Effective Learning Through Gaming Simulation Design
Recent education graduates and participants of the training course have also started to use gaming simulation in processes of organizational development of school administrations. Increasingly, more appropriate learning environments are constructed in the educational system, with a great potential to create effective learning processes and to advance educational social systems. In addition, the designed games of the training programs phase III deal with different social issues and in this way contribute to the development and preferred change of social systems and society itself.
Leveraging grid computing technology, i.e. the visualization of distributed computing and data resources such as processing, network bandwidth and storage capacity to create a single system image, we present a Grid Air Quality Forecast System (G-AQFS). The modeling system consists of meteorological and dispersion models coupled in cascade. The computational workflow of the modeling system is defined by means of DAGs (direct acyclic graph). A simple system is presented to manage and schedule the computational grid resources. As case study the system has been applied over Salento area, in the Apulia region (South-eastern Italy), to simulate ground level ozone concentration. Model predictions have been compared with field measurements, with reasonable results.