User Modeling and User-Adapted Interaction
Providing architectural support for building context-aware applications
Providing architectural support for building context-aware applications
Context-Aware Support for Computer-Supported Ubiquitous Learning
WMTE '04 Proceedings of the 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE'04)
Proceedings of the 2005 ACM symposium on Applied computing
Personalization and Context Management
User Modeling and User-Adapted Interaction
Adapting to Different Needs in Different Locations: Handheld Computers in University Education
WMTE '05 Proceedings of the IEEE International Workshop on Wireless and Mobile Technologies in Education
Architecture of a System for Context-based Adaptation in M-Learning
ICALT '06 Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies
The impact of learning styles on student grouping for collaborative learning: a case study
User Modeling and User-Adapted Interaction
Adaptive context-aware pervasive and ubiquitous learning
International Journal of Technology Enhanced Learning
AH 12 years later: a comprehensive survey of adaptive hypermedia methods and techniques
The New Review of Hypermedia and Multimedia - Adaptive Hypermedia
A Machine Learning Based Framework for Adaptive Mobile Learning
ICWL '009 Proceedings of the 8th International Conference on Advances in Web Based Learning
IKASYS: using mobile devices for memorization and training activities
EC-TEL'07 Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale
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In this paper we present a mechanism that supports the generation and management of adaptive mobile learning systems. Such systems are accessed by students and teachers for the accomplishment of diverse individual or collaborative learning activities. The main aim is for the systems to suggest the most suitable activities to be tackled by a given user in a specific context (location, idle time, devices). The basis of this mechanism, as well as an example of the context-based adaptation carried out for three different users in a specific scenario, are presented.