Towards a Better Understanding of Context and Context-Awareness
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
Modeling Context-Aware e-Learning Scenarios
PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
Ontology-based framework for context-aware mobile learning
Proceedings of the 2006 international conference on Wireless communications and mobile computing
A survey on context-aware systems
International Journal of Ad Hoc and Ubiquitous Computing
Adaptive Content Delivery in Ubiquitous Learning Environment
WMUTE '10 Proceedings of the 2010 6th IEEE International Conference on Wireless, Mobile, and Ubiquitous Technologies in Education
Tools for Context-Aware Learning Design and Mobile Delivery
ICALT '11 Proceedings of the 2011 IEEE 11th International Conference on Advanced Learning Technologies
A resource-adaptive transcoding proxy caching strategy
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
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In technology-enhanced learning, the use of mobile applications is increasing, which improves students' learning experiences, allowing them to carry out daily activities anytime, anywhere. However, the majority of the available learning contents have been designed for desktop computers; thus, accessing that information is limited by the technical capabilities of mobile devices. As a result, students might lose interest and motivation to learn using their mobile devices if content adaptation and learning personalization processes are not appropriately designed. In this paper, the authors present a context-aware adaptation architecture for mobile learning. In the architecture, two mechanisms based on conditional statements from the IMS Learning Design specification and a transcoding mechanism are presented. Moreover, which learner's contextual information can be represented to design the learning process and retrieved to adapt activities and resources is explained by the description of a context-aware mobile-assisted second language learning scenario.