9780195178845 - in order to learn: how the sequence of topics influences learning (oxford series on cognitive models and architectures) (3 Ergebnisse)

Sprache: Englisch
Verlag: Oxford University Press, 2007
Serie: Oxford Series on Cognitive Models and Architectures, Buch 2 von 13. Buch 2 von 13 - Oxford Series on Cognitive Models and Architectures
- Hardcover
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In Order to Learn: How the sequence of topics influences learning: 2 (Oxford Series on Cognitive Models and Architectures)
. Ed(s): Ritter, Frank E.; Nerb, Josef; Lehtinen, Erno; O'Shea, Timothy
Sprache: Englisch
Verlag: OUP USA, 2007
Serie: Oxford Series on Cognitive Models and Architectures, Buch 2 von 13. Buch 2 von 13 - Oxford Series on Cognitive Models and Architectures
- Hardcover
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Zustand: New. The order that material, for both facts and skills, is presented or explored by a learner can influence what is learned, how fast performance increases, and sometimes, even that the material is learned at all. This volume explores some of the foundational topics in this area of intersection between psychology, mach…ine learning, and others. Editor(s): Ritter, Frank E.; Nerb, Josef; Lehtinen, Erno; O'Shea, Timothy. Series: Advances in Cognitive Models and Architectures S. Num Pages: 256 pages, 72 line illustrations. BIC Classification: JML; JMRL; UYF; UYQM. Category: (P) Professional & Vocational. Dimension: 263 x 179 x 20. Weight in Grams: 634. . 2007. Illustrated. hardcover. . . . . Books ship from the US and Ireland.

Sprache: Englisch
Verlag: OXFORD UNIV PR, 2007
Serie: Oxford Series on Cognitive Models and Architectures, Buch 2 von 13. Buch 2 von 13 - Oxford Series on Cognitive Models and Architectures
- Hardcover
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Zustand: Gut. Zustand: Gut | Seiten: 256 | Sprache: Englisch | Produktart: Bücher | The order that material, for both facts and skills, is presented or explored by a learner can strongly influence what is learned, how fast performance increases, and sometimes, even that the material is learned at all. In this volume, the contrib…utors argue that these effects are morepervasive and important than they have been treated. They explore some of the foundational topics in this area of intersection between psychology, machine learning, AI, cognitive modeling, education, and instructional design. They include case studies and present numerous questions that will lead tofurther research projects and provide food for thought for professionals working in these disciplines.