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The project approach

The project follows an iterative design; the training modules designed are tested in several phases and therefore continuously developed. Three clusters determine the work in the TrainDL project: the policy, education and evaluation clusters. The consortium partners and the advisory board are involved in fulfilling the respective goals with different emphases. All results and materials published so far within these clusters are available here.

Cluster Policy

In the Policy Cluster, the education policy situation is surveyed and analyzed with regard to the project goals and further developed in close cooperation with the ministries and education authorities involved in the sense of policy experimentation. From this, guidelines for the education interventions of the Education Cluster are developed and continuously tested. In addition, the findings will be processed in a monitor for teacher training and presented as recommendations to educational policy decision-makers.

Cluster Education

The Education Cluster is concerned with the didactic development and implementation of interventions in teacher training at primary and secondary level. New modules on data and AI competencies are being developed and applied directly in teacher training courses in three project cycles.

Cluster Policy Evaluation

The Evaluation Cluster accompanies the interventions with knowledge tests and qualitative interviews. The data and experiences collected in the process allow the Policy Cluster to work in an evidence-based manner. In addition, the findings are translated into training modules and good practice recommendations.