Teacher training for Data Literacy & Computer Science competences (TrainDL) (Number: 626145-EPP-1-2020-2-DE-EPPKA3-PI-POLICY)
TrainDL is a Policy Experimentation Project that aims to reduce the digital skills gap by democratising future skills through and across educational systems.
This is done by the development of open educational resources (OER) and teacher training modules in three iterative field trials to meet the need for tested and evaluated teaching materials for Data Literacy and Artificial Intelligence (AI) Education in schools across Europe.
About the project
With this project, new pedagogical approaches of Data Literacy and AI Education will be incorporated in schools and teacher trainings to equip teachers of Computer Sciences, all STEAM subjects, and Primary Education to address these topics in an accessible, accurate, and subject-specific way.
The focus on Data Literacy and AI Education TrainDL acknowledges the need for up-to-date computer science education in schools across Europe, while taking into account the varying levels of access to dedicated computer science classes and the ubiquity of digitisation across fields.
Starting with the partner countries Lithuania, Austria, and Germany, the project outcomes will be adaptable for being applied in EU member states and beyond.
TrainDLs experimentational setup (Policy Building Workshops with different stakeholders to inform three field trials) makes it possible to address the actual needs and parameters that are given by policymakers throughout the educational systems within the three project countries. Evaluation of the effects of such policies and their implementation in repeated field trials will ensure scalability later on.
Besides the practical outcomes (teacher training modules and OER materials to work with), it is a central goal of TrainDL to provide recommendations regarding the structural implementation of data literacy and AI competencies in different national curricula and educational systems and across Europe.
In addition to the research findings and recommendations a prototype will be developed, based on the project states' data, that shall lead to a European Teacher Education Monitor for Data Literacy and Artificial Intelligence.
Project consortium
Coordinator:
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GESELLSCHAFT FUR INFORMATIK (GI) |
Partners:
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Vilnius University Vilnius, Lithuania http://www.vu.lt/ |
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LANDESINSTITUT FUER SCHULE UND MEDIEN BERLIN-BRANDENBURG (LISUM) Germany https://lisum.berlin-brandenburg.de/ |
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ZENTRUM FÜR SCHULQUALITÄT UND LEHRERBILDUNG Germany https://zsl-bw.de/ |
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NACIONALINE SVIETIMO AGENTURA - NATIONAL AGENCY FOR EDUCATION (NSA) Lithuania https://www.nsa.smm.lt/ |
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FREIE UNIVERSITAET BERLIN (FU) Germany https://www.fu-berlin.de/ |
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UNIVERSITAET POTSDAM (UP) Germany https://www.uni-potsdam.de/ |
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OSTERREICHISCHE COMPUTER GESELLSCHAFT (OCG) Austria https://www.ocg.at/ |
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SENATSVERWALTUNG FUR BILDUNG, JUGEND UND FAMILIE (SenBJF) Germany https://www.berlin.de/sen/bjf/ |
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MINISTERIUM FUER BILDUNG, JUGEND UND SPORT DES LANDES BRANDENBURG (MBJS) Germany https://mbjs.brandenburg.de/bildung.html |
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BUNDESMINISTERIUM FUER BILDUNG, WISSENSCHAFT UND FORSCHUNG (BMBWF) Austria https://www.bmbwf.gv.at/ |