Content area

Abstract

Mobile Cloud Computing (MCC) aims to improve all mobile applications such as m-learning systems. This study presents an innovative method to use web technology and software engineering's best practices to provide m-learning functionalities hosted in a MCC-learning system as service. Components hosted by MCC are used to empower developers to create m-learning systems in agile manner. The developed m-learning systems -as tenants of MCC-learning- provide cloud-quality services to their clients. The solution is a service-oriented and three-layered MCC system encompassing innovative m-learning components. To adapt e-contents sent to clients, a Device-Adaptive-Rendering component is used which takes platform, capability, physical and other contextual diversities of mobile devices into account. Using MCC increases the development speed and decreases the Lines Of Code (LOC) to build m-learning systems. Experiment outcomes demonstrate improvement in time taken by learners to answer the learning task questions and accuracy rates.

Details

Title
Agile Development of Various Computational Power Adaptive Web-Based Mobile-Learning Software Using Mobile Cloud Computing
Author
Zadahmad, Manouchehr 1 ; Yousefzadehfard, Parisa 1 

 ILkhchi Branch, Islamic Azad University, Ilkhchi, Iran 
Volume
11
Issue
2
Pages
61-72
Publication year
2016
Publication date
2016
Publisher
IGI Global
Place of publication
Hershey
Country of publication
United States
ISSN
1548-1093
e-ISSN
1548-1107
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Milestone dates
2016-04-01 (pubdate)
ProQuest document ID
2932382196
Document URL
https://www.proquest.com/scholarly-journals/agile-development-various-computational-power/docview/2932382196/se-2?accountid=208611
Copyright

Copyright © 2016, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.

Last updated
2025-11-09
Database
2 databases
  • Education Research Index
  • ProQuest One Academic