Paper Info
Title
AMASE: A framework for supporting personalised activity-based learning on the web.
Abstract
Personalised web information systems have in recent years been evolving to provide richer and more tailored experiences for users than ever before. In order to provide even more interactive experiences as well as to address new opportunities, the next generation of Personalised web information systems needs to be capable of dynamically personalising not just web media but web services as well. In particular, eLearning provides an example of an application domain where learning activities and personalisation are of significant importance in order to provide learners with more engaging and effective learning experiences. This paper presents a novel approach and technical framework called AMASE to support the dynamic generation and enactment of Personalised Learning Activities, which uniquely entails the personalisation of media content and the personalisation of services in a unified manner. In doing so, AMASE follows a narrative approach to personalisation that combines state of the art techniques from both adaptive web and adaptive workflow systems.
Year
DOI
Venue
2014
10.2298/CSIS121227012S
COMPUTER SCIENCE AND INFORMATION SYSTEMS
Keywords
DocType
Volume
Adaptive Framework,Personalised Learning,Learning Activities,Adaptive Services and Workflow
Journal
11
Issue
ISSN
Citations 
1
1820-0214
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Athanasios Staikopoulos19411.11
Ian O'Keeffe2365.86
Rachael Rafter316416.04
Eddie Walsh412310.67
Bilal Yousuf5134.53
Owen Conlan644763.88
Vincent Wade7252.23