Enhanced M-learning with cloud computing: the Bangladesh case

Hossain Masud, Md. Anwar and Huang, Xiaodi and Yong, Jianming (2011) Enhanced M-learning with cloud computing: the Bangladesh case. In: CSCWD 2011: 15th International Conference on Computer Supported Cooperative Work in Design, 8-10 Jun 2011, Lausanne, Switzerland.


M-Learning is a learning model that blends wireless
technology and mobile computing to educate the world. It is
convenient in that it is accessible from virtually anywhere.
However, it faces the challenges such as the high cost and lack of sufficient education resources. This paper presents a new Mlearning architecture that is enhanced by cloud computing.
Relying on this architecture, we can reach the huge number of students over diverse terrains in a timely and cost effective manner, by using the mobile technology as a supplement to the existing learning technologies. A new learning framework for Bangladesh is also described that makes use of mobile phones combined with cloud computing to achieve cost-effectiveness.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to published version due to publisher copyright policy.
Faculty / Department / School: Historic - Faculty of Business and Law - School of Information Systems
Date Deposited: 21 Feb 2012 06:53
Last Modified: 23 Aug 2017 04:56
Uncontrolled Keywords: mobiles; mobile learning; mobile technologies; mlearning; Bangadesh; cloud computing
Fields of Research : 13 Education > 1303 Specialist Studies in Education > 130306 Educational Technology and Computing
08 Information and Computing Sciences > 0806 Information Systems > 080699 Information Systems not elsewhere classified
10 Technology > 1005 Communications Technologies > 100510 Wireless Communications
Socio-Economic Objective: C Society > 93 Education and Training > 9302 Teaching and Instruction > 930203 Teaching and Instruction Technologies
Identification Number or DOI: 10.1109/CSCWD.2011.5960200
URI: http://eprints.usq.edu.au/id/eprint/20506

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