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A Linked Knowledge Base for
     Simulation Learning


     Irene Celino and Daniele Dell’Aglio

   CEFRIEL, ICT Institute, Politecnico di Milano
              http://swa.cefriel.it, http://iricelino.org
                  http://www.pandoraproject.eu


   Linked Learning Workshop at ESWC 2011 – Heraklion, Greece – May 29th 2011
Simulation Learning
Characteristics and aims
       Improve Soft Skills, especially Decision-Making
       Effective and Engaging Learning
       Re-create a near-real environment
              Cheaper than on-the-field training
              More effective than table-top training


PANDORA project scenario: Crisis Management Training
       Trainees are "Gold Commanders": strategic roles in the decision-
       making process who monitor a crisis situation and takes decision to
       be dispatched to tactical agents ("Silver Commanders")




A Linked Knowledge Base for Simulation Learning        2   Linked Learning Workshop at ESWC 2011
Knowledge in Simulation Learning
Requirements in terms of Knowledge Management
       Scenario descriptions
       Events and stimuli for the trainees
       Storyboards for the learning sessions
       Multimedia assets
       Supporting documents and guidelines
       Trainees description and behaviour/decisions
       Learning session monitoring

Role of the Exercise Director (Trainer) in traditional SL
       Define the exercise storyboard and ensure its planned execution
       Feed information to the trainees and let them make informed decisions
              Inputs at pre-set intervals, regardless of the previous responses; or
              By timing the inputs on the basis of the trainer judgment and experience
       Facilitate rather than orchestrate the exercise
              Minimal trainer intervention to let trainees recognise and correct problems
              Decide how much advice to trainees

A Linked Knowledge Base for Simulation Learning           3       Linked Learning Workshop at ESWC 2011
The need for a smarter solution...
An automated way to "play" the storyboard
       Planning and Scheduling technology to support feeding the stimuli
       to trainees


A consistent way to interlink and maintain knowledge
       Linked Data and Semantic Web technologies to model and
       maintain the knowledge for the simulation storyboards and the
       training sessions recording




A Linked Knowledge Base for Simulation Learning                4    Linked Learning Workshop at ESWC 2011
Simulation Learning Architecture


                                                      Simulation                    Trainer
                                                      PLANNING



                            Behaviour               Simulation         Learning
                             SENSING                                   DELIVERY
                                                     Learning


                                         Simulation Learning Environment




                                                      Trainees

A Linked Knowledge Base for Simulation Learning                    5       Linked Learning Workshop at ESWC 2011
Modelling
                     Behaviour                                 Learning
                      SENSING                                  DELIVERY


Trainee profile                                   Asset modelling
       Registry data                                  Scenario description
       Psychological data                             Audio and video assets
              Before the training                     NPC (Non-Player
              session (questionnaire)                 Characters)
              During the training
              session (self-
              assessment)
       Physiological data                         (this part of the modelling is more
              Holter monitoring                   similar to "usual" learning objects
              (heartbeat)                         modelling)


A Linked Knowledge Base for Simulation Learning         6       Linked Learning Workshop at ESWC 2011
Planning Knowledge
                                                    Simulation
                                                    PLANNING

Simulation Events
       Different communication media (email, video news, phone calls, ...)
       Trainees' Decisions
Causality
       Timeline-based Planning
       "Synchronizations" (or Planning Rules)
              On the basis of a happened event, what other events can be triggered
              on what conditions and in which timeframe


                                    tpl:Event          tpl:hasPlanningRule
        tpl:hasValue                                     (isReferenceOf)



                                                                                 tpl:hasRuleRelation
                                 tpl:hasTarget     tpl:PlanningRule
        tpl:RuleTarget                                                                                    tpl:RuleRelation
                                                  (Synchronization)

A Linked Knowledge Base for Simulation Learning                              7              Linked Learning Workshop at ESWC 2011
Provenance Tracking for Planning
                                 Learning Session

                                                       wasGeneratedBy(R)
                       used(R)
     A1                                       P                            A2

Event or Decision                                                   Event or Decision

