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Published May 30, 2021 | Version v1
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Architectural and Parametric Design Evaluation for Enhancing Adaptive E-Learning

  • 1. Department of Computer Science, Federal University Oye-Ekiti
  • 1. Publisher

Description

Learning is any technique that in living creatures prompts never-ending limit change and which isn't solely a direct result of characteristic advancement of developing. The complexity associated with learning and the fact that it start from birth till death makes it a cumbersome procedure. It incorporates certainly more than reasoning: the whole character - resources, feelings, impulse, values and will. Many conventional approaches fail to inculcate the above parameters which increase the cumbersomeness of learning coupled with problems of assimilation. If we don't have the will to learn, we won't learn and if we have learned, we are truly changed by one way or another. The focus of this paper is to propose an architecture that was designed with special emphasis on enhancing adaptive elearning. This architecture uses the learning style of learner to produce learning contents peculiar to such learner and as such difficulties associated with comprehension is totally aborted and thereby making learning easier.

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Is cited by
Journal article: 2277-3878 (ISSN)

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ISSN
2277-3878
Retrieval Number
100.1/ijrte.A57730510121