• DocumentCode
    2185888
  • Title

    A 3-D pyramid/prism approach to view knowledge requirements for the batch means method when taught in a language-focused, undergraduate simulation course

  • Author

    Poyner, Chris ; Court, Mary ; Pham, Huong ; Pittman, Jennifer

  • Author_Institution
    Sch. of Ind. Eng., Univ. of Oklahoma, Norman, OK, USA
  • fYear
    2008
  • fDate
    7-10 Dec. 2008
  • Firstpage
    2563
  • Lastpage
    2571
  • Abstract
    We develop a 3D knowledge pyramid/prism model to structure the relationships of (i) lower-level learning, (ii) `optional¿ knowledge bases, (iii) concurrent knowledge, and (ii) new knowledge; so one may view the learning needs of a higher-level learning objective. Our paradigm stems from Bloom¿s taxonomy of learning, but has the advantage of supporting `just-in-time¿ and `learn-by-doing¿ delivery, teaching and learning styles. We illustrate the paradigm through the BMMKP (the 3D knowledge pyramid/prism model of the highest-level, batch-means-method learning objective for our language-focused, undergraduate course). The BMMKP reveals how highly dependent and fully integrated this learning is to calculus, probability, statistics, and queuing theory-regardless of the simulation modeling language chosen to teach in the course. The BMMKP is then used to develop a set of lower-level learning objectives for the undergraduate course. The 3D pyramid/prism approach should lend itself well as a communication tool for visualizing other simulation learning objectives.
  • Keywords
    computer aided instruction; data visualisation; educational courses; teaching; 3D knowledge pyramid/prism model; batch means method; concurrent knowledge; higher-level learning; knowledge requirement; language-focused undergraduate simulation course; learning style; lower-level learning; optional knowledge bases; simulation learning objective; teaching; Analytical models; Education; Industrial engineering; Parameter estimation; Performance analysis; Probability; Queueing analysis; Statistical analysis; Statistics; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2008. WSC 2008. Winter
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-2707-9
  • Electronic_ISBN
    978-1-4244-2708-6
  • Type

    conf

  • DOI
    10.1109/WSC.2008.4736368
  • Filename
    4736368