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Agile Development of Various Computational Power Adaptive Web-Based Mobile-Learning Software Using Mobile Cloud Computing

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  • Manouchehr Zadahmad

    (ILkhchi Branch, Islamic Azad University, Ilkhchi, Iran)

  • Parisa Yousefzadehfard

    (ILkhchi Branch, Islamic Azad University, Ilkhchi, Iran)

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.

Suggested Citation

  • Manouchehr Zadahmad & Parisa Yousefzadehfard, 2016. "Agile Development of Various Computational Power Adaptive Web-Based Mobile-Learning Software Using Mobile Cloud Computing," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global, vol. 11(2), pages 61-72, April.
    • Handle: RePEc:igg:jwltt0:v:11:y:2016:i:2:p:61-72
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