DocumentCode
2082272
Title
Learning Math and Statistics on the Cloud, Towards an EC2-Based Google Docs-like Portal for Teaching / Learning Collaboratively with R and Scilab
Author
Chine, Karim
Author_Institution
Cloud Era Ltd., Cambridge, UK
fYear
2010
fDate
5-7 July 2010
Firstpage
752
Lastpage
753
Abstract
The Elastic-R portal allows educators and students to easily allocate, use and manage cloud resources and to work on the cloud, from standard web browsers, with the most commonly used statistical and mathematical environments such as R and Scilab. Elastic-R enables collaboration and resources sharing as well as interactive local or remote teaching sessions. Elastic-R is also a platform and provides frameworks and tools that make it easy for educators to create their own cloud-based e-Learning tools.
Keywords
Internet; computer aided instruction; online front-ends; portals; statistics; Scilab; cloud based e-learning tool; cloud resource; elastic-R portal; interactive local teaching session; interactive remote teaching session; math learning; resources sharing; statistics learning; web browser; Clouds; Collaboration; Electronic learning; Machine learning; Portals; Virtual machining; Cloud computing; R; Scilab; Virtual Learning Envronments; Virtual Research Environments; remote teaching;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies (ICALT), 2010 IEEE 10th International Conference on
Conference_Location
Sousse
Print_ISBN
978-1-4244-7144-7
Type
conf
DOI
10.1109/ICALT.2010.120
Filename
5572466
Link To Document