Publicación:
WebGIS and geospatial technologies for landscape education on personalized learning contexts

Fecha
2017
Autores
Miguel González, Rafael de
Lázaro Torres, María Luisa de::virtual::4550::600
Morales Yago, Francisco José::virtual::4551::600
Lázaro Torres, María Luisa de
Morales Yago, Francisco José
Lázaro Torres, María Luisa de
Morales Yago, Francisco José
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Derechos de acceso
info:eu-repo/semantics/openAccess
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MDPI
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Resumen
The value of landscape, as part of collective heritage, can be acquired by geographic information systems (GIS) due to the multilayer approach of the spatial configuration. Proficiency in geospatial technologies to collect, process, analyze, interpret, visualize, and communicate geographic information is being increased by undergraduate and graduate students but, in particular, by those who are training to become geography teachers at the secondary education level. Some teaching experiences, using personalized learning, distance learning methodology, and GIS, focused on education aims to integrate students and enhance their understanding of the landscape are shown. Opportunities offered byWebGIS will be described, through quantitative tools and techniques that will allow this modality of learning and improve its effectiveness. Results of this research show that students, through geospatial technologies, learn the landscape as a diversity of elements, but also the complexity of physical and human factors involved. Several conclusions will be highlighted: (i) the contribution of geospatial training to education on the landscape and for sustainable development; (ii) spatial analysis as a means of skills acquisition regarding measures for landscape conservation; and (iii) expanding and applying acquired knowledge to other geographic spaces.
Descripción
Categorías UNESCO
Palabras clave
WebGIS, landscape, heritage, personalized learning, the cloud, distance learning
Citación
Centro
Facultad de Geografía e Historia
Departamento
Geografía
Grupo de investigación
Grupo de innovación
Programa de doctorado
Cátedra