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ImREAL Simulator Presentation by imaginary
 

ImREAL Simulator Presentation by imaginary

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    ImREAL Simulator Presentation by imaginary ImREAL Simulator Presentation by imaginary Presentation Transcript

    • IMA simulatorLucia Pannese imaginary
    • 2/13The business need - 1Preparing contents for a learning simulation is a very resources-consuming task!Before ImREAL the work was done like this: • Manual check of disposable content • Manual matching of potentially relevant contributions • Manual definition of learning structure (parameters) • Manual preparation of backbone • Scriptwriting and narrative • Import into IMAplatform • Manual setup of scoring and manual entering of scoring into simulation structureIMA simulator Erlangen, 29-11-2011
    • 3/13The business need - 2Translated into ImREAL “terms”, this means: • DESIGN TIME: fully manual • CONFIGURATION TIME: not present • RUN TIME: based on a branching story with some randomnessIMA simulator Erlangen, 29-11-2011
    • 4/13Common structure of a branching storyIMA simulator Erlangen, 29-11-2011
    • 5/13The business need - 3How this can be “augmented” with ImREAL: • DESIGN TIME: • Storytelling module • Storyboarding module • CONFIGURATION TIME: • Recognize user • Let users chose what they want to learn • RUN TIME: • Offer adaptive content • Offer adaptive tutoringIMA simulator Erlangen, 29-11-2011
    • 6/13IntegratedFrameworkIMA simulator Erlangen, 29-11-2011
    • 7/13Storytelling module (under construction)IMA simulator Erlangen, 29-11-2011
    • 8/13Storyboarding moduleIMA simulator Milano, 22-04-2012
    • 9/13User recognition –under developmentIMA simulator Erlangen, 29-11-2011
    • 10/13Self-regulated choice of learning contentIMA simulator Erlangen, 29-11-2011
    • 11/13Adaptive tutoring - 1Lorem ipsum lorem ipsum lorem ipsum Erlangen, 29-11-2011
    • 12/13Adaptive tutoring - 2IMA simulator Erlangen, 29-11-2011
    • 13/13Next steps: • Fully implement Storytelling • Experiment preparation of “real” content with Storyboarding • Fully implement user recognition • Train buddy to scaffold learning on job interview example • Evaluate with usersIMA simulator Erlangen, 29-11-2011