Self-Explanation in a Data Normalization Tutor
dc.contributor.author | Mitrovic, Antonija | |
dc.date.accessioned | 2007-08-07T21:21:48Z | |
dc.date.available | 2007-08-07T21:21:48Z | |
dc.date.issued | 2003 | en |
dc.description.abstract | Self-explanation is one of the most effective learning strategies, resulting in deep knowledge. In this paper, we discuss how self-explanation is scaffolded in NORMIT, a data normalization tutor. We present the system first, and then discuss how it supports self-explanation. We hypothesized the self-explanation support in NORMIT will affect students problem solving skills, and also result in better conceptual knowledge. A preliminary evaluation study of the system was performed in October 2002, the results of which show that both problem-solving performance and the understanding of the domain of students who selfexplained increased. We also discuss our plans for future research. | en |
dc.identifier.citation | Mitrovic, A. (2003) Self-Explanation in a Data Normalization Tutor. Sydney: Supplementary Proceedings, AIEd 2003 Artificial Intelligence in Education, 20-24 Jul 2003. 565-577. | en |
dc.identifier.isbn | 978-1-58603-356-9 | |
dc.identifier.uri | http://hdl.handle.net/10092/337 | |
dc.language.iso | en | |
dc.publisher | University of Canterbury. Computer Science and Software Engineering. | en |
dc.rights.uri | https://hdl.handle.net/10092/17651 | en |
dc.subject.marsden | Fields of Research::280000 Information, Computing and Communication Sciences::280100 Information Systems::280104 Computer-human interaction | en |
dc.subject.marsden | Fields of Research::280000 Information, Computing and Communication Sciences::280100 Information Systems::280112 Information systems development methodologies | en |
dc.title | Self-Explanation in a Data Normalization Tutor | en |
dc.type | Conference Contributions - Published |
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