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Información tecnológica

versión On-line ISSN 0718-0764

Resumen

ALVAREZ, Santiago; SALAZAR, Oscar M.  y  OVALLE, Demetrio A.. Modelo basado en Agentes para la Detección de Fallas Cognitivas en Entornos de Aprendizaje Colaborativo. Inf. tecnol. [online]. 2018, vol.29, n.5, pp.289-298. ISSN 0718-0764.  http://dx.doi.org/10.4067/S0718-07642018000500289.

The aim of this paper is to propose and validate a model based on the integration of several artificial intelligence techniques, such as ontologies and intelligent software agents in order to face problems that still persist in collaborative learning. The methodology employed includes a knowledge representation based on an ontological model, which allows generating inferences in order to produce most accurate recommendation of educational resources based on cognitive failures detected on each student during a collaborative activity. In addition, the model incorporates intelligent agents to provide characteristics of adaptivity, task distribution, and proactivity in educational resources recommendation processes. The validation of the proposed model was done through the implementation of a prototype applied to case studies. The results show the benefits of integrating ontologies and intelligent agents to detect cognitive failure in collaborative learning processes.

Palabras clave : cognitive failure detection; collaborative learning; intelligent agents; ontologies.

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