• DocumentCode
    1964427
  • Title

    Exercise design approach for intelligent simulation based training system

  • Author

    Zhang, Dong Mei ; Alem, Leila

  • Author_Institution
    Div. of Inf. Technol., CSIRO, North Ryde, NSW, Australia
  • fYear
    1995
  • fDate
    35030
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    Specific exercises are widely used in the simulation based training environment as a major means for training students to combine their theory skills into practical skills. An intelligent training system can increase the individualised learning potential by tailoring simulation exercises. A framework for supporting individualised learning by designing exercises that suit the needs of the student is presented. Such an exercise based training approach is characterised by a cycle of four phases: training needs identification, exercise design, exercise execution and student performance evaluation. It can be applicable to a variety of training domains. An intelligent training system for air traffic controller (ATC) is described as an application of the general approach
  • Keywords
    air traffic control; computer based training; digital simulation; intelligent tutoring systems; air traffic controller; exercise based training approach; exercise design approach; exercise execution; individualised learning; individualised learning potential; intelligent simulation based training system; simulation exercises; student performance evaluation; student training; training domains; training needs identification; Air traffic control; Application software; Australia; Costs; Diagnostic expert systems; Information technology; Intelligent systems; Knowledge based systems; Sonar; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Systems, 1995. ANZIIS-95. Proceedings of the Third Australian and New Zealand Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-86422-430-3
  • Type

    conf

  • DOI
    10.1109/ANZIIS.1995.705707
  • Filename
    705707