Enhancing learning through self-explanation

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dc.contributor.authorWeerasinghe, A.
dc.contributor.authorMitrovic, Antonija
dc.date.accessioned2007-08-07T21:11:47Z
dc.date.available2007-08-07T21:11:47Z
dc.date.issued2002en
dc.description.abstractSelf-explanation is an effective teaching/learning strategy that has been used in several intelligent tutoring systems in the domains of Mathematics and Physics to facilitate deep learning. Since all these domains are well structured, the instructional material to self-explain can be clearly defined. We are interested in investigating whether self-explanation can be used in an open-ended domain. For this purpose, we enhanced KERMIT, an intelligent tutoring system that teaches conceptual database design. The resulting system, KERMIT-SE, supports self-explanation by engaging students in tutorial dialogues when their solutions are erroneous. We plan to conduct an evaluation in July 2002, to test the hypothesis that students will learn better with KERMIT-SE than without self-explanation.en
dc.identifier.citationWeerasinghe, A., Mitrovic, A. (2002) Enhancing learning through self-explanation. Auckland, New Zealand: Proceedings of the International Conference on Computers in Education (ICCE 2002), 3-6 Dec 2002. 244-248.en
dc.identifier.doihttps://doi.org/10.1109/CIE.2002.1185914
dc.identifier.isbn978-0-7695-1509-0
dc.identifier.urihttp://hdl.handle.net/10092/336
dc.language.isoen
dc.publisherUniversity of Canterbury. Computer Science and Software Engineering.en
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subject.marsdenFields of Research::280000 Information, Computing and Communication Sciences::280200 Artificial Intelligence and Signal and Image Processing::280201 Expert systemsen
dc.subject.marsdenFields of Research::280000 Information, Computing and Communication Sciences::280100 Information Systems::280104 Computer-human interactionen
dc.titleEnhancing learning through self-explanationen
dc.typeConference Contributions - Published
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