Manipulating the difficulty of C-Tests

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.

Identifier
Source https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2704
Related Identifier https://doi.org/10.18653/v1/P19-1035
Metadata Access https://tudatalib.ulb.tu-darmstadt.de/oai/openairedata?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:tudatalib.ulb.tu-darmstadt.de:tudatalib/2704
Provenance
Creator Lee, Ji-Ung; Meyer, Christian M.; Schwan, Erik
Publisher TU Darmstadt
Contributor Deutsche Forschungsgemeinschaft; TU Darmstadt
Publication Year 2019
Funding Reference Deutsche Forschungsgemeinschaft info:eu-repo/grantAgreement/DFG/GRK1994/TPGurevychGRK1994
Rights Creative Commons Attribution 4.0; info:eu-repo/semantics/openAccess
OpenAccess true
Contact https://tudatalib.ulb.tu-darmstadt.de/page/contact
Representation
Language English
Resource Type Dataset
Format application/zip
Discipline Other