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Feedback provision strategies in intelligent tutoring systems based on clustered solution spaces

dc.contributor.authorGross, Sebastian
dc.contributor.authorMokbel, Bassam
dc.contributor.authorHammer, Barbara
dc.contributor.authorPinkwart, Niels
dc.contributor.editorDesel, Jörg
dc.contributor.editorHaake, Jörg M.
dc.contributor.editorSpannagel, Christian
dc.date.accessioned2017-09-29T21:21:23Z
dc.date.available2017-09-29T21:21:23Z
dc.date.issued2012
dc.description.abstractDesigning an Intelligent Tutoring System (ITS) usually requires precise models of the underlying domain, as well as of how a human tutor would respond to student mistakes. As such, the applicability of ITSs is typically restricted to welldefined domains where such a formalization is possible. The extension of ITSs to ill-defined domains constitutes a challenge. In this paper, we propose the provision of feedback based on solution spaces which are automatically clustered by machine learning techniques operating on sets of student solutions. We validated our approach in an expert evaluation with a data set from a programming course. The evaluation confirmed the feasibility of the proposed feedback provision strategies.en
dc.identifier.isbn978-3-88579-601-5
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/4787
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDeLFI 2012: Die 10. e-Learning Fachtagung Informatik der Gesellschaft für Informatik e.V.
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-207
dc.titleFeedback provision strategies in intelligent tutoring systems based on clustered solution spacesen
dc.typeText/Conference Paper
gi.citation.endPage38
gi.citation.publisherPlaceBonn
gi.citation.startPage27
gi.conference.date24.-26. September 2012
gi.conference.locationHagen
gi.conference.sessiontitleForschungsbeiträge

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