Agent-based systems for human learners

Elizabeth Sklar; Debbie Richards; Elizabeth Sklar; Debbie Richards

doi:10.1017/S0269888910000044

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.

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Agent-based systems for human learners

Department of Computer and Information Science

Department of Computing

Published online: 01 June 2010

Abstract: 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.

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Acknowledgments

This work was partially supported by NSF ITR-02-19347/05-52294 and ARC DP0558852. Thanks to anonymous reviewers who have provided feedback on previous versions of this paper.

http://www.garagegames.com/

http://nwn.bioware.com/

http://nwn.bioware.com/about/description.html

http://www.emergent.net/

http://www.elderscrolls.com/games/oblivion_verview.htm

http://www.valvesoftware.com/

Foundation for Intelligent Physical Agents, http://www.fipa.org

http://ccl.northwestern.edu/netlogo

http://www.swarm.org

http://repast.sourceforge.net

http://agentsheets.com

http://www.legomindstorms.com

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Elizabeth Sklar, Debbie Richards. 2010. Agent-based systems for human learners. The Knowledge Engineering Review. 25:44 doi: 10.1017/S0269888910000044

Elizabeth Sklar, Debbie Richards. 2010. Agent-based systems for human learners. The Knowledge Engineering Review. 25:44 doi: 10.1017/S0269888910000044

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Agent-based systems for human learners

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