Geodesic
AMASE: A framework for supporting personalised activity-based learning on the web
Computer Science and Information Systems, Tome 11 (2014) no. 1.

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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.
Keywords: Adaptive Framework, Personalised Learning, Learning Activities, Adaptive Services and Workflow 
@article{CSIS_2014_11_1_a22,
     author = {Athanasios Staikopoulos and Ian O'Keeffe and Rachael Rafter and Eddie Walsh and Bilal Yousuf and Owen Conlan and Vincent Wade},
     title = {AMASE: {A} framework for supporting personalised activity-based learning on the web},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {11},
     number = {1},
     year = {2014},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2014_11_1_a22/}
}
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AU  - Athanasios Staikopoulos
AU  - Ian O'Keeffe
AU  - Rachael Rafter
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AU  - Owen Conlan
AU  - Vincent Wade
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Athanasios Staikopoulos; Ian O'Keeffe; Rachael Rafter; Eddie Walsh; Bilal Yousuf; Owen Conlan; Vincent Wade. AMASE: A framework for supporting personalised activity-based learning on the web. Computer Science and Information Systems, Tome 11 (2014) no. 1. http://geodesic.mathdoc.fr/item/CSIS_2014_11_1_a22/