• DocumentCode
    2961413
  • Title

    Dynamic Course Editor to Train Electric Power Operators

  • Author

    Argotte-Ramos, Liliana ; Rodriguez-Ortiz, Guillermo ; Arroyo-Figueroa, Gustavo

  • Author_Institution
    Inst. de Investig. Electr. Cuernavaca, Cuernavaca, Mexico
  • fYear
    2009
  • fDate
    9-13 Nov. 2009
  • Firstpage
    117
  • Lastpage
    121
  • Abstract
    An SCORM compliant system called Aprend-e (e-learning in Spanish) has been developed and implanted at Comisio¿n Federal de Electricidad (CFE) to build a collection of training objects for electric power operators. Aprend-e includes an editor and a repository of learning objects (LOs). LOs prepared with the editor have been executed with a SCORM compliant LMS with positive results. The editor is implemented using a graphic interface and a semantic network, such that an instructor authoring a LO can use any of all possible statements of the SCORM 2004 to build a manifest for the LO. For instructors that develop dynamic courses or intelligent tutors, Aprend-e has adapted a method from the literature were the course planning can be represented using a graph (AND/OR graph) and then the graph is converted to SCORM activity trees. Currently the repository has been loaded with 130 LOs for electric power operators training.
  • Keywords
    computer aided instruction; graphical user interfaces; Aprend-e; SCORM compliant system; dynamic course editor; dynamic courses; e-learning; electric power operators; graphic interface; intelligent tutors; semantic network; Artificial intelligence; Competitive intelligence; Industrial training; Least squares approximation; Management training; Personnel; Power system modeling; Power system planning; Strategic planning; Virtual reality; industrial application; learning objects; planning; tutorial systems; virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, 2009. MICAI 2009. Eighth Mexican International Conference on
  • Conference_Location
    Guanajuato
  • Print_ISBN
    978-0-7695-3933-1
  • Type

    conf

  • DOI
    10.1109/MICAI.2009.42
  • Filename
    5372706