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AMASE: A framework for supporting personalised activity-based learning on the web

Staikopoulos, Athanasios, O'Keeffe, Ian, Rafter, Rachael, Walsh, Eddie, Yousuf, Bilal, Conlan, Owen and Wade, Vincent (2014) AMASE: A framework for supporting personalised activity-based learning on the web. Computer Science and Information Systems, 11 (1). pp. 343-367. ISSN 2406-1018

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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.

Item Type: Article
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software

L Education > LC Special aspects / Types of education > E-Learning
Divisions: School of Computing > Staff Research and Publications
Related URLs:
Depositing User: Caoimhe Ni Mhaicin
Date Deposited: 25 Oct 2019 11:25
Last Modified: 25 Oct 2019 11:25

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