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In Order to LearnHow the sequence of topics influences learning$
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Frank E. Ritter, Josef Nerb, Erno Lehtinen, and Timothy O'Shea

Print publication date: 2007

Print ISBN-13: 9780195178845

Published to Oxford Scholarship Online: April 2010

DOI: 10.1093/acprof:oso/9780195178845.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2020. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 27 May 2020

Rules of Order: Process Models of Human Learning

Rules of Order: Process Models of Human Learning

(p.57) Chapter 4 Rules of Order: Process Models of Human Learning
In Order to Learn

Josef Nerb

Frank E. Ritter

Pat Langley

Oxford University Press

Science is concerned not only with data, but also with models or theories that explain those data. Because human cognition is dynamic and involves change over time, accounts of cognition often take the form of process models, which are sometimes called cognitive models. This chapter reviews the form such models have taken and their relation to order effects in learning. It begins by discussing the connection between artificial intelligence (AI) systems, including those from machine learning and computational models of human behavior, including some illustrations of the latter. It presents a computational model of order effects on a cognitive task, cast within a particular but simplified theoretical framework. It then explores more broadly the possible sources of order effects within such models and then briefly considers an alternative approach that models human behavior at a more abstract level. The chapter closes with some open problems in the area of modeling order effects and a charge to new modelers.

Keywords:   cognitive models, human learning, artificial intelligence, machine learning, computational model, order effects

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