Electronic Lesson Application Compatible with the Learning Styles of Students With Memetic Pattern

Designing an educational system is costly and a time consuming task, hence, providing electronic learning modules according to the characteristics of each learner in order to reduce the learning time and increase productivity of education is very important. The purpose of this study is to provide an electronic module according to the learning characteristics of each student, using some of the e-Learning standards, learning theories , memetic algorithm and also assess the learning outcomes of this approach. At the stage of subject preparation to teach each concept, a set of maximum possible learning activities is provided with different materials such as slides, lectures, etc. The compatibility between the activities and characteristics of student who want to learn is produced based on the theory of Folder on learning styles and Bloom's theory for knowledge classification. Student learning styles are  designed  based on a questionnaire using Folder approach and testing of his/her  knowledge is extracted based on Bloom's theory and learning path which is include the proper ordering of learning activities is produced based on memetic algorithm. The populations of this study were 40 girls of third-year computer science class of  high school in Zahedan. They were selected randomly.  They have been subdivided into two groups of 20 randomly. The proposed system is trained with 20 people and 20 people have traditionally learned their lesson. Comparison between the proposed approach and traditional method in term of quality of education were  performed. The results indicate that the proposed method has good quality.