                                    wasControlledBy(R)
                                                               Completion and Inference rules
                                                               of the OPM
                                                                    Consistency checking of the
                                            Ag                      simulation modelling (at design
                                                                    time)
                                  Trainees or NPC
                                                                    Analysis of average trainee
                                                                    decisions to discover common
                                                                    behaviours (after learning
                                                                    sessions)

     A Linked Knowledge Base for Simulation Learning                       8       Linked Learning Workshop at ESWC 2011
A Linked Knowledge Base

                                    Simulation Learning Environment
                                                    other system components




                                Training GUI
                                 Simulation
                                                     Simulation
Trainees                                               Planner
                                                                                           Web of
                                                                                         Linked Data
                                Trainer




                                                        Knowledge
                                  GUI




 Trainer
                                                          Base




  A Linked Knowledge Base for Simulation Learning                        9    Linked Learning Workshop at ESWC 2011
Some notes on the deployment
        Pandora Environment                                             Pandora Environment
         Local Installation 1                                            Local Installation 2


            Pandora Box                                                     Pandora Box



                 Local                                                         Local
                  KB                                    Global                  KB
                                                          KB

                                                  Web of Linked Data
      LAN boundary                                                               LAN boundary




Distinction between local ald global uner two perspectives:
       Private vs. public (preserve confidentiality and privacy)
       Commercial vs. non commercial (scenario description is a business
       asset for learning organizations!)

A Linked Knowledge Base for Simulation Learning                        10       Linked Learning Workshop at ESWC 2011
Lessons learned
Knowledge technologies are crucial for simulation learning
Linked Data technologies can be exploited to
       Reuse and link to pre-existing knowledge
       Share simulation modelling between different systems
Semantic Web technologies are useful
       "A little semantics goes a long way"
       Some reasoning can be used for consistency checking (Open
       Provenance Modelling)




A Linked Knowledge Base for Simulation Learning   11    Linked Learning Workshop at ESWC 2011
Thanks for your attention! Any question?
    A Linked Knowledge Base for Simulation Learning
       Paper Authors: Irene Celino, Daniele Dell'Aglio




   Contact: Irene Celino – Semantic Web Practice
    CEFRIEL – ICT Institute, Politecnico di Milano
    email: irene.celino@cefriel.it – web: http://swa.cefriel.it
              personal website: http://iricelino.org
      phone: +39-02-23954266 – fax: +39-02-23954466
     slides available at: http://www.slideshare.net/iricelino

        Linked Learning Workshop at ESWC 2011 – Heraklion, Greece – May 29th 2011

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A Linked Knowledge Base for Simulation Learning

