A Web Based Framework for Learning Styles Identification by Expert System

Abstract

Abstract T he learning styles of the students has beenresearched and identified in many studies in the past. There are many models and frameworks proposed by the researchers. This study focused on the identifying the cognitive style of learning by the students via a web based expert system. Therefore, this study proposes an adaptive framework for the identification of the cognitive styles of the students. In this study, the expert system was developed with the help of the adaptation model and the student model. The web based infrastructure was designed and the system was tested on students of Buraidah Community College, Qassim University. Findings of the study show the adequacy of the versatile web-based learning system with powerfully distinguishing students' cognitive styles during perusing, along these lines approving the exploration motivations behind this examination. Another powerful result signifies positive and accurate outcomes in identification of the cognitive styles of learning of the students. The average staying time on the design web page was recorded and analyzed in order to check the accuracy of the students’ cognitive style of learning.