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Faculty of Computing and Information Technology
Document Details
Document Type
:
Article In Conference
Document Title
:
An Effective-Adaptive E-learning System Based on Multi-Styles Assessment
نظام تعليم الكتروني تكيفي وفعال يعتمد على التقييم المتعدد الأساليب
Subject
:
Adaptive E-learning Systems
Document Language
:
Arabic
Abstract
:
Nowadays, there are many proliferation instructional educational materials on the Web, but they suffer from a distinct lack of adaptivity, causing a serious current problem in e-learning and hence education. Several studies has shown that the current use of Student Leaning Styles have to be assessment first in order to adapt suitable subjects. Hence, there is a massive need to design and implement a Multi-styles e-learning system, which plays the central role in the learning process, covering all students' preferences, as this paper introduced. The paper presents an effective e-learning system suitable for teaching AI Subjects in Arabic. System adaptive contents are based firstly on the assessment of students learning Multi-styles. Hence, suitable adapted materials will then be given to students. The paper explains how students receive and interpret instructional materials. A practical prototype model of the adaptive e-learning system that is effective for teaching AI subjects in Arabic will be explained. This educational system is designed for teaching students in Jeddah Teachers' College in Arabic, since they study all subjects there in Arabic. We believe that the system can help students effectively for understanding AI subjects and hence getting high learning gains and reach their learning goals in less time, and less cost.
Conference Name
:
Learning and Technology The 7th Annual Symposium
Publishing Year
:
1430 AH
2009 AD
Article Type
:
Article
Conference Place
:
Jeddah
Added Date
:
Monday, May 30, 2011
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
عبد الحميد رجب
Ragab, Abdul Hamid
Researcher
Doctorate
أبو بكر باجنيد
Bajnaid, Abubakr
Researcher
Doctorate
Files
File Name
Type
Description
29819.docx
docx
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