Curriculum Analyses

Our current focus is on developing actionable resources for educators in Thuringia and Sachsen, where we are building machine‑readable curriculum models and experimenting with various Natural Language Processing methods such as BERTopic , hierarchical concept maps, and scope‑and‑sequence visualizations. As national initiatives such as Mem.Schule (FWK) advance shared ontologies and interoperable data formats for all German state curricula, our work is expanding to contribute to—and benefit from—these emerging standards.

Through our partnership with the Biologiedidaktik research group at the University of Jena, we also engage pre‑service biology teachers as researchers and co‑designers. Together, we prototype computational tools that help educators explore and redesign the conceptual backbone of the Thuringia biology curriculum, with an emphasis on deeper, more coherent learning trajectories.