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In this module, future teachers learn to support students in addressing complex environmental SSIs using a scaffolding framework. The topic “forest and climate change” serves as an example, connecting with the life experiences of both future teachers and their students.

The module contains a module outline, a presentation, worksheets and a spreadsheet with data.


Module Outline


Word


PDF



Presentation

PDF



Worksheets

Word


PDF



Spreadsheet



About ENSITE
ENSITE (Environmental Socio-Scientific issues in Initial teacher Education) was an Erasmus+ project that ran from 2019-2022, supporting the development of future science and maths teachers’ environmental citizenship and related teaching competences. ENSITE aims at improving higher education by including environmental socio-scientific issues (SSI) in science initial teacher education (ITE).

The project was coordinated by the International Centre for STEM Education (ICSE ) at the University of Education Freiburg, who worked with partner teams of higher education institutions from 11 countries across Europe.

A total of 12 modules have been developed. Modules 1-6 focus on the learning processes to develop competences within the field of environmental SSI whereas modules 7-12 focus on the teaching processes to aquire skills for giving SSI lessons. The individual modules can be used as stand-alone modules in combination with IO1, used as an introduction.

Click here for other modules in this project.

Disclaimer:
The creation of these resources has been co-funded by the Erasmus+ programme of the EU under grant no. 2019-1-DE01-KA203-005046. Neither the European Union/European Commission nor the project’s national funding agency [DAAD] are responsible for the content or liable for any losses or damage resulting of the use of these resources.
CC-BY-NC-SA 4.0 license is granted.
Image source: Own illustration (ICSE)
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Subject
General Science, Higher Education, Interdisciplinary teaching, Mathematics
Year
2022
Topics
Reallife Problems, Interdisciplinary Topics
Guiding ideas /
Content-related competences
Number - Variable - Operation, Data and probability
Grades
Author
ENSITE Project - ICSE. Lead partner: University of Klagenfurt. Responsible for content: Prof. Dr. Katja Maass
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