TUdatalib : Manipulating the difficulty of C-Tests

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dc.contributor.author	Lee, Ji-Ung
dc.contributor.author	Meyer, Christian M.
dc.contributor.author	Schwan, Erik
dc.date.accessioned	2021-04-19T07:43:58Z
dc.date.available	2021-04-19T07:43:58Z
dc.date.issued	2019-07
dc.identifier.uri	https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2704
dc.description	We propose two novel manipulation strategies for increasing and decreasing the difficulty of C-tests automatically. This is a crucial step towards generating learner-adaptive exercises for self-directed language learning and preparing language assessment tests. To reach the desired difficulty level, we manipulate the size and the distribution of gaps based on absolute and relative gap difficulty predictions. We evaluate our approach in corpus-based experiments and in a user study with 60 participants. We find that both strategies are able to generate C-tests with the desired difficulty level.	en_US
dc.language.iso	en	en_US
dc.relation	IsCitedBy;DOI;10.18653/v1/P19-1035
dc.rights	Creative Commons Attribution 4.0
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject.classification	4.43-06 Datenmanagement, datenintensive Systeme, Informatik-Methoden in der Wirtschaftsinformatik	en_US
dc.subject.ddc	004
dc.title	Manipulating the difficulty of C-Tests	en_US
dc.type	Dataset	en_US
tud.project	HA(Hessen Agentur) \| 521/17-03 \| a! automated languag	en_US
tud.project	DFG \| GRK1994 \| TPGurevychGRK1994	en_US
tud.unit	TUDa
tud.history.classification	Version=2020-2024;409-06 Informationssysteme, Prozess- und Wissensmanagement