About Spatial Science for Schools

Provides e-learning materials to support the use of remotely sensed data in core subject areas such as Mathematics, Biology, Physics. Geomatics and Geography. The aim is to inspire pupils interest in the natural sciences and engineering with fascinating satellite images used as a tool to bring factual information to life. The e-learning content has kindly been supplied through The FIS-project.

What is the FIS-Project?

Fernerkundung in Schulen (FIS) is a German acronym for “Remote Sensing in Schools”. The project aims at a more intensive use of remote sensing in school lessons. The project consider this important because not only is remote sensing of growing relevance in the modern information society, but it also offers a range of possibilities to get pupils interested in natural sciences or engineering by employing fascinating satellite images and modern technology.

The project is carried out by the Geographic Institute of Bonn University (Germany) together with partners from secondary schools. FIS is funded by the German Aerospace Centre (DLR) and the German Federal Ministry for Economics and Technology (BMWi).

Existing results show that many teachers are interested in remote sensing and, at same time, motivated to integrate it into their teaching. Despite the good intention, in the end, the implementation often fails due to the complexity and poor set-up of the information provided. Therefore, the FIS-Project developed a new didactical concept, which bases upon the principles of intermediality, interactivity and interdisciplinarity for more information please download the FIS Project Information Sheet PDF (5.90 MB).

Especially the preparation and implementation of digital learning materials takes the center stage of FIS. These interactive materials consist of tools for image analysis embedded in tasks, background information and explanatory animations. They aim at an independent disclosing and solving of problems.

Cross-linked thinking is one of the underlying principles of the learning appli­cations produced in the project. Consequently the subject matter will be dis­cussed in different classes. The basic principles of remote sensing are covered in the natural sciences like math, physics or computer science, while in the more applied sciences, like geography or biology, satellite data is analysed to answer a certain research question.