A Multi-Agent Intelligent Learning System: An Applicationwith a Pedagogical Agent and Learning Objects

Sánchez-Guerrero Lourdes, Laureano-Cruces Ana Lilia, Mora-Torres Martha, Ramírez-Rodríguez Javier, Silva-López Rafaela Blanca

Departamento de Sistemas, Universidad Autónoma Metropolitana Azcapotzalco, Distrito Federal, México;Laboratoire Informatique d’Avignon, Université d’Avignon et des Pays de Vaucluse, Avignon, France.
Departamento de Sistemas, Universidad Autónoma Metropolitana Azcapotzalco,Distrito Federal, México.
Departamento de Sistemas, Universidad Autónoma Metropolitana Azcapotzalco,Distrito Federal, México;Laboratoire Informatique d’Avignon, Université d’Avignon et des Pays de Vaucluse,Avignon, France;Posgrado en Ciencia e Ingeniería de la Computación, Universidad Nacional Autónoma de México,Distrito Federal, México.
Posgrado en Ciencia e Ingeniería de la Computación, Universidad Nacional Autónoma de México,Distrito Federal, México.

DOI: 10.4236/ce.2013.47A2024                

Abstract

This article describes the analysis, design and development of an Intelligent Learning System (ILS). The design of the ILS is based on a multi-agent architecture. This architecture includes reactive agents which represent the expertise of each of the necessary sub-skills in learning the application domain, which in the study case is structured programming. The ILS utilizes artificial intelligence techniques to implement the teaching-learning process using an inference engine based on a general didactic model. As a result, this system is termed as Intelligent Learning System with Learning Objects (ProgEst). ProgEst is carried out with the objective of providing the user with self-regulated learning strategies in addition to the knowledge of a determined domain. The case study includes situations related to: learning styles, knowledge domain (errors made) and affective-motivational state. The assessments shall determine: 1) what is to be explained, 2) level of detail and timing, 3) how and when to interrupt the student, and 4) the information to provide during the interaction.

Keywords

Intelligent Learning System; Educational Objective; Learning Object

Conflicts of Interest

The authors declare no conflicts of interest.

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