas and providing the mathematical and control-systems background needed to follow the designs and proofs, the book will be of great use to students and researchers in mathematics, engineering, and physics. It also makes a valuable supplemental text for graduate courses on distributed parameter systems and adaptive control.

Adaptive control systems. --- Differential equations, Parabolic. --- Distributed parameter systems. --- Self-adaptive control systems --- Systems, Distributed parameter --- Parabolic differential equations --- Parabolic partial differential equations --- Artificial intelligence --- Feedback control systems --- Self-organizing systems --- Control theory --- Engineering systems --- System analysis --- Differential equations, Partial