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Dabbagh-Dass LATIST AECT-2012


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Dabbagh-Dass LATIST AECT-2012

  1. 1. Research Driven Decision Making for Advanced Learning Technology Integration Nada Dabbagh Susan Dass AECT 2012, Louisville, KY
  2. 2. AgendaIntroduction• Background• Immersion ProgramTheoretical Framework• ILDFApplication of ILDF Framework• Exploration Phase• Enactment Phase• Evaluation PhaseLATIST DemoEducational Implications
  3. 3. BackgroundProject Goal:• Examine current DAU training programs and learning products to identify processes and methods for utilizing advanced learning technologies (ALT) within DAU learning modalities.
  4. 4. AT&L Performance Learning Model
  5. 5. Immersion Program
  6. 6. Instructional Design Methodology Integrative Learning Design Framework (ILDF) (Dabbagh & Bannan-Ritland, 2005)
  7. 7. Application of ILDF Framework
  8. 8. Exploration Phase Methods
  9. 9. Findings• DAU relies on multiple roles and responsibilities, internal and external to the organization, to develop learning assets• DAU uses an IPT (Integrated Product Team) approach to develop learning assets• DAU does not have a formal process to select and integrate pedagogically appropriate ALT• DAU does not have a sandbox
  10. 10. Conceptual Model
  11. 11. LATISTLearning Asset Technology Integration Support Tool
  12. 12. Enactment Phase Methods Usage Centered DesignModel TechniquesRole Modeling Scenarios Use CasesTask Modeling Task Knowledge Information ProcessContent Modeling Taxonomies
  13. 13. Electronic Performance Support System (EPSS) • On the job • Just in time • Integrated • