This module focuses on linking the socio-scientific issues that initial teacher education students study, such as epidemic modeling, to data and statistics. Through this module, the pre-service teachers will develop competences in planning and carrying out experiments, surveys or interviews, in collecting, preparing and analyzing data and representing it according to the rules of statistical inference.
The module contains a module outline, a poster, and worksheets.
Module Outline
Poster
Worksheets
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)
Content-related competences
