Semantic Learning Space: An Infrastructure for Context-Aware Ubiquitous Learning
UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
Web-Based Recommender Systems and User Needs --the Comprehensive View
Proceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems
Towards a semantic infrastructure for context-aware e-learning
Multimedia Tools and Applications
Investigating the influence of QoS on personal evaluation behaviour in a mobile context
Multimedia Tools and Applications
Improving context interpretation by using fuzzy policies: the case of adaptive video streaming
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Using fuzzy policies to improve context interpretation in adaptive systems
ACM SIGAPP Applied Computing Review
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Pervasive learning promises an exciting learning environment such that users can access content and study them at anytime, anywhere, through any devices. Besides delivering the right content to the learner, it is necessary to provide acceptable Quality-of-Service (QoS) guarantees in terms of presenting the content. In this paper, we propose a recommendation approach based on fuzzy logic theory towards QoS-aware pervasive learning. It determines appropriate presentation form of the learning content according to user's QoS requirements and device/network capability. We also propose an adaptive QoS mapping strategy, which dynamically sets quality parameters at running time according to the capabilities of client devices. The experimental results show the proposed approach is feasible and acceptable to enable QoS-aware pervasive learning.