SI-APRENDE: An Intelligent Learning System Based on SCORM Learning Objects for Training Power Systems Operators

  • Liliana Argotte
  • G. Arroyo-Figueroa
  • Julieta Noguez
Part of the Studies in Computational Intelligence book series (SCI, volume 363)


This paper presents the architecture of the Intelligent Learning Systems for training of power systems operators and describes one of its components: the tutor module. Operators can acquire knowledge in different ways or with different paths of learning, also called models of sequence. The tutor model is an adaptive intelligent system that selects the sequence of the learning material presented to each operator. The adaptive sequence is represented as a decision network that selects the best pedagogical action for each specific operator. The decision network represents information about the current state of the tutor, their possible actions, the state resulting from the action of the tutor and the usefulness of the resulting state. The model was evaluated using graduate students with good results. Based on the adaptive model, we developed an Intelligent Learning System called as SI-Aprende. The SI-Aprende system manages, spreads and promotes the knowledge by mean of the search and recovery of SCORM Learning Objects.


adaptive learning intelligent environment learning objects SCORM sequencing model 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Liliana Argotte
    • 1
  • G. Arroyo-Figueroa
    • 1
  • Julieta Noguez
    • 2
  1. 1.Instituto de Investigaciones ElectricasMorelosMexico
  2. 2.Tecnologico de MonterreyMexicoMexico

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