SmartWeather is a driver project intended to integrate the multidisciplinary knowledge target to scientific and technical high schools, so that a systemic approach to learning can be applied. The project is based on a three-layer cultural model, with physics at the top as a foundation for measurements and observation, followed by other scientific and technical disciplines that develop methods and, ultimately, humanistic and linguistic disciplines to integrate technical and scientific knowledge. SmartWeather is a web-based meteorological station that uses measurement and observation information for short-time weather forecasting with a language-reasoning model to make forecast decisions. The project ran for 4 months, from January to April 2014, a prototype of of the weather station has been released and presented at a special initiative (UniMi-Under18) promoted by the Università degli Studi di Milano on May 2014, where the students experienced the presentation of the project results to public.
SmartWeather: a Multidisciplinary Project for Scientific and Technical High Schools / M. Malcangi - In: Proceedings of the 13th International Academic Conference[s.l] : International Institute of Social and Economic Sciences (IISES), 2014 Oct. - ISBN 978-80-87927-05-2. - pp. 291-296 (( Intervento presentato al 13. convegno 13th International Academic Conference tenutosi a Antibes (France) nel 2014.
SmartWeather: a Multidisciplinary Project for Scientific and Technical High Schools
M. MalcangiPrimo
2014
Abstract
SmartWeather is a driver project intended to integrate the multidisciplinary knowledge target to scientific and technical high schools, so that a systemic approach to learning can be applied. The project is based on a three-layer cultural model, with physics at the top as a foundation for measurements and observation, followed by other scientific and technical disciplines that develop methods and, ultimately, humanistic and linguistic disciplines to integrate technical and scientific knowledge. SmartWeather is a web-based meteorological station that uses measurement and observation information for short-time weather forecasting with a language-reasoning model to make forecast decisions. The project ran for 4 months, from January to April 2014, a prototype of of the weather station has been released and presented at a special initiative (UniMi-Under18) promoted by the Università degli Studi di Milano on May 2014, where the students experienced the presentation of the project results to public.Pubblicazioni consigliate
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