DocumentCode
3402433
Title
An Infrastructure for Developing Pervasive Learning Environments
Author
Graf, Sabine ; MacCallum, Kathryn ; Liu, Tzu-Chien ; Chang, Maiga ; Wen, Dunwei ; Tan, Qing ; Dron, Jon ; Lin, Fuhua ; Chen, Nian-Shing ; McGreal, Rory ; Kinshuk
Author_Institution
Vienna Univ. of Technol., Vienna
fYear
2008
fDate
17-21 March 2008
Firstpage
389
Lastpage
394
Abstract
This paper presents an infrastructure for developing problem-based pervasive learning environments. Building such environments necessitates having many autonomous components dealing with various tasks and heterogeneous distributed resources. Our proposed infrastructure is based on a multi-agent system architecture to integrate various components of the environments. The infrastructure includes a location- and context-awareness service, a question and answer service, an adaptive mechanism; problem based ubiquitous learning models, social networking issues, and the evaluation of multimedia inputs. Furthermore, student modeling issues among components are considered. The design of the infrastructure as well as its components is discussed. This paves the way towards the development of pervasive learning applications.
Keywords
computer aided instruction; multi-agent systems; ubiquitous computing; adaptive mechanism; autonomous components; context-awareness service; heterogeneous distributed resources; location-awareness service; multiagent system architecture; problem-based pervasive learning environments; social networking issues; Application software; Buildings; Context awareness; Context modeling; Context-aware services; Distance learning; Isolation technology; Multiagent systems; Pervasive computing; Social network services; location awareness; multi-agent systems; optimal grouping; pervasive learning; problem-based learning; ubiquitous learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing and Communications, 2008. PerCom 2008. Sixth Annual IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-0-7695-3113-7
Type
conf
DOI
10.1109/PERCOM.2008.51
Filename
4517426
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