Implementation of a Novel Educational Modeling Approach for Cloud Computing

Authors

  • Sara Ouahabi University of Hassan II - Mohammedia – Casablanca
  • Ahmed Eddaoui University of Hassan II - Mohammedia – Casablanca
  • El Houssine Labriji University of Hassan II - Mohammedia – Casablanca
  • Elhabib Benlahmar University of Hassan II - Mohammedia – Casablanca
  • Kamal El Guemmat University of Hassan II - Mohammedia – Casablanca

DOI:

https://doi.org/10.3991/ijet.v9i6.4153

Keywords:

Cloud, Education, Interoperability, E-Learning, IMS-LD, Metadata

Abstract


The Cloud model is cost-effective because customers pay for their actual usage without upfront costs, and scalable because it can be used more or less depending on the customers’ needs. Due to its advantages, Cloud has been increasingly adopted in many areas, such as banking, e-commerce, retail industry, and academy. For education, cloud is used to manage the large volume of educational resources produced across many universities in the cloud. Keep interoperability between content in an inter-university Cloud is not always easy. Diffusion of pedagogical contents on the Cloud by different E-Learning institutions leads to heterogeneous content which influence the quality of teaching offered by university to teachers and learners. From this reason, comes the idea of using IMS-LD coupled with metadata in the cloud. This paper presents the implementation of our previous educational modeling by combining an application in J2EE with Reload editor that consists of modeling heterogeneous content in the cloud. The new approach that we followed focuses on keeping interoperability between Educational Cloud content for teachers and learners and facilitates the task of identification, reuse, sharing, adapting teaching and learning resources in the Cloud.

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Published

2014-12-08

How to Cite

Ouahabi, S., Eddaoui, A., Labriji, E. H., Benlahmar, E., & El Guemmat, K. (2014). Implementation of a Novel Educational Modeling Approach for Cloud Computing. International Journal of Emerging Technologies in Learning (iJET), 9(6), pp. 49–53. https://doi.org/10.3991/ijet.v9i6.4153

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Section

Papers