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A Probabilistic Relational Student Model for Virtual Laboratories

  • Julieta Noguez
  • L. Enrique Sucar
  • Enrique Espinosa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4511)

Abstract

We have developed a novel student model based on probabilistic relational models (PRMs). This model combines the advantages of Bayesian networks and object-oriented systems. It facilitates knowledge acquisition and makes it easier to apply the model for different domains. The model is oriented towards virtual laboratories, in which a student interacts by doing experiments in a simulated or remote environment. It represents the students’ knowledge at different levels of granularity, combining the performance and exploration behavior in several experiments, to decide the best way to guide the student in the next experiments. Based on this model, we have developed tutors for virtual laboratories in different domains. An evaluation of with a group of students, show a significant improvement in learning when a tutor based on the PRM model is incorporated to a virtual robotics lab.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Julieta Noguez
    • 1
  • L. Enrique Sucar
    • 2
  • Enrique Espinosa
    • 1
  1. 1.Tecnológico de Monterrey, Campus Ciudad de México, Calle del Puente 222, Col. Ejidos de Huipulco, Tlalpan, 14380 México, D.F.México
  2. 2.Instituto Nacional de Astrofísica, Óptica y Electrónica, Calle Luis Enrique Erro No, 1, Sta. María Tonantzintla, 72840, PueblaMéxico

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