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dc.contributor.authorHaake, Joerg M.
dc.contributor.authorSeidel, Niels
dc.contributor.authorBurchart, Marc
dc.contributor.authorKarolyi, Heike
dc.contributor.authorKasakowskij, Regina
dc.contributor.editorKienle, Andrea
dc.contributor.editorHarrer, Andreas
dc.contributor.editorHaake, Joerg M.
dc.contributor.editorLingnau, Andreas
dc.date.accessioned2021-08-25T08:21:42Z
dc.date.available2021-08-25T08:21:42Z
dc.date.issued2021
dc.identifier.isbn978-3-88579-710-4
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/36995
dc.description.abstractSelf-assessment serves to improve learning through timely feedback on one's solution and iterative refinement as a way to incrementally improve one's competence. The SelfAssess-plugin developed in Moodle provides unlimited opportunities for students to create and assess solutions to self-assessment questions. A field study examined how 131 students used voluntary self-assessment questions in an online course in B.Sc. Computer Science, how accurate they were able to self-assess their solutions on instructor-defined criteria, and which question-related characteristics influence the ability of self-assessment. Results show the potential for providing scalable learning support. Fine-grained assessment criteria and freedom of solution input are recommended; a limited complexity of the expected solution is still a challenge.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDELFI 2021
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-316
dc.subjectself-assessment accuracy
dc.subjectcomputer-assisted feedback
dc.subjectcriteria-based self-assessment
dc.titleAccuracy of self-assessments in higher educationen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages97-108
mci.conference.sessiontitleAnsätze zur Lernerunterstützung
mci.conference.locationOnline
mci.conference.date13.-15. September 2021


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