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