ImREAL Simulator Presentation by imaginary
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This document discusses improving the process of preparing learning simulations. Previously, preparation was fully manual across design, configuration, and run time. The proposed ImREAL system aims to augment this by providing storytelling and storyboarding modules to assist with design time, recognizing users and allowing self-regulated learning for configuration time, and offering adaptive content and tutoring for run time. Next steps include fully implementing storytelling and experimenting with preparing real content using storyboarding.
ImREAL Simulator Presentation by imaginary
- 1. IMA simulator Lucia Pannese 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
- 6. 6/13 Integrated Framework IMA simulator Erlangen, 29-11-2011
- 7. 7/13 Storytelling module (under construction) IMA simulator Erlangen, 29-11-2011
- 8. 8/13 Storyboarding module IMA simulator Milano, 22-04-2012
- 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