DocumentCode :
2020785
Title :
Evaluation of intelligent agent frameworks for human learning
Author :
Soliman, Mohamed ; Guetl, Christian
Author_Institution :
Inst. for Inf. Syst. & Comput. Media, Graz Univ. of Technol., Graz, Austria
fYear :
2011
fDate :
21-23 Sept. 2011
Firstpage :
191
Lastpage :
194
Abstract :
Pedagogical Agents are intelligent agents supporting learning in virtual learning environments, VLE. The use of the multi-agent society model inhabited with intelligent virtual agents has shown to provide several benefits to learning. This paper reviews intelligent agents for learning and shows their educational value while demonstrating the new learning possibilities supported by them. Towards the objective of efficiently utilizing the agents in a distributed learning platform, the paper provides an evaluation of intelligent agent development frameworks. This evaluation will provide valuable information to those employing and integrating intelligent agents for different types of VLE with a view towards creating new learning scenarios.
Keywords :
computer aided instruction; cooperative systems; distributed processing; virtual reality; distributed learning platform; human learning; intelligent agent frameworks; pedagogical agents; virtual learning environments; Avatars; Conferences; Humans; Intelligent agents; Learning systems; Lifting equipment; Intelligent Agents; Intelligent Pedagogical Agents; Virtual Learning Environments;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Interactive Collaborative Learning (ICL), 2011 14th International Conference on
Conference_Location :
Piestany
Print_ISBN :
978-1-4577-1748-2
Type :
conf
DOI :
10.1109/ICL.2011.6059574
Filename :
6059574
Link To Document :
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