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1 Title of the Article Adoption of Cloud Computing Framework in Higher Education to Enhance Educational Process
2 Author's name Dr. AymanElsayedKhedr: Associate Professor, Department of Information Systems, Faculty of Computers and Information, Helwan University, Cairo, Egypt.
3 Author's name Dr. SherifAbd ElkaderKholeif, ShroukHossamEldinHessen
4 Subject Computer Science & Engineering
5 Keyword(s) Cloud computing, E-learning, New technology adaption process and E-learning based cloud.
6 Abstract

Cloud Computing (CC) becames the most promising technology to reach the advanced educational services, because it essentially provides a huge computing and storage capacities. Cloud computing provides reliable and tailored dynamic computing environments for education services. On the other side, e-learning has been realized as an efficient way of learning. The increasing number of students, services, education contents and resource as well as the way of adapting e-learning becomes problematic. As a potential technology to overcome the problems in e-learning, this study explores the potntial impacts and the measure of how the educational services can be benefited by cloud. For that purpose the study attampt to adapt a proposed framework for virtual learning system in an extended cloud computing environment. This framework can be applied everywhere where there is a need for intensive teaching and learning in higher education. The applied case study findings of implementing the proposed framework equate the study expectations, where the student’s satisfaction significantly increased compared with the existing system.

7 Publisher Innovative Research Publication
8 Journal Name; vol., no. International Journal of Innovative Research in Computer Science & Technology (IJIRCST); Volume-3 Issue-2
9 Publication Date March 2015
10 Type Peer-reviewed Article
11 Format PDF
12 Uniform Resource Identifier https://ijircst.org/view_abstract.php?title=Adoption-of-Cloud-Computing-Framework-in-Higher-Education-to-Enhance-Educational-Process&year=2015&vol=3&primary=QVJULTE5MA==
13 Digital Object Identifier(DOI)  
14 Language English
15 Page No 150-156

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