The arrival of the computer to the world, more than fifty years ago, brought two dreams to life: to make computers as intelligent as humans can be, or more, and to use them for providing personalized support to human learning. A great variety of research has come out from these dreams, whose results have demonstrated computers can be very helpful in supporting human learning using Artificial Intelligent (AI) techniques, transforming information into knowledge, using it for tailoring many aspects of the educational process to the particular needs of each actor, and timely providing useful suggestions and recommendations.

The growing usage of computers in education we see today offers an excellent opportunity for exploring new ways of applying AI techniques to better support the educational processes. It also delivers huge amounts of information in need of intelligent management, and poses big challenges to the field of AI on topics such as Web-based intelligent tutoring systems, intelligent learning management systems, intelligent learning objects, modeling, enactment and intelligent use of emotion and affect, natural language and dialogue approaches to intelligent learning environments design and construction, authoring tools, applications of cognitive science, semantic web technologies, and Student modeling, among others.

 Chairs:

• Ramón Zatarain

• Rafael Morales

• Yasmín Hernández

Program committee:

• María Lucía Barrón Estrada, Instituto Tecnológico de Culiacán, Mexico.

• Yasmín Hernández Pérez, Instituto de Investigaciones Eléctricas, Mexico.

• Jaime Muñoz Arteaga, Universidad Autonoma de Aguascalientes.

• Rafael Morales Gamboa, Universidad de Guadalajara, Mexico.

• José Ángel Olivas Varela, Universidad de Castilla–La Mancha, Spain.

• Manuel E. Prieto Méndez, Universidad de Castilla–La Mancha, Spain.

• Carlos A. Reyes García, INAOE, Mexico.

• Ramón Zatarain Cabada, Instituto Tecnológico de Culiacán, Mexico.

Accepted papers:

Andrés Soto, Jesús Alejandro Flores Hernández, María de los Ángeles Buenabad Arias and Gisela Diez. Using Ontologies to Generate Learning Objects Automatically.

M.A. Romero-Inzunza, Pilar Gómez-Gil and L.Enrique Sucar. An Authoring Tool based on Probabilistic Relational Models for Building Intelligent Tutor Systems.

Priscila Valdiviezo D., Inés Jara R., Martha Agila P., Paola Sarango L., Rodrigo Pesántez M. and Miguel Rodriguez-Artacho. A Multi-Agent Architecture to Provide Adaptive Learning Content in Moodle.

Jesús Miguel García Gorrostieta, Cesar Enrique Rose Gómez, and Samuel González López. Modelo de Evaluación del Aprendizaje basado en un Sistema Multi-Agente Inteligente.

Emma Lucio, Joel Suárez and Félix Castro. Un Modelo Cognitivo para la Determinación de Habilidad en la Validación de Proposiciones Lógicas Aplicado a CAT's.

María Magdalena Josefina Tirado Hernández, Luis Ernesto Mancilla Espinoza and Ileana Cruz Sánchez. Metodología para realizar un Tutor Inteligente usando Razonamiento Basado en Casos (RBC).

María Lucia Barrón Estrada, Ramón Zatarain Cabada and Luis Carlos Santillán Hernández. Adaptación Dinámica de Contenidos Educativos en Dispositivos Móviles.

Miguel Pérez-Ramírez and Norma J. Ontiveros-Hernández. Virtual Reality as a Comprehensive Training Tool.

Antonio Sanchez, Ricardo Tercero, Diana Saldaña and Lisa Burnell Ball. SDBI: An Ontology Based Smart Home Lab Environment.