An infrastructure for developing pervasive learning environments

Sabine Graf, Kathryn MacCallum, Tzu Chien Liu, Maiga Chang, Dunwei Wen, Qing Tan, Jon Dron, Fuhua Lin, Nian Shing Chen, Rory McGreal, Kinshuk

Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

10 Citations (Scopus)

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.

Original languageEnglish
Title of host publication6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008
Pages389-394
Number of pages6
DOIs
Publication statusPublished - 2008
Event6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008 - Hong Kong, Hong Kong
Duration: 17 Mar. 200821 Mar. 2008

Publication series

Name6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008

Conference

Conference6th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2008
Country/TerritoryHong Kong
CityHong Kong
Period17/03/0821/03/08

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