Learning multiple representations (62 risultati)

Hardcover. Condizione: Good. 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.…

Condizione: New.

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Hardcover. Condizione: 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.…

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. pp. 240.

Gebunden. Condizione: New.

Condizione: New.

Hardcover. Condizione: New. In shrink wrap. Looks like an interesting title.

Paperback. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. pp. 622.

Condizione: New.

Condizione: New.

Condizione: New. pp. 622.

Condizione: As New. Unread book in perfect condition.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: New. In English.

Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: New. 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.…

Condizione: New. pp. 622.

Condizione: New.

Condizione: New. pp. 376.

Condizione: New. pp. 376 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Condizione: New. 2020. 1st Edition. paperback. . . . . .

Condizione: New. In English.

Hardback. Condizione: New. 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.…