Julieta Noguez

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We have developed an intelligent tutoring system coupled with a virtual laboratory, which constitute a semi-open learning environment. This environment provides the student with the opportunity to learn through exploration within a virtual laboratory, while achieving the expected learning objectives. The key element of this environment is a novel(More)
1 Instituto de Investigaciones Eléctricas, Gerencia de Sistemas Informáticos, Cuernavaca, Morelos, México, {myhp, garroyo@iie.org.mx} 2 Tecnológico de Monterrey, Campus Cd. de México, México, D. F., México, noguez@itesm.mx 3 Instituto Nacional de Astrofísica, Óptica y Electrónica, Tonantzintla, Puebla, México, esucar@inaoep.mx Abstract Emotions have been(More)
To ensure learning, game-based learning environments must incorporate assessment mechanisms, e.g. Intelligent Tutoring Systems (ITSs). ITSs are focused on recognising and influencing the learner’s emotional or motivational states. This research focuses on designing and implementing an affective student model for intelligent gaming, which reasons about the(More)
Game-based learning offers key advantages for learning through experience in conjunction with offering multi-sensorial and engaging communication. However, ensuring that learning has taken place is the ultimate challenge. Intelligent Tutoring Systems (ITSs) have been incorporated into game-based learning environments to guide learners’ exploration. Emotions(More)
This paper shows the creation of the adaptive SCORM sequencing models, taking advantage of the latest developments offered by the artificial intelligence field, to provide the best choice to the student, based in learning objects, using a tutor model in self learning. The Tutor uses decision networks also called influence diagrams, to improve the(More)
We are combining collaborative didactic techniques, virtual laboratories and intelligent tutors to improve the process of learning mobile robotics. The students learn the basic concepts in mobile robotics, first experimenting in a virtual laboratory, and later by building a small mobile robot for a competition. The guiding thread for the course is based on(More)
An important requirement for intelligent assistants is to have an explanation generation mechanism, so that the trainee has a better understanding of the recommended actions and can generalize them to similar situations. In this work we combine different knowledge sources to generate explanations for operator training. The explanations are based on a(More)