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Agent-based systems for human learners

Published online by Cambridge University Press:  01 June 2010

Elizabeth Sklar  and
Debbie Richards
Elizabeth Sklar*
Affiliation:
Department of Computer and Information Science, Brooklyn College, and Department of Computer Science, The Graduate Center, City University of New York, Brooklyn, NY 11210, USA
Debbie Richards*
Affiliation:
Department of Computing, Division of Information and Communication Sciences, Macquarie University, Sydney NSW 2109, Australia
*
e-mail: sklar@sci.brooklyn.cuny.edu, richards@ics.mq.edu.au
e-mail: sklar@sci.brooklyn.cuny.edu, richards@ics.mq.edu.au
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Abstract

Applying intelligent agent technologies to support human learning activities has been the subject of recent work that reaches across computer science and education disciplines. This article discusses agent-based approaches that have been designed to address a range of pedagogical and/or curricular tasks. Three types of agents are identified in the literature: pedagogical agents, peer-learning agents, and demonstrating agents. Features of each type are considered, as well as the systems in which these agents are incorporated, examining common and divergent goals, system and agent architectures, and evaluation methodologies. Open issues are highlighted, and future directions for this burgeoning interdisciplinary field are suggested.

Type
Articles
Information
The Knowledge Engineering Review , Volume 25 , Issue 2 , June 2010 , pp. 111 - 135
Copyright
Copyright © Cambridge University Press 2010

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