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SISO SG overview

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Title: SISO SG overview


1
Introduction to SCORM-Simulation Interface
Standards Study Group
2
Joint Effort of the Key Stakeholders
  • One of the important challenges faced by
    designers and developers of learning, education
    and training technology is how to integrate
    simulation-based learning experiences with SCORM
    environments. This problem has many aspects, both
    pedagogical and technical. A clear first step is
    to enable SCORM content or Runtime Environments
    to invoke and communicate with simulations in a
    standardized and interoperable fashion. Such
    SCORM-Simulation Interface Standards will lower
    the cost of integration, lead to tools that save
    designers and developers time and money and help
    simulation vendors develop reusable simulations
    and components.

This language is in our chartering terms of
reference.
3
Study Group Org Chart
ISO Recognizes ANSI as representative of
volunteer consensus standardization in the US
The IEEE Standards Association is part of the IEEE
IEEE
ANSI Accredits IEEE Standards Association
IEEE Computer Society is part of the IEEE
IEEE CS Hosts Standards Sponsors under its
Standards Activities Board
The IEEE Standards Association recognizes Sponsors
LTSC is an IEEE Standards Sponsor
The SISO Standards Activities Committee is an
IEEE Standards Sponsor
SISO SAC is part of SISO
Current activity is here
Working Groups and Study Groups operate within
Standards Sponsors
4
SISO Vision
  • SISO is dedicated to the promotion of modeling
    and simulation interoperability and reuse for the
    benefit of diverse MS communities, including
    developers, procurers, and users, world-wide.

SISO Mission
SISOs mission is to provide an open forum that
promotes the interoperability and reuse of models
and simulations through the exchange of ideas,
the examination of technologies, and the
development of standards. http//www.sisostds.org
A discussion reflector has been established
5
LTSC Mission
  • The IEEE Learning Technology Standards
    Committee (LTSC) is chartered by the IEEE
    Computer Society Standards Activity Board to
    develop accredited technical standards,
    recommended practices, and guides for learning
    technology.
  • http//ieeeltsc.org/wg11CMI/cmi-sim

6
Scope From the SISO Study Group Terms of Reference
  • Call for position papers
  • Survey technical and pedagogical approaches taken
    to date
  • Determine where there is common ground
  • Discuss potential standardization efforts
  • Produce appropriate SISO PNs and/or PARs for IEEE
    standards projects

We are here!
Proposed Products
Complete
  • Compilation of position papers
  • Identification of potential standards
  • Multi-part PN/PAR for a set of standards whose
    development is seen as valuable and feasible
  • Final Report (the intent is to then turn this
    into a SISO PDG and/or IEEE Working Group)

7
Results of First Meeting
  • 2-3 February 2006
  • AICC Meeting, La Jolla, CA

8
Challenges to be Addressed
  • What is/are the architecture(s)
  • Is the SCO the correct integration point
  • Are there new interfaces?
  • State saving in simulations
  • Is it done in the simulation or in the training
    system?
  • Can it be used to replay the student
    activities for an instructor?
  • SCO granularity
  • Simulation 1 SCO?
  • Starting up and shutting down (joining and
    leaving) simulations
  • Persistence
  • Initializing the scenario
  • Launching and maintaining connectivity with
    multiple assets and/or SCOs
  • What counts as a simulation in the
    instructional context?
  • Taxonomy of simulations
  • What are the right axes?
  • Real time performance assessment
  • Where and how are assessment done?
  • Based on what data provided by whom?
  • Individual vs. team training

9
Assumptions
  • Run time environment doesnt need to know
    everything in the simulation, nor can the
    network/architecture support it
  • Need the appropriate level of abstraction for the
    instructional context
  • Assessment module can request specific
    information
  • The simulation must be able to report data to
    support assessment
  • The simulation does not have to be resident on
    the students computer
  • Security is a cold, hard reality deal with it!
  • No simulation interoperability standard is implied

10
Notional Tasks/Tiger Teams
  • Instructional use cases to be supported
  • Brandt Dargue Chris Bray
  • Taxonomy of simulations
  • Geoff Frank Katherine L. Morse, Shane Gallagher
  • Common architectural components and approaches
  • Avron Barr Robby Robson
  • Outreach to other training simulation communities
  • Lead ?
  • Proposed standards
  • Modifications to existing standards

Bi-weekly telecons 2nd 4th Wednesday each
month 0800 PT/1100 ET
11
Results of Second Meeting -Reports
fromInstructional Use Cases DargueTaxonomy of
Simulations FrankArchitecture Barr
  • 5 April 2006
  • 2006 Spring SIW, Huntsville, AL

12
Use Case Team Status
  • Mapped simulation uses to Learning Systems
    Architecture Lab Templates
  • Developed Generic Use Cases
  • Input into spreadsheet for survey study

13
Why a Taxonomy?
  • Provide a decision tree for Instructional System
    Designers considering using a simulation for
    learning.
  • Identify market segments that can benefit from
    standards for simulation-based learning systems
  • Suggest metadata to support selection of
    simulation systems to incorporate into learning
    systems.

