The book is written in the framework of a European collaborative research programme, Learning in Humans and Machines, funded by the European Science Foundation. The book's purpose is to collect papers on learning declarative knowledge and problem solving skills that involve multiple representations such as verbal, graphical and mathematical representations, knowledge at different levels of abstraction (e.g. qualitative and quantitative, specific cases or general models). One of the goals of the research programme is to demonstrate existing and to initiate new collaboration between educational sciences, psychology and machine learning.
The first aim of this book is to give an overview of the state of the art of the topic of learning involving different representations in the form of overview chapters. The book covers approaches to this topic from different perspectives: educational, cognitive modelling and machine learning. It includes both theoretical analyses and studies in application contexts. The second aim of the book is to present current research on these topics and to articulate research issues for future research. This is done in the form of a collection of research papers and two reflective chapters.
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Arthur B. Markman, Department of Psychology, University of Texas
...the volume explores a wide range of important topics that deal with multiple representations, and thus provides a nice introduction to research in this area. This strength must be emphasized, as the coordination of multiple representations is topic that has not received as much attention in cognitive science as it deserves....the book will be of value for researchers who are already well-versed in general issues of representation and are interested in the state of the art in research on the role of multiple representations in education and expert performance....it is clear that expert performance requires the coordination of multiple representations and that the education of future expert performance requires the coordination of multiple representations and that the education of future experts will require understanding of how to teach people to carry out this coordination. There is clearly a gap that must be bridged between current educational systems, in which the use of multiple external representations may actually hamper learning, and expert performance, which is characterised by the ability to shift among different internal representations of a situation. This book will be a valuable resource for psychologists (and educational psychologists) who are interested in these issues.
British Journal of Educational Psychology, Vol 70, Part 1
The book is written in the framework of a European collaborative research programme, Learning in Humans and Machines, funded by the European Science Foundation. The book's purpose is to collect papers on learning declarative knowledge and problem solving skills that involve multiple representations such as verbal, graphical and mathematical representations, knowledge at different levels of abstraction (e.g. qualitative and quantitative, specific cases or general models). One of the goals of the research programme is to demonstrate existing and to initiate new collaboration between educational sciences, psychology and machine learning.
The first aim of this book is to give an overview of the state of the art of the topic of learning involving different representations in the form of overview chapters. The book covers approaches to this topic from different perspectives: educational, cognitive modelling and machine learning. It includes both theoretical analyses and studies in application contexts. The second aim of the book is to present current research on these topics and to articulate research issues for future research. This is done in the form of a collection of research papers and two reflective chapters.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Destinos, gastos y plazos de envíoLibrería: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Alemania
gebundene Ausgabe. Condición: Gut. 360 Seiten; Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 860. Nº de ref. del artículo: 2088472
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Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,950grams, ISBN:9780080433431. Nº de ref. del artículo: 9008207
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Librería: True Oak Books, Highland, NY, Estados Unidos de America
Hardcover. Condición: Good. Estado de la sobrecubierta: No Dust Jacket. Advances In Learning And Instruction Series, 1; Foxing to exterior edge of pages. - Good overall condition. General wear. No major blemishes. No writing. ; - We offer free returns for any reason and respond promptly to all inquiries. Your order will be packaged with care and ship on the same or next business day. Buy with confidence. Nº de ref. del artículo: HVD-26159-OS-0
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Librería: Moraine Books, Ruovesi, Finlandia
Hardcover. Condición: Very Good. 1st Edition. This book provides answers to questions of multiple representations in human reasoning and learning. Computational approaches to learning with multiple representations are introduced and discussed. Finally, the role of multiple representations in teaching is addressed. **** Cover corners slightly dented, otherwise condition is very nice. Previous owner's name on the flyleaf. 360 pp. Nº de ref. del artículo: 1001
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HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: FW-9780080433431
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Condición: New. 1998. Illustrated. Hardcover. . . . . . Nº de ref. del artículo: V9780080433431
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Librería: Revaluation Books, Exeter, Reino Unido
Hardcover. Condición: Brand New. 1st edition. 360 pages. 10.00x7.00x1.00 inches. In Stock. This item is printed on demand. Nº de ref. del artículo: __008043343X
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Condición: New. Nº de ref. del artículo: 634340-n
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