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IMA simulator


Lucia Pannese
     imaginary
2/13




The business need - 1

Preparing 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 structure



IMA simulator                                                         Erlangen, 29-11-2011
3/13




The business need - 2

Translated into ImREAL “terms”, this means:




  • DESIGN TIME: fully manual

  • CONFIGURATION TIME: not present

  • RUN TIME: based on a branching story with some randomness




IMA simulator                                        Erlangen, 29-11-2011
4/13




Common structure of a branching story




IMA simulator                           Erlangen, 29-11-2011
5/13




The business need - 3

How 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 tutoring

IMA simulator                                    Erlangen, 29-11-2011
6/13




Integrated
Framework




IMA simulator   Erlangen, 29-11-2011
7/13




Storytelling module (under construction)




IMA simulator                              Erlangen, 29-11-2011
8/13




Storyboarding module




IMA simulator          Milano, 22-04-2012
9/13



User recognition –
under development




IMA simulator        Erlangen, 29-11-2011
10/13



Self-regulated choice of learning content




IMA simulator                               Erlangen, 29-11-2011
11/13



Adaptive tutoring - 1




Lorem ipsum lorem ipsum lorem ipsum   Erlangen, 29-11-2011
12/13



Adaptive tutoring - 2




IMA simulator           Erlangen, 29-11-2011
13/13




Next 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 users




IMA simulator                                              Erlangen, 29-11-2011

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ImREAL Simulator Presentation by imaginary

  • 2. 2/13 The business need - 1 Preparing 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 structure IMA simulator Erlangen, 29-11-2011
  • 3. 3/13 The business need - 2 Translated into ImREAL “terms”, this means: • DESIGN TIME: fully manual • CONFIGURATION TIME: not present • RUN TIME: based on a branching story with some randomness IMA simulator Erlangen, 29-11-2011
  • 4. 4/13 Common structure of a branching story IMA simulator Erlangen, 29-11-2011
  • 5. 5/13 The business need - 3 How 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 tutoring IMA simulator Erlangen, 29-11-2011
  • 7. 7/13 Storytelling module (under construction) IMA simulator Erlangen, 29-11-2011
  • 9. 9/13 User recognition – under development IMA simulator Erlangen, 29-11-2011
  • 10. 10/13 Self-regulated choice of learning content IMA simulator Erlangen, 29-11-2011
  • 11. 11/13 Adaptive tutoring - 1 Lorem ipsum lorem ipsum lorem ipsum Erlangen, 29-11-2011
  • 12. 12/13 Adaptive tutoring - 2 IMA simulator Erlangen, 29-11-2011
  • 13. 13/13 Next 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 users IMA simulator Erlangen, 29-11-2011