  • 1. A Linked Knowledge Base for Simulation Learning Irene Celino and Daniele Dell’Aglio CEFRIEL, ICT Institute, Politecnico di Milano http://swa.cefriel.it, http://iricelino.org http://www.pandoraproject.eu Linked Learning Workshop at ESWC 2011 – Heraklion, Greece – May 29th 2011
  • 2. Simulation Learning Characteristics and aims Improve Soft Skills, especially Decision-Making Effective and Engaging Learning Re-create a near-real environment Cheaper than on-the-field training More effective than table-top training PANDORA project scenario: Crisis Management Training Trainees are "Gold Commanders": strategic roles in the decision- making process who monitor a crisis situation and takes decision to be dispatched to tactical agents ("Silver Commanders") A Linked Knowledge Base for Simulation Learning 2 Linked Learning Workshop at ESWC 2011
  • 3. Knowledge in Simulation Learning Requirements in terms of Knowledge Management Scenario descriptions Events and stimuli for the trainees Storyboards for the learning sessions Multimedia assets Supporting documents and guidelines Trainees description and behaviour/decisions Learning session monitoring Role of the Exercise Director (Trainer) in traditional SL Define the exercise storyboard and ensure its planned execution Feed information to the trainees and let them make informed decisions Inputs at pre-set intervals, regardless of the previous responses; or By timing the inputs on the basis of the trainer judgment and experience Facilitate rather than orchestrate the exercise Minimal trainer intervention to let trainees recognise and correct problems Decide how much advice to trainees A Linked Knowledge Base for Simulation Learning 3 Linked Learning Workshop at ESWC 2011
  • 4. The need for a smarter solution... An automated way to "play" the storyboard Planning and Scheduling technology to support feeding the stimuli to trainees A consistent way to interlink and maintain knowledge Linked Data and Semantic Web technologies to model and maintain the knowledge for the simulation storyboards and the training sessions recording A Linked Knowledge Base for Simulation Learning 4 Linked Learning Workshop at ESWC 2011
  • 5. Simulation Learning Architecture Simulation Trainer PLANNING Behaviour Simulation Learning SENSING DELIVERY Learning Simulation Learning Environment Trainees A Linked Knowledge Base for Simulation Learning 5 Linked Learning Workshop at ESWC 2011
  • 6. Modelling Behaviour Learning SENSING DELIVERY Trainee profile Asset modelling Registry data Scenario description Psychological data Audio and video assets Before the training NPC (Non-Player session (questionnaire) Characters) During the training session (self- assessment) Physiological data (this part of the modelling is more Holter monitoring similar to "usual" learning objects (heartbeat) modelling) A Linked Knowledge Base for Simulation Learning 6 Linked Learning Workshop at ESWC 2011
  • 7. Planning Knowledge Simulation PLANNING Simulation Events Different communication media (email, video news, phone calls, ...) Trainees' Decisions Causality Timeline-based Planning "Synchronizations" (or Planning Rules) On the basis of a happened event, what other events can be triggered on what conditions and in which timeframe tpl:Event tpl:hasPlanningRule tpl:hasValue (isReferenceOf) tpl:hasRuleRelation tpl:hasTarget tpl:PlanningRule tpl:RuleTarget tpl:RuleRelation (Synchronization) A Linked Knowledge Base for Simulation Learning 7 Linked Learning Workshop at ESWC 2011
  • 8. Provenance Tracking for Planning Learning Session wasGeneratedBy(R) used(R) A1 P A2 Event or Decision Event or Decision wasControlledBy(R) Completion and Inference rules of the OPM Consistency checking of the Ag simulation modelling (at design time) Trainees or NPC Analysis of average trainee decisions to discover common behaviours (after learning sessions) A Linked Knowledge Base for Simulation Learning 8 Linked Learning Workshop at ESWC 2011
  • 9. A Linked Knowledge Base Simulation Learning Environment other system components Training GUI Simulation Simulation Trainees Planner Web of Linked Data Trainer Knowledge GUI Trainer Base A Linked Knowledge Base for Simulation Learning 9 Linked Learning Workshop at ESWC 2011
  • 10. Some notes on the deployment Pandora Environment Pandora Environment Local Installation 1 Local Installation 2 Pandora Box Pandora Box Local Local KB Global KB KB Web of Linked Data LAN boundary LAN boundary Distinction between local ald global uner two perspectives: Private vs. public (preserve confidentiality and privacy) Commercial vs. non commercial (scenario description is a business asset for learning organizations!) A Linked Knowledge Base for Simulation Learning 10 Linked Learning Workshop at ESWC 2011
  • 11. Lessons learned Knowledge technologies are crucial for simulation learning Linked Data technologies can be exploited to Reuse and link to pre-existing knowledge Share simulation modelling between different systems Semantic Web technologies are useful "A little semantics goes a long way" Some reasoning can be used for consistency checking (Open Provenance Modelling) A Linked Knowledge Base for Simulation Learning 11 Linked Learning Workshop at ESWC 2011
  • 12. Thanks for your attention! Any question? A Linked Knowledge Base for Simulation Learning Paper Authors: Irene Celino, Daniele Dell'Aglio Contact: Irene Celino – Semantic Web Practice CEFRIEL – ICT Institute, Politecnico di Milano email: irene.celino@cefriel.it – web: http://swa.cefriel.it personal website: http://iricelino.org phone: +39-02-23954266 – fax: +39-02-23954466 slides available at: http://www.slideshare.net/iricelino Linked Learning Workshop at ESWC 2011 – Heraklion, Greece – May 29th 2011