Abstract
In an adaptive e-learning environment, the system must respond harmoniously to the changes of learner needs. The traditional e-learning systems provide adaptation based on user preferences only. To improve performance, it is required to incorporate learning context information such as the device and network context to determine the appropriate presentation method along with the user preferences. Mainly this paper discussed about the basic categories of context in e-learning environment and proposed an architectural overview of ontology driven rule-based adaptive system for obtaining effective delivery of learning material.
Highlights
The existing learning resources are mainly developed for computer based e-learning
To make the mobile learning useful and successful, there is a need to develop context aware personalized e-learning applications. This issue can be solved through detecting characteristics and constraints of learning device and delivering suitable learning content
In the context of context aware e-learning, the learning device, and the learning activity of e-learner may be completely different in each moment the learner tries to learn from the corresponding web-based e-learning system
Summary
To make the mobile learning useful and successful, there is a need to develop context aware personalized e-learning applications. This issue can be solved through detecting characteristics and constraints of learning device and delivering suitable learning content. The presentation capabilities of most of the existing learning contents (such as standard documents, image, audio, and video) are restricted to personal computers and they may not be supported by mobile devices [3]. Within the mobile devices, there is diversity in their capabilities; the context-aware adaptive learning approach needs to provide device-independent e-learning services, through recognizing the various characteristics of the device. Adaptation technique considers domain, device and activity details of the e-learner, so that it allows us to deliver précised and customized learning material. The rule based approach enhances the functional consistency of adaptive delivery process
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