Towards e-learning ecosystem model based on cloud computing

Author(s):  
EL Habti Fatima Ezzahraa ◽  
Chrayah Mohamed ◽  
Bouzidi Abdelhamid
Author(s):  
Bo Dong ◽  
Qinghua Zheng ◽  
Jie Yang ◽  
Haifei Li ◽  
Mu Qiao

2013 ◽  
Vol 3 (4) ◽  
pp. 51-80 ◽  
Author(s):  
Yehia Helmy ◽  
Mona Nasr ◽  
Shimaa Ouf

Research community has believed that an e-learning ecosystem is the next generation of e-learning but has faced challenges in optimizing resource allocations, dealing with dynamic demands on getting information and knowledge anywhere and anytime, handling rapid storage growth requirements, cost controlling and greater flexibility. So, flourish, growing, scalable, available, up to date and strong infrastructure e-learning ecosystems in a productive and cost effective way will be needed to face challenges and rapidly changing in learning environment. This paper work focused on an e-learning ecosystem (ELES) which supports new technologies is introduced and implemented. An integration between cloud computing and Web 2.0 technologies and services used to support the development of e-learning ecosystems. Cloud computing an adaptable technology for many of the universities with its dynamic scalability and usage of virtualized resources as a service through the Internet and Web 2.0 brings new instruments help building dynamic e-learning ecosystem on the web.


2014 ◽  
Vol 27 (3) ◽  
pp. 339-357 ◽  
Author(s):  
Bozidar Radenkovic ◽  
Marijana Despotovic-Zrakic ◽  
Zorica Bogdanovic ◽  
Vladimir Vujin ◽  
Dusan Barac

This paper introduces an innovative model for harnessing cloud computing infrastructure within an e-learning ecosystem. The main goal was to design a scalable, reliable and secure IT environment that provides a plethora of e-learning services and seamless integration of the heterogeneous e-learning components through IaaS, PaaS and SaaS cloud service models. The e-learning services are tailored to foster courses for IT engineers in the areas of mobile technologies, social computing, Internet of Things and big data. The model was implemented and evaluated in the e-learning ecosystem of the E-business Lab, University of Belgrade.


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