Abstract
In this paper we propose a new adaptive learning framework that classifies learner's based on individual preferences in terms of understanding and processing information. This framework generates learner's learning style based on Felder Silverman learning style model and suggest learning content based on learning style. The paper outlines how the system allows instructors to monitor learner's learning style and suggest learning content based on the inferred learning style. The framework supports both static and automatic student modelling approach. In this sense, Adaptive learning framework resolves the limitation of traditional learning management system thus improving learner's learning process.
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