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Automatic Feedback for Open Writing Tasks: Is this text appropriate for this lecture?

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dc.contributor.authorRüdian, Sylvio
dc.contributor.authorQuandt, Joachim
dc.contributor.authorHahn, Kathrin
dc.contributor.authorPinkwart, Niels
dc.contributor.editorZender, Raphael
dc.contributor.editorIfenthaler, Dirk
dc.contributor.editorLeonhardt, Thiemo
dc.contributor.editorSchumacher, Clara
dc.date.accessioned2020-09-08T09:46:22Z
dc.date.available2020-09-08T09:46:22Z
dc.date.issued2020
dc.description.abstractGiving feedback for open writing tasks in online language learning courses is time-consuming and expensive, as it requires manpower. Existing tools can support tutors in various ways, e.g. by finding mistakes. However, whether a submission is appropriate to what was taught in the course section still has to be rated by experienced tutors. In this paper, we explore what kind of submission meta-data from texts of an online course can be extracted and used to predict tutor ratings. Our approach is generalizable, scalable and works with every online language course where the language is supported by the tools that we use. We applied a threshold-based approach and trained a neural network to compare the results. Both methods achieve an accuracy of 70% in 10-fold cross-validation. This approach also identifies “fake” submissions from automatic translators to enable more fine-granular feedback. It does not replace tutors, but instead provides them with a rating based on objective metrics and other submissions. This helps to standardize ratings on a scale, which could otherwise vary due to subjective evaluations.en
dc.identifier.isbn978-3-88579-702-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34170
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDELFI 2020 – Die 18. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V.
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-308
dc.subjectfeedback
dc.subjectonline courses
dc.subjectlanguage learning
dc.titleAutomatic Feedback for Open Writing Tasks: Is this text appropriate for this lecture?en
dc.typeText/Conference Paper
gi.citation.endPage276
gi.citation.publisherPlaceBonn
gi.citation.startPage265
gi.conference.date14.-18. September 2020
gi.conference.locationOnline

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DELFI 2020