Effects of self-explanation in an open-ended domain (2003)
AuthorsWeerasinghe, A., Mitrovic, A.show all
EditorsHoppe, U.Verdejo, F.Kay, J.
Self-explanation is used in several intelligent tutoring systems in the domains of Mathematics and Physics to facilitate deep learning. Since these domains are well structured, 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. An evaluation study was conducted in July 2002, to investigate whether students will learn better when self-explaining. The results indicate that self-explanation leads to improved performance in both conceptual and procedural knowledge.
CitationWeerasinghe, A., Mitrovic, A. (2003) Effects of self-explanation in an open-ended domain. Sydney: 11th International Conference on Artificial Intelligence in Education (AIEd 2003), 20-24 Jul 2003. 512-514.
This citation is automatically generated and may be unreliable. Use as a guide only.