Resumen

REYES GONZALEZ, Yunia  y  MARTINEZ SANCHEZ, Dra. Natalia. Decision making in intelligent tutoring systems using conceptual clustering. Rev cuba cienc informat [online]. 2014, vol.8, suppl.1, pp.104-116. ISSN 2227-1899.

The Artificial Intelligence techniques are valid to address the construction of an Intelligent Tutorial System given its related aspects. They use knowledge about a specific domain to infer a similar solution to that obtained by a person experienced in the domain of the problem. Meanwhile Intelligent Tutoring Systems using stored information about student characteristics for adapt the teaching-learning process thereof to the subject to be taught. Not all Artificial Intelligence paradigms facilitate the design of such systems of teaching and learning, where the main for their development is to determine how to represent the knowledge required for their modules and from that knowledge make a diagnostic of the student for that the system to adapt to your features. However, student modeling similarities in an Intelligent Tutorial System and conceptual clustering algorithms are factors to consider to design a proper diagnosis of what and how to teach depending on the student.

Palabras clave : Conceptual clustering; Intelligent Tutorial System; Student modeling.

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