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

dc.contributor.author	Brandt, Andre
dc.contributor.author	Siegburg, Marcellus
dc.contributor.author	Voigtländer, Janis
dc.contributor.author	Wang, Ke
dc.contributor.editor	Michael, Judith
dc.contributor.editor	Pfeiffer
dc.contributor.editor	Jérôme
dc.contributor.editor	Wortmann, Andreas
dc.date.accessioned	2022-06-30T13:01:04Z
dc.date.available	2022-06-30T13:01:04Z
dc.date.issued	2022
dc.description.abstract	We 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.doi	10.18420/modellierung2022ws-027
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/38790
dc.language.iso	en
dc.publisher	Gesellschaft für Informatik e.V.
dc.relation.ispartof	Modellierung 2022 Satellite Events
dc.subject	Petri nets
dc.subject	E-lerning
dc.subject	Task generation
dc.title	A Report on Automatic Generation of Petri Net Exercise and Exam Task Instances	en
dc.type	Text/Conference Paper
gi.citation.endPage	204
gi.citation.publisherPlace	Bonn
gi.citation.startPage	197
gi.conference.date	27.6. - 1.7.2022
gi.conference.location	Hamburg
gi.conference.sessiontitle	MoHoL - Modellierung in der Hochschullehre

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