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Journal > Bulletin of Electrical Engineering and Informatics > Adaptive E-Learning Based on Learners Styles

 

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Bulletin of Electrical Engineering and Informatics
Vol 2, No 4: December 2013
Adaptive E-Learning Based on Learners Styles
M. El-Bakry, Hazem ( Mansoura University)
A. Saleh, Ahmed ( Mansoura University)
Article Info   ABSTRACT
Published date:
01 Dec 2013
 
In this paper, a new model for adaptive e-learning based on learners styles is presented. In the previous work, the dimensions of learners styles given by Felder-Silverman did not consider some important issues of the learner himself. Here, new learners parameters such as his social environment, health conditions, psychological and economical states are taken into account. Such parameters greatly affect the ability of student to learn and understand. Therefore, in order to perfectly recognize the ability of the student to be interactive in the leaning environment and accept information, new learners styles are added to the dimensions of Felder-Silverman learning style model and our previous work [24]. The new proposed model is applied for logic gates and functions used in data encoding and computer networks. Such model presents suitable courses for each student in a dynamic and adaptive manner using existing database and workflow technologies. Furthermore, it is powerful, user friendly and easy to interpret. Moreover, it suggests a learning strategy and appropriate electronic media that match the learner’s preference.
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