Towards a new-digital learning ecosystem based on autonomic Web services

Document Type

Conference Proceeding

Source of Publication

4th IEEE International Conference on Digital Ecosystems and Technologies - Conference Proceedings of IEEE-DEST 2010, DEST 2010

Publication Date

12-23-2010

Abstract

With the latest advances in information and communication technologies, learners can now engage in continuous and rich learning-sessions that characterize today's digital learning ecosystems. In these ecosystems, learning resources are pervasive and dynamic. A key challenge is to develop a scalable learning system that addresses the inherent complexity of learning sessions and cater for the specific needs and requirements of individual learners. In this paper, we adopt autonomic Web services to capture disparate learning resources and build an autonomic digital learning ecosystem that reconfigures itself in response to changes in the environment such as learners' profiles, resource availabilities, and type of instructional material. The use of autonomic Web services permits to abstract the learning resources into distributed and uniformly structured objects and to record learners' attributes into a packaged profile. These Web services sense the learning context and coach learners in their pursuit of constructive instructional sessions. A service-oriented architecture is proposed to connect learning resources, learners' profiles, and contextual indicators. A prototype is, also, illustrated in the paper to show the feasibility of the proposed solutions. © 2010 IEEE.

ISBN

9781424455539

Publisher

IEEE

First Page

180

Last Page

185

Disciplines

Computer Sciences

Keywords

Autonomic system, Learner profile, Learning technology, Web service

Scopus ID

78650289778

Indexed in Scopus

yes

Open Access

no

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