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Training in a Dynamic Environment “The Role of Data Standards”

Training in a Dynamic Environment “The Role of Data Standards”. Dennis Raitz Associate Technical Fellow – Technical Data Boeing. Learning Content Management System. Classroom Instruction. Training Developers. Computer Based Training. Common Source Database. IETP.

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Training in a Dynamic Environment “The Role of Data Standards”

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  1. Training in a Dynamic Environment “The Role of Data Standards” Dennis Raitz Associate Technical Fellow – Technical Data Boeing

  2. Learning Content Management System Classroom Instruction Training Developers Computer Based Training Common Source Database IETP Technical Data Writers Paper Base data Traditional Environment

  3. Traditional Data Environment Yet: • Both Start With LSA • Both Use Engineering Data • Every Task in Training is in IETP • Some IETP and Training Data Identical • Many Graphic Views Are Identical

  4. Today’s Environment • Less time spent in formal Classrooms • Movement to Anytime/Anywhere Training. • User wants access to information of multiple types. • Increased focus on Performance Support. • Focus on “Information” management

  5. Integrated Data Environment Computer Based Training Training Developers Integrated Data Repository EPSS IETP Technical Data Writers Paper Base data

  6. Why an Integrated Data Environment ? Enhance Performance Support Reduce Product Life Cycle Costs

  7. What is an EPSS? Electronic Performance Support System (EPSS) Defined as: “An electronic performance support facility that is able to access and manipulate large amounts of task-related information in order to provide workers with a dynamic task mentoring and problem solving capability as well as opportunities for continuous learning.”

  8. Integrated Data Environment • Separate Content, Context, and user • Right Information at the right time to the right individual in the right way • Integrated Data/Information System • Integration of today’s data delivery systems • EPSS • IETP • CBT/WBT

  9. Goal of an Integrated Data Environment User Content Context Information delivery is based on user profile and situational requirements

  10. User has Competency requires teaches Activity Competency Models Competency Models provide the capability to deliver custom training, procedural Workflows, and individualized content packages based on activity requirements and user profile.

  11. Competency Models • Captures the degree of proficiency a user has with a specific skill or operational objective. • Users will either possess or not possess competencies. • Certain activities will require a set of competencies to enable a user to successfully complete the package. • Static vs. Dynamic competencies.

  12. Integrated Data Environment • “Higher Value” Model • Models business policies/behavior on objects • Describes information either does not exist in content objects or … • Is distilled from content objects Information Meta Model • May be PDF, SGML, XML, HTML, 3D model etc • May conform to various standards S1000D, SCORM, ATA-100, 38784, … Content Objects

  13. InformationalModelArchitecture Job Domain Knowledge Competency requires, teaches sequences exercises Activity supports uses Content System requires Tool, Consumable, SE • Conceptually a graph of nodes described by attributes connected by relationships

  14. Maintenance Facility Produced as OTF context focused output Training EPSS Structured Knowledge Base - information linked with Training and IETP Tech Docs & Data ------ System Specific Maintenance Dynamic Assembly Data Selection of contextual information for particular activity Inventory Other support data and links Information Management Environment School House IPT & Worksite Training CBT/CAI with linked IETPs Produced as defined output Tech Doc & Data IETPs with linked Training TD T Integrated Data Environment

  15. Integrated Information Developers Effect on Integrated Data Environment Integrated Data Environment Computer Based Training Integrated Data Repository (CSDB) EPSS IETP Paper Base data

  16. Role of ADL/SCORM in an Integrated Environment • Learning Object Metadata (LOM) • Attributes that describe the object but are not part of the object itself • 9 categories of elements however only 1 identifies the context of instruction • Content Aggregation Model • Assets, SCO, content packages • Data Communication (API “wrappers”) • Used to transfer data to and from the LMS

  17. Content Object Tagging • Meta Data describes objects. • Aids in the discovery, re-use and re-purposing of objects • Meta Data Modeling/Extraction Issues • Internal vs. External descriptor of objects. • System Generated vs. Human Input. • Meta Data Standards. • Dublin Core • IEEE LOM • ADL/SCORM

  18. Image Image Image Image Audio Animation Animation Animation Text Text Text Text Text Text Text Text Data Data Content Object Granularity Asset Content Object EPSS Package

  19. Role of S1000D in an Integrated Environment • Data structure • Additional Meta Data tags • Provided by S1000D – not provided by the LOM • Data module identification • Effectivity • Applicability • Common Source Database • Competency Model representation

  20. Data Module PaulHaslam Data Module Denny Raitz Data Module Data Module Role of S1000D in an Integrated Environment CSDB For a given task: No need for training information Presented with: The requiredmaintenance and maintenance related information High Competency Value However, all the information still remains in the CSDB • For a given task: • Needs full training information • Presented with: • An introduction • A description of “the Materiel • Theory of operation • The operating procedures • Fault diagnostics • Corrective maintenance tasks • Preventive maintenance schedules/tasks • Functional tests • Evaluation Depending on evaluation, appropriate changes can be made to Paul Haslam’s competency value so that the next time he does not need the full training Low Competency Value

  21. Issues in establishing Integrated Environment • Object-oriented development • From large, static systems • To reusable content components • Object Reuse is the key • Separate Content from Context • Object Modeling • Content management influence

  22. Technical Issues • Object Granularity • Object Tagging • Object associations • model relationships between objects • Object Versioning • generic and specific version identity

  23. Tag Tag Tag Content Package Tag Tag SCO Assets Object Granularity ADL S1000D Process Data Module Data Module DM Node • Set of Business Rules must be established to identify granularity of data

  24. Object Tagging • Used LOM as basis • Identified Attributes not required • Broaden list of attributes • Replaced Educational Category • Object associations • model relationships between objects • Object Versioning • generic and specific version identity

  25. Conclusions • It can be done • Needs up front investment • Needs coordination from standards groups. • Significant savings downstream • Better support, just in time

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