In Order to Learn - How the sequence of topics influences learning (Hardcover)

Order affects the results you get: Different orders of presenting material can lead to qualitatively and quantitatively different learning outcomes. These differences occur in both natural and artificial learning systems. In Order to Learn shows how order effects are crucial in human learning, instructional design, machine learning, and both symbolic and connectionist cognitive models. Each chapter explains a different aspect of how the order in which material is presented can strongly influence what is learned by humans and theoretical models of learning in a variety of domains. In addition to data, models are provided that predict and describe order effects and analyze how and when they will occur. The introductory and concluding chapters compile suggestions for improving learning through better sequences of learning materials, including how to take advantage of order effects that encourage learning and how to avoid order effects that discourage learning. Each chapter also highlights questions that may inspire further research. Taken together, these chapters show how order effects in different areas can and do inform each other. In Order to Learn will be of interest to researchers and students in cognitive science, education, machine learning.

General

Imprint:	Oxford UniversityPress
Country of origin:	United States
Series:	Oxford Series on Cognitive Models and Architectures
Release date:	August 2007
First published:	July 2007
Editors:	Frank E. Ritter (Associate Professor of Information Sciences) • Josef Nerb (Professor of Psychology) • Erno Lehtinen (Professor of Education) • Timothy O'Shea (Principal)
Dimensions:	260 x 190 x 21mm (L x W x T)
Format:	Hardcover
Pages:	256
ISBN-13:	978-0-19-517884-5
Categories:	Books > Social sciences > Psychology > Experimental psychology Books > Social sciences > Psychology > Cognition & cognitive psychology > Learning Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	0-19-517884-X
Barcode:	9780195178845

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!