Scaffolding answer explanation in a data normalization tutor

dc.contributor.authorMitrovic, Antonija
dc.date.accessioned2007-08-02T04:38:05Z
dc.date.available2007-08-02T04:38:05Z
dc.date.issued2005en
dc.description.abstractSelf-explanation is one of the most effective learning strategies, resulting in deep knowledge. In this paper, we discuss how NORMIT supports self-explanation. NORMIT is a constraint-based tutor that teaches data normalization. We present the system first, and then discuss how it supports self-explanation. We hypothesized the self-explanation support in NORMIT would result in increased problem solving skills and better conceptual knowledge. An evaluation study of the system was performed, the results of which show that both problem-solving performance and the understanding of the domain of students who self-explained increased. We also discuss our plans for future research.en
dc.identifier.citationMitrovic, A. (2005) Scaffolding answer explanation in a data normalization tutor. Facta Universitatis, Series Electronics and Energetics, 18(2), pp. 151-163.en
dc.identifier.issn0353-3670
dc.identifier.urihttp://hdl.handle.net/10092/326
dc.language.isoen
dc.publisherUniversity of Canterbury. Computer Science and Software Engineering.en
dc.relation.ispartofseriesFacta Universitatis.en
dc.relation.urihttp://factaee.elfak.ni.ac.yu/en
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subjectintelligent educational systemsen
dc.subjectdata normalizationen
dc.subjectmetacognitive skillsen
dc.subjectevaluation of teaching strategiesen
dc.subject.marsdenFields of Research::330000 Education::330100 Education Studies::330107 Educational technology and mediaen
dc.titleScaffolding answer explanation in a data normalization tutoren
dc.typeJournal Article
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