Research Project: Digital, Adaptive Support for Generic and Subject-Specific Data Competency (DUDa)
The DUDa project explores how students' data literacy can be enhanced through engagement with large, (un)structured datasets (NFDI4Health, NFDI4Biodiversity) from the perspectives of biology education, mathematics education, and Information Systems and Systems Engineering. Data literacy refers to the ability to formulate questions and answer them appropriately and critically, especially when dealing with large (un)structured datasets. To foster data literacy, the DUDa project adopts an interdisciplinary approach novel to biology and mathematics education. This approach combines generic statistical and subject-specific biological aspects of data literacy for secondary school students, supported by AI-driven adaptive educational technologies. The project operationalizes these aspects for health and biodiversity research topics within a process model. Using a design-based research approach, the project collaborates with stakeholders from school practice and academia to develop a format that promotes data literacy through educational technologies, offering adaptive support during the phases of the process model. The project's impact on students' data literacy and their beliefs about scientific knowledge acquisition through data will be examined.
Project Duration: March 1, 2025 – February 29, 2029
Funding: €1.4 million
Funded by: Federal Ministry of Education and Research (BMBF)
Funding Reference Number: 01JD2410C
Project Structure
The DUDa collaborative project is led by Prof. Dr. Andreas Eichler at the University of Kassel and includes the following subprojects:
Subproject: Generic Data Competency
Leads: Prof. Dr. Andreas Eichler (University of Kassel), Prof. Dr. Matthias Söllner (University of Kassel)
Subproject: Subject-Specific Data Competency – Biodiversity Research
Lead: Prof. Dr. Kerstin Kremer (Justus Liebig University Giessen)
Subproject: Subject-Specific Data Competency – Health Research
Lead: Prof. Dr. Benedikt Heuckmann (University of Münster)
For inquiries, please contact us at benedikt.heuckmann@uni-muenster.de.