A model for developing Arab applications in mobile education by providing new Arabic mobile learning engine (AMLE)

Hana Mohammed Eltayeb Abdal, Mohamed Osman Ali Hegazi, Iman Abualmali Abdelrhman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper provides an enhanced model for m-learning, the model works as a framework and methodology to provide Arabic mobile learning engine based on the open source Mobile Learning Engine (MLE). This model is based on two phases, the first phase is for constructing the general framework of the Arabic engine inside the MLE. The second phase is for building the Arabic engine that adapts MLE for Arabic contents. Therefore our proposed model is called Arabic Mobile Learning Engine-AMLE.

Original languageEnglish
Title of host publicationProceedings - 2013 4th International Conference on e-Learning Best Practices in Management, Design and Development of e-Courses
Subtitle of host publicationStandards of Excellence and Creativity, ECONF 2013
Pages296-301
Number of pages6
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 4th International Conference on e-Learning Best Practices in Management, Design and Development of e-Courses: Standards of Excellence and Creativity, ECONF 2013 - Manama, Bahrain
Duration: 7 May 20139 May 2013

Publication series

NameProceedings - 2013 4th International Conference on e-Learning Best Practices in Management, Design and Development of e-Courses: Standards of Excellence and Creativity, ECONF 2013

Conference

Conference2013 4th International Conference on e-Learning Best Practices in Management, Design and Development of e-Courses: Standards of Excellence and Creativity, ECONF 2013
Country/TerritoryBahrain
CityManama
Period7/05/139/05/13

Keywords

  • Arabic Mobile Learning Engine AMLE
  • e-learning
  • M-learning
  • Mobile Learning Application
  • Mobile Learning Engine MLE

Fingerprint

Dive into the research topics of 'A model for developing Arab applications in mobile education by providing new Arabic mobile learning engine (AMLE)'. Together they form a unique fingerprint.

Cite this