Knowledge management in intelligent tutoring systems

Riccucci, Simone (2008) Knowledge management in intelligent tutoring systems, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Informatica, 19 Ciclo. DOI 10.6092/unibo/amsdottorato/916.
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In the last years, Intelligent Tutoring Systems have been a very successful way for improving learning experience. Many issues must be addressed until this technology can be defined mature. One of the main problems within the Intelligent Tutoring Systems is the process of contents authoring: knowledge acquisition and manipulation processes are difficult tasks because they require a specialised skills on computer programming and knowledge engineering. In this thesis we discuss a general framework for knowledge management in an Intelligent Tutoring System and propose a mechanism based on first order data mining to partially automate the process of knowledge acquisition that have to be used in the ITS during the tutoring process. Such a mechanism can be applied in Constraint Based Tutor and in the Pseudo-Cognitive Tutor. We design and implement a part of the proposed architecture, mainly the module of knowledge acquisition from examples based on first order data mining. We then show that the algorithm can be applied at least two different domains: first order algebra equation and some topics of C programming language. Finally we discuss the limitation of current approach and the possible improvements of the whole framework.

Tipologia del documento
Tesi di dottorato
Riccucci, Simone
Dottorato di ricerca
Settore disciplinare
Settore concorsuale
Parole chiave
intelligent tutoring system data mining knowledge acquisition
Data di discussione
28 Aprile 2008

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