Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B6, 53-56, 2016
https://doi.org/10.5194/isprs-archives-XLI-B6-53-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
17 Jun 2016
AN ADAPTIVE WEB-BASED LEARNING ENVIRONMENT FOR THE APPLICATION OF REMOTE SENSING IN SCHOOLS
N. Wolf1, V. Fuchsgruber1, G. Riembauer1, and A. Siegmund1,2 1Dept. of Geography, Heidelberg University of Education, Germany
2Heidelberg Center for the Environment (HCE), Heidelberg University, Germany
Keywords: adaptive learning, remote sensing education, web-based learning platform, remote sensing in schools Abstract. Satellite images have great educational potential for teaching on environmental issues and can promote the motivation of young people to enter careers in natural science and technology. Due to the importance and ubiquity of remote sensing in science, industry and the public, the use of satellite imagery has been included into many school curricular in Germany. However, its implementation into school practice is still hesitant, mainly due to lack of teachers’ know-how and education materials that align with the curricula. In the project “Space4Geography” a web-based learning platform is developed with the aim to facilitate the application of satellite imagery in secondary school teaching and to foster effective student learning experiences in geography and other related subjects in an interdisciplinary way. The platform features ten learning modules demonstrating the exemplary application of original high spatial resolution remote sensing data (RapidEye and TerraSAR-X) to examine current environmental issues such as droughts, deforestation and urban sprawl. In this way, students will be introduced into the versatile applications of spaceborne earth observation and geospatial technologies. The integrated web-based remote sensing software “BLIF” equips the students with a toolset to explore, process and analyze the satellite images, thereby fostering the competence of students to work on geographical and environmental questions without requiring prior knowledge of remote sensing. This contribution presents the educational concept of the learning environment and its realization by the example of the learning module “Deforestation of the rainforest in Brasil”.
Conference paper (PDF, 882 KB)


Citation: Wolf, N., Fuchsgruber, V., Riembauer, G., and Siegmund, A.: AN ADAPTIVE WEB-BASED LEARNING ENVIRONMENT FOR THE APPLICATION OF REMOTE SENSING IN SCHOOLS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B6, 53-56, https://doi.org/10.5194/isprs-archives-XLI-B6-53-2016, 2016.

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