Brandt, AndreSiegburg, MarcellusVoigtländer, JanisWang, KeMichael, JudithPfeifferJérômeWortmann, Andreas2022-06-302022-06-302022https://dl.gi.de/handle/20.500.12116/38790We report on generators for different task types addressing Petri net concepts from a modeling lecture for undergraduate students. A focus is on how to control difficulty and intended insights about the subject matter on the learners’ side. We explain the influence of provided configuration parameters for several task types on an exemplary instance each, and comment on presentation and implementation, as well as very briefly on exam experience.enPetri netsE-lerningTask generationText/Conference Paper10.18420/modellierung2022ws-027