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Generation of Multiple True False Questions

dc.contributor.authorKasakowskij,Regina
dc.contributor.authorKasakowskij, Thomas
dc.contributor.authorSeidel, Niels
dc.contributor.editorHenning, Peter A.
dc.contributor.editorStriewe, Michael
dc.contributor.editorWölfel, Matthias
dc.date.accessioned2022-08-23T09:52:54Z
dc.date.available2022-08-23T09:52:54Z
dc.date.issued2022
dc.description.abstractAssessments are an important part of the learning cycle and enable the development and promotion of competencies. However, the manual creation of assessments is very time-consuming. Therefore, the number of tasks in learning systems is often relatively small. In this paper, we present an algorithm that can automatically generate an arbitrary number of German True False statements from a textbook using the GPT-2 model. The algorithm was evaluated with a selection of textbook chapters from four different academic disciplines and rated by domain experts. One-third of the generated MTF Questions are suitable for learning. The algorithm provides instructors with an easier way to create assessments on chapters of textbooks to test factual knowledge.en
dc.identifier.doi10.18420/delfi2022-026
dc.identifier.isbn978-3-88579-716-6
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/38826
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof20. Fachtagung Bildungstechnologien (DELFI)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-322
dc.subjectautomatic question generation
dc.subjecttrue false questions
dc.subjectassessment
dc.subjectGPT-2 model
dc.subjectNLP
dc.titleGeneration of Multiple True False Questionsen
dc.typeText/Conference Paper
gi.citation.endPage152
gi.citation.publisherPlaceBonn
gi.citation.startPage147
gi.conference.date12.-14. September 2022
gi.conference.locationKarlsruhe

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