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Can Acquiring Structured Data Improve a Learning Content Development Environment?

Can Acquiring Structured Data Improve a Learning Content Development Environment?. Mr. Wayne Gafford Advanced Distributed Learning (ADL) Mr. Schawn E. Thropp Concurrent Technologies Corporation ( CTC ). Focus and Takeaways. Problem Statement Structured Data and its Benefits

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Can Acquiring Structured Data Improve a Learning Content Development Environment?

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  1. Can Acquiring Structured Data Improve a Learning Content Development Environment? Mr. Wayne Gafford Advanced Distributed Learning (ADL) Mr. Schawn E. Thropp Concurrent Technologies Corporation (CTC)

  2. Focus and Takeaways • Problem Statement • Structured Data and its Benefits • NPS Survey Summary • Structured Data Acquisition Policy Overview • Cost Benefit Analysis

  3. Problem Statement • Technical learning content not aligned with authoritative source information • Minimal governance or standardization for enterprise data acquisition through lifecycle maintenance

  4. A Quantitative Fact Supporting the Need for Integrated Distributed Learning Content Development and Management “Of the 408 projects submitted for Computer-Based Training and PC-Simulation Maintenance, two-thirds reported the primary reason for the maintenance request was due to equipment or publication changes. Better integration of technical information with training would alleviate some of this rework.” Computer-Based Training & Personal Computer-Simulation Prioritization and Cost Estimation Assessment for NETC COO Supporting FY10/11 Spend Plan and POM12 Submittal (NETC 2009)

  5. Structured Markup & Acquisition • Structured technical content based on technical data specifications is one cornerstone to enabling best practices in learning content management and development environments. • Benefits: • Ensure logistical support analysis is linked to product support. • Trace spiral development datadevelopment. • Align tech data products tofielded and configured systems.

  6. Structured Data and its Benefits • Formal representation of data (separated from context) • HTML, S1000D, DITA, etc

  7. NPS Survey Summary Title: Should S1000D be required by DoD? Sponsor: OSD P&R Conducted by: Naval Postgraduate School (Oct 2009 – May 2010) Focus: Use of an XML based data markup specification  S1000D Should S1000D be required by DoD? • Survey shows programs and industry support DoD policy requiring structured data • Foster cooperation and integration between tech data and learning data • Link to NPS Survey on Use of S1000D

  8. Structured Markup in Acquisition Policies • DoD Instruction 5000.2 – Operation of the Defense Acquisition System • The Defense Acquisition Guidebook • DoD Directive 8320.02 – Data Sharing in Net-Centric DoD

  9. DoD Instruction 5000.2 • Flexible management framework for translating capability needs and technology opportunities into stable, affordable and well-managed acquisition programs • Data management intersections • Milestones A C references • “data management strategy” • Lifecycle sustainment considerations • Data management and technical data rights

  10. Defense Acquisition Guidebook (DAG) • Designed to compliment DoDI 5000.2 by providing tailorable best practices for acquisition workforce • Central Theme: Fostering Integrated Data Environments

  11. DoD Directive 8320.02 • Data Sharing in a Net-Centric DoD • Direct the use of resources to implement data sharing within the GIG • DAG  suggests compliance with 8320.02 is essential prerequisite • Creation and association of metadata • Promote semantic and structural agreements for data sharing • Structured data is a key ingredient • Unifies common content – cost effectively

  12. Cost Benefit Analysis – The Process • Use of S1000D for integrating technical learning content and technical data in a common source database • Goal: Reduction in the number of hours required to develop and manage technical information • Founded on 4 principles • Tech information structured in S1000D • Tech information stored in common source database • Connect learning content development tools to source data • Identify information that needs changed efficiently

  13. Cost Benefits Analysis - Results • Reduction of Life Cycle Support Hours • Technical Manual  490 hrs (6%) • One hour of courseware  66 hrs (16%) • Estimated 10-Year Savings • Range from $32M to $165.5M • Integrating HM&E tech manuals and CBT courses

  14. In conclusion… • Sample Text

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