Abstract
Nowadays, a huge amount of ambiguous e-learning materials are available in World Wide Web irrespective of various objectives. These digital educational resources can be reused and shared from centralized online repository and it will avoid the redundant learning material. The main goal is to design consistent adaptable e-learning course material for web-based education system with emphasis on the quality of learning. This can be done by organizing learning object in a prescribed manner and it can be reused in feature. Such reusable learning objects are enhanced further to become adaptive reusable learning objects that are virtually cognitive and responsive towards the specific needs of the user/customer. This paper proposes the cognitive architecture to offer an adaptive reusable objects (RLO) based on individual profile of e-learner besides their cognitive behaviour while learning.
Highlights
The rapid development of e-Learning or Web-based learning is always becoming a research area which aims to provide a learning environment as a pedagogical learning
In e-learning or Web-based learning the learning content retrieval can only be retrieved on demand and the retrieved learning content are packed in the repositories called content packaging file
The learner not able to continue their learning for certain period of time due to their distraction while learning, so the efficient learning content not able to use by the learner
Summary
The rapid development of e-Learning or Web-based learning is always becoming a research area which aims to provide a learning environment as a pedagogical learning. We should handle the learning material as learning object and organize, disseminate the learning content into a uniform format as small pieces of learning materials We go for this E-learning repository system based on the current demand and future adoption among students. The eXtensible Markup Language (XML) language adopted by most learning organizations to facilitate significant features of e-Learning framework such as personalization, interoperability, reusability and flexibility [XML 2000][1]. This can be done redefining learning object by generating schema for learning object such as Metadata specification, content specification and learner profile specification are included to make suitable for e-learning systems [2][3]. The core idea is how to offer this right object for e-learner based on the learner personalization feature and their cognitive behaviour while learning
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