Abstract
The web based learning has become more complex to search required learning resources with continuously growing digital learning contents which are entangled with structural and semantic interrelationship. Meanwhile, the rapid development of communication technology lead to heterogeneity of learning devices than it was in the early stage. The context-aware adaptive learning environment has become a promising solution to these searching and presentation problems in educational domain. To solve this context aware learning content delivery problem, we proposed a novel architectural model based on MVC (Model–View–Controller) design pattern, that is able to perform personalized adaptive delivery of course content according to learner contextual information such as learning style and characteristics of the learning device using an ontological approach.
Highlights
In an adaptive e-learning environment, the system must respond harmoniously to changes of learner needs, learning style and context
The e-learning approach such as online learning is empowering the students for self-learning and to create personalized context aware adaptive learning approaches, through leveraging the huge digital learning resources that are available on internet
The recent emerging mobile communication technology and the popularity of mobile solutions have geared the traditional PC based e-learning approach to increase their change to m-learning, but the divergence between these two types of environments based on their technical capabilities and characteristics has become a paradox to use existing digital learning contents and applications that are developed with the perspective of computers
Summary
In an adaptive e-learning environment, the system must respond harmoniously to changes of learner needs, learning style and context. The recent emerging mobile communication technology and the popularity of mobile solutions have geared the traditional PC based e-learning approach to increase their change to m-learning, but the divergence between these two types of environments based on their technical capabilities and characteristics has become a paradox to use existing digital learning contents and applications that are developed with the perspective of computers. Various content adaptation (transcoding) techniques emerged to perform the adaptation of learning contents based on the characteristics of learning devices These single-source adaptation techniques often lead to high complexity and cumbersome task to deliver the adapted contents dynamically as per the characteristics of client device, this need to develop multi-source authoring contents, where separate resources are maintained for each class of devices. In the proposed prototype implementation we are considering only two types of resources as compatible for PC and mobile environments
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