An intelligent agent to detect learner's learning style automatically through E-learning system in Saudi Arabia
Joint Authors
Assiri, Aliyah Abd al-Rahman
Abd al-Aziz, Azrilah
Source
Journal of Engineering Sciences and Information Technology
Issue
Vol. 1, Issue 4 (31 Dec. 2017), pp.55-84, 30 p.
Publisher
Publication Date
2017-12-31
Country of Publication
Palestine (Gaza Strip)
No. of Pages
30
Main Subjects
Educational Sciences
Information Technology and Computer Science
Abstract EN
Most of the successful conventional E-learning system lack of automatic detecting of learner learning style based on their preference.
An Automatic approach marked as a better approach to characterize learning style because it is based on real student behavior.
The purpose of this study is to propose a new literature-based method (Automatic approach) using intelligent agents to identify learner's learning style based on behavior using Felder-Silverman Learning Style Model (FSLSM).
The new method implemented in new developed LMS.
After obtaining the proposed method result, the result validates and compared with Felder-Silverman Learning Style Model questionnaire (ILS) and García method .After comparing the proposed method with the results of previous studies, the researcher got satisfactory results on precision percentage and the lowest percentage in the results was 66.6 %.
American Psychological Association (APA)
Abd al-Aziz, Azrilah& Assiri, Aliyah Abd al-Rahman. 2017. An intelligent agent to detect learner's learning style automatically through E-learning system in Saudi Arabia. Journal of Engineering Sciences and Information Technology،Vol. 1, no. 4, pp.55-84.
https://search.emarefa.net/detail/BIM-890007
Modern Language Association (MLA)
Abd al-Aziz, Azrilah& Assiri, Aliyah Abd al-Rahman. An intelligent agent to detect learner's learning style automatically through E-learning system in Saudi Arabia. Journal of Engineering Sciences and Information Technology Vol. 1, no. 4 (Dec. 2017), pp.55-84.
https://search.emarefa.net/detail/BIM-890007
American Medical Association (AMA)
Abd al-Aziz, Azrilah& Assiri, Aliyah Abd al-Rahman. An intelligent agent to detect learner's learning style automatically through E-learning system in Saudi Arabia. Journal of Engineering Sciences and Information Technology. 2017. Vol. 1, no. 4, pp.55-84.
https://search.emarefa.net/detail/BIM-890007
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p 81-84
Record ID
BIM-890007