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Developing and Using Teaching Materials in eGLE Environment
Authors: Dorian Gorgan, Teodor Stefanut, Mircea Marginean, Victor Bâcu
Number of views: 357
The eLearning platforms have been intensively developed in the last decade by providing performant educational services at lower costs than the classical methods. Even so, the development has been significantly limited by the extensive requirement of the eLearning applications for high processing capacity and performant resources. The Grid architecture, which substitutes the single server based architecture, provides solutions for the domains such as management and processing of huge quantities of data (e.g. satellite images, 3D simulations, etc), distributed data processing, and distributed processing over a great number of computing workstations. This paper presents the eGLE platform that supports the using of resources for data storage and distributed processing in Grid systems, and the approach through which the lessons can be developed and executed in domains such as Earth Observation, massive spatial data processing, medicine, etc. It is highlighted as well a new possibility of developing educational materials by efficient mechanisms of repurposing and adapting of teaching objects already available.