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In Order to Learn: How the Sequence of…
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In Order to Learn: How the Sequence of Topics Influences Learning (Oxford…

by Frank E. Ritter

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Current models of instruction often fail students by lacking any coherent approach to the order, scope, and depth of concept introduction, reinforcement, and mastery. Ritter et al. have compiled a sequence of essays that examine the role of sequence and explores models of cognitive comprehension that positively impact learning. The chapters themselves are sequenced in a manner that empowers the reader to engage the range of topics included in the book according to their own interests and needs. While the book is at times a difficult read for me, I do find insights in the use of alternative instructional models that can be applicable for educators at the college level. This reading, combined with some examination of brain-based learning, will hopefully bear a replicable model for reaching more students by rearranging how we approach curriculum. (Stephen) ( )
  DoraBadollet | Mar 1, 2008 |
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Amazon.com Product Description (ISBN 019517884X, 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.

(retrieved from Amazon Thu, 12 Mar 2015 18:05:32 -0400)

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