Steffen CIPRINA, Institute of Geography, Ruhr-Universität Bochum, Germany
Education for Sustainable Development (ESD) is widely considered as an effective approach to contain Global Changes, such as fighting climate change and its consequences [1: III]. In order to create a resilient society, ESD has to be promoted in educational processes like teacher-training programs which can be seen as an effective approach [1: 26; 2: 34f.}. Following this idea, future teachers can implement and spread the concept of ESD at their future work at schools and serve as change agents.
Due to its effects on a local scale, adaption strategies regarding extreme weathers can be seen as an important and relevant ESD-related topic [3: SPM-10]. Mobile devices offer great potential for teaching on a local scale on field trips because of their location-aware features, such as a GPS-function. Graulich et al. [4: 16], fore example, directly refer to location-based mobile learning (LBML) as a promising approach to teach climate change adaption in educational settings. Mobile devices often combine conventional didactic items for field trips and promote new tasks to enrich the location-based experience. In fact, various studies also confirm the positive effects of LBML towards ESD-related knowledge and ESD-awareness [e.g. 5: 220f.].
The presentation will examine a research project containing the aim to foster adaption to climate change using a LBML approach with future teachers. The students take part in a digitally guided field trip with smartphones, in which climate change adaption towards extreme weather (heat & rain) is taught. The field trip was developed as a self-guided course due to the Covid-Pandemic with different location-based tasks. In order to measure a potential change in attitude towards climate change adaption and the value of digitally supported field trips, a pre-post-design is used, containing a self-developed questionnaire. The data collection takes place between June 2021 and March 2022. Therefore, there will be preliminary findings until July 2022.
Mots clés : location-based mobile learning (LBML)|ESD|Change Agents|Cllimate Change Adaption
A104688SC