TY - JOUR
T1 - AMASE
T2 - A framework for supporting personalised activity-based learning on the web
AU - Staikopoulos, Athanasios
AU - O'Keeffe, Ian
AU - Rafter, Rachael
AU - Walsh, Eddie
AU - Yousuf, Bilal
AU - Conlan, Owen
AU - Wade, Vincent
PY - 2014/1
Y1 - 2014/1
N2 - 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.
AB - 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.
KW - Adaptive Framework
KW - Adaptive Services and Workflow
KW - Learning Activities
KW - Personalised Learning
UR - https://www.scopus.com/pages/publications/84893416235
U2 - 10.2298/CSIS121227012S
DO - 10.2298/CSIS121227012S
M3 - Article
AN - SCOPUS:84893416235
SN - 1820-0214
VL - 11
SP - 343
EP - 367
JO - Computer Science and Information Systems
JF - Computer Science and Information Systems
IS - 1
ER -