14
Definitions
  • Simulation-Based Learning System (SBLS)
  • Definition Systems that use simulations to
    support learning
  • The primary users of these systems are learners,
    who exercise some level of control of what
    happens in the simulation
  • These systems are controlled by instructors to
    achieve learning objectives
  • Learners are assessed and learner records may be
    kept
  • These systems can be characterized by attributes
  • Taxonomy of SBLS
  • A taxonomy is a tree, where each leaf node
    defines a collection of possible SBLS that all
    have the same attribute values.
  • A node in the tree is characterized by an
    attribute and its value
  • All SBLS in the subtree under that node have the
    same attribute value.

15
Attribute Categories
  • Functional Attributes
  • Human Computer Interface Attributes
  • SBLS Operational Environment Attributes

16
Taxonomy Plan Forward
  • Obtain concurrence on the key attributes
  • Obtain concurrence on the priorities for the
    attributes (i.e., determine the tree structure of
    the taxonomy)
  • Add illustrative examples
  • Put the systems from the position papers into the
    taxonomy
  • Estimate market share for the different nodes of
    the taxonomy
  • Characterize standards needed for different nodes
    of the taxonomy

17
Architecture Teams Activity
  • Over a dozen position papers have been submitted
    and they are still coming in.
  • Additional position papers are welcome
  • Working meeting held in Orlando in February
  • 10 people spent half a day discussing 3 position
    papers
  • Another working meeting held in Boston in April

18
The Potential Impact of Standards-Based Content
Development
  • Cost savings when changing LMSs
  • Running a course on a different LMS than it was
    originally developed for
  • Sharing course materials a market for
    independent content developers that justifies
    greater investment
  • Findng best-of-breed course materials and
    rewarding the developers
  • Using training materials in real-time,
    performance support situations
  • Assembling new courses from existing materials
  • Repurposing existing course material vs. starting
    from scratch
  • Assembling a new course from existing content
  • Creating a student self-study guide using on-line
    materials
  • Extending SCORM to virtual training environments
    should produce similar benefits

19
Simulations and Related Training Technologies
  • Simulations, big and small
  • Games
  • PC games
  • On-line games
  • Multiplayer games
  • Virtual worlds
  • Intelligent Tutoring Systems
  • Because they often watch students activity in a
    simulated environment

20
Preliminary Considerations
  • Minimal impact on SCORM, LMSs, and existing
    simulations is preferable, and possible
  • Solutions may depend on type of simulation,
    implementation topology, and design
  • Legacy sims vs. new sims created for CMI browser
    vs. PC vs. server-based single vs. multiple
    students
  • In a VTE, learning objectives, SCOs, assessment
    are different
  • Scenario, conditions, roles, measures
  • The life cycle of instructional content and of
    simulations are often quite different

21
SCORM-Simulation Interoperability Issues
  • Non-browser delivery environments
  • Software distribution to clients
  • Network security within the DoD
  • Multiple simultaneous students (scheduling,
    lobby, )
  • Two-way runtime communication with simulation
  • Rolling up simulation activity into assessment
    measures
  • Instructional intervention during sim hints,
    coaching, tweaks, NPC actions,
  • AAR is an essential component of VTE-based
    training

22
Preliminary Architectural Notions
  • Extend the SCORM RTE with an assessment module
    API
  • Have LMS and simulation share data directly
  • Create a new software product category
    supplementing central LMS functionality
  • Extend RTE to support experiential training
  • Separate local training assets from centrally
    administered courses (local simulations, live
    training, )
  • Reports student progress back to LMS

23
Interested?...
  • Next mtg planned for August 23/24 in Orlando
  • POCs
  • Chair Brandt Dargue (brandt.w.dargue_at_boeing.com
    )
  • Vice Chair Geoffrey Frank (gaf_at_rti.org)
  • Secretary Brent Smith (brents_at_ecsorl.com)
  • SG web site http//www.sisostds.org/
  • go to study groups, then SCORM-Sim SG - SCORM
    - Simulation Interface Standards
  • Next conference call
  • Wed, 28 June, at 1100 EDT
  • 800-366-7242, passcode 66728.
  • 858-8266707

24
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