DocumentCode :
2248695
Title :
Personal Learning Assistant Agents in the Business Process Domain
Author :
Blake, M. Brian
Author_Institution :
Georgetown Univ., Washington, DC
fYear :
2006
fDate :
5-7 July 2006
Firstpage :
1117
Lastpage :
1118
Abstract :
Each time an employee enters a new business endeavor, he/she is required to learn new tasks and processes. Learning in the workplace can be as simple as learning the task of logging onto your computer and as complex as learning a multi-week business process. Across an enterprise organization, many individuals will be required to learn the same or similar operational processes. Since human beings are unique in there learning styles, it is essential that training techniques be customized to enhance human learning performance across a diverse workforce. Intelligent agents represent an emerging paradigm where adaptive task selection is coupled with autonomous control. Agents represent a promising technology for delivering specialized training to their human counterparts by customizing instructions in multiple modalities. Insight into how an individual learns a specific business process can be used to enhance that business process for the best performance. This paper discusses the rationale for a personal learning assistant agent customized for business processes
Keywords :
intelligent tutoring systems; management education; management training; software agents; adaptive task selection; autonomous control; business process learning; enterprise organization; human learning; intelligent agents; personal learning assistant agents; specialized training; Adaptive control; Business communication; Business process re-engineering; Databases; Employment; Humans; Industrial training; Intelligent agent; Management training; Programmable control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies, 2006. Sixth International Conference on
Conference_Location :
Kerkrade
Print_ISBN :
0-7695-2632-2
Type :
conf
DOI :
10.1109/ICALT.2006.1652651
Filename :
1652651
Link To Document :
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