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Deanship of Graduate Studies
Document Details
Document Type
:
Thesis
Document Title
:
DISABILITY-AWARE CLOUD-BASED M-LEARNING SYSTEM
نظام للتعليم المتنقل المعتمد على الحوسبة السحابية لذوي الاحتياجات الخاصة
Subject
:
Faculty of Computing and Information Technology
Document Language
:
Arabic
Abstract
:
Mobile Learning (m-learning) is a growing approach that is becoming a widely accepted as an effective educational tool. M-learning is easy to use and is accessible at any time, from anywhere. However, there is currently a lack of an effective m-learning model, which meets the students’ real needs, especially for dyslexic students. We have therefore developed an adaptable m-learning model based on mobile cloud computing (MCC) called the (Promote Dyslexia) PD model. The PD model covers the major phases of the education process: preparation, learning, and assessment. The main objective of the PD model is to improve students’ personal and cognitive learning abilities by providing adaptable contents and interactive multimodal interfaces that meet their learning needs based on a repetition strategy. The PD model focuses on two basic educational skills (letters reading and words reading), which can be personalized by the expert and the teacher at the content and user interface (UI) levels to center on each student’s needs and preferred learning styles. We performed an experimental procedure to assess the learning outcomes and evaluate the effectiveness of the PD model with 28 dyslexic students in the elementary third grade in Saudi Arabia, including an evaluation based on standard pre- and post-tests. The results of the analysis show that the PD model improved the learning skills of the dyslexic students by more than double that of traditional learning systems. Additionally, the PD model gave the students the opportunity to perform activities at their convenience, and developed their personal and cognitive skills by providing contents and interfaces that were adapted specifically to their needs. The PD model brought them higher learning efficiency and flexibility and increased their attention and interest in learning.
Supervisor
:
Prof. Dr. Reda Salama
Thesis Type
:
Master Thesis
Publishing Year
:
1437 AH
2016 AD
Co-Supervisor
:
Prof. Dr. Abdulrahman Altalhi
Added Date
:
Wednesday, June 22, 2016
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
وئام قاعود الغبان
Alghabban, Weam Gaoud
Researcher
Master
Files
File Name
Type
Description
39251.pdf
pdf
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