Antonija Mitrovic
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No description available of Antonija Mitrovic...
Publications by Antonija Mitrovic (bibliography)
» 2007 «
Baghaei, Nilufar and Mitrovic, Antonija (2007): From Modelling Domain Knowledge to Metacognitive Skills: Extending a Constraint-Based Tutoring System to Support Collaboration. In: Conati, Cristina, McCoy, Kathleen F. and Paliouras, Georgios (eds.) User Modeling 2007 - 11th International Conference - UM 2007 June 25-29, 2007, Corfu, Greece. pp. 217-227. Available online
» 2005 «
Ardissono, Liliana, Brna, Paul and Mitrovic, Antonija (eds.) Proceedings of the 10th International Conference on User Modeling July 24-29, 2005, Edinburgh.
Ardissono, Liliana, Brna, Paul and Mitrovic, Antonija (eds.) User Modeling 2005 - 10th International Conference - UM 2005 July 24-29, 2005, Edinburgh, Scotland, UK.
Martin, Brent and Mitrovic, Antonija (2005): Using Learning Curves to Mine Student Models. In: Ardissono, Liliana, Brna, Paul and Mitrovic, Antonija (eds.) User Modeling 2005 - 10th International Conference - UM 2005 July 24-29, 2005, Edinburgh, Scotland, UK. pp. 79-88. Available online
» 2003 «
Mitrovic, Antonija, Koedinger, Kenneth R. and Martin, Brent (2003): A Comparative Analysis of Cognitive Tutoring and Constraint-Based Modeling. In: Brusilovsky, Peter, Corbett, Albert T. and Rosis, Fiorella De (eds.) User Modeling 2003 - 9th International Conference - UM 2003 June 22-26, 2003, Johnstown, PA, USA. pp. 313-322. Available online
» 2001 «
Mitrovic, Antonija (2001): Investigating Students' Self-Assessment Skills. In: Bauer, Mathias, Gmytrasiewicz, Piotr J. and Vassileva, Julita (eds.) User Modeling 2001 - 8th International Conference - UM 2001 July 13-17, 2001, Sonthofen, Germany. pp. 247-250. Available online
» 1995 «
Mitrovic, Antonija and Djordjevic-Kajan, Slobodanka (1995): Interactive Reconstructive Student Modeling: A Machine-Learning Approach. In International Journal of Human-Computer Interaction, 7 (4) pp. 385-401
Reconstructive bug modeling is a well-known approach to student modeling in intelligent tutoring systems, suitable for modeling procedural tasks. Domain knowledge is decomposed into the set of primitive operators and the set of conditions of their applicability. Reconstructive modeling is capable of describing errors that come from irregular application of correct operators. The main obstacle to successfulness of this approach is such decomposition of domain knowledge to primitive operators with a very low level of abstraction so that bugs could never occur within them. The other drawback of this modeling scheme is its efficiency because it is usually done offline, due to vast search spaces involved. This article reports a novel approach to reconstructive modeling based on machine-learning techniques for inducing procedures from traces. The approach overcomes the problems of reconstructive modeling by its interactive nature. It allows online model generation by using domain knowledge and knowledge about the student to focus the search on the portion of the problem space the student is likely to traverse while solving the problem. Furthermore, the approach is not only incremental, but also truly interactive because it involves the student in explicit dialogs about his or her goals. In such a way, it is possible to determine whether the student knows the operator he or she is trying to apply. Pedagogical actions and the student model are generated interchangeably, thus allowing for dynamic adaptation of instruction, problem generation, and immediate feedback on student's errors. The approach presented is examined in the context of the symbolic integration tutoring system (SINT), an intelligent tutoring system (ITS) for the domain of symbolic integration.
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Mar 20th, 2010
Changes to this page (author)
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04 Sep 2007: Author was added to the bibliography (approved by an editor)
28 Apr 2003: Added the author to the bibliography