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A Report on Automatic Generation of Petri Net Exercise and Exam Task Instances

dc.contributor.authorBrandt, Andre
dc.contributor.authorSiegburg, Marcellus
dc.contributor.authorVoigtländer, Janis
dc.contributor.authorWang, Ke
dc.contributor.editorMichael, Judith
dc.contributor.editorPfeiffer
dc.contributor.editorJérôme
dc.contributor.editorWortmann, Andreas
dc.date.accessioned2022-06-30T13:01:04Z
dc.date.available2022-06-30T13:01:04Z
dc.date.issued2022
dc.description.abstractWe 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.en
dc.identifier.doi10.18420/modellierung2022ws-027
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/38790
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofModellierung 2022 Satellite Events
dc.subjectPetri nets
dc.subjectE-lerning
dc.subjectTask generation
dc.titleA Report on Automatic Generation of Petri Net Exercise and Exam Task Instancesen
dc.typeText/Conference Paper
gi.citation.endPage204
gi.citation.publisherPlaceBonn
gi.citation.startPage197
gi.conference.date27.6. - 1.7.2022
gi.conference.locationHamburg
gi.conference.sessiontitleMoHoL - Modellierung in der Hochschullehre

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