The use of agents in human learning systems

Elizabeth Sklar*, Debbie Richards

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

26 Citations (Scopus)

Abstract

This paper examines agent-based systems designed for a variety of human learning tasks. These are typically split into two areas: "training", which generally refers to adult learning of job-related skills, frequently but not exclusively in military settings; and "education", which generally refers to child and adult learning in academic settings, including primary and secondary schools, colleges and universities. While the terms may indicate diverse areas within the field of human learning, from the standpoint of agent-based systems development, many of the more prominent issues are held in common; as well, these issues can be generalized to most interactive agent-based environments. Here, we categorize three major trends in development of agents to assist human learners: pedagogical agents, peer learning agents and demonstrating agents. We highlight recent work within each of these categories, bringing to light common themes and issues.

Original languageEnglish
Title of host publicationProceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems
EditorsPeter Stone, Gerhard Weiss
Place of PublicationNew York
PublisherACM
Pages767-774
Number of pages8
Volume2006
ISBN (Print)1595933034, 9781595933034
DOIs
Publication statusPublished - 2006
EventFifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS - Hakodate, Japan
Duration: 8 May 200612 May 2006

Other

OtherFifth International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
CountryJapan
CityHakodate
Period8/05/0612/05/06

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  • Cite this

    Sklar, E., & Richards, D. (2006). The use of agents in human learning systems. In P. Stone, & G. Weiss (Eds.), Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems (Vol. 2006, pp. 767-774). New York: ACM. https://doi.org/10.1145/1160633.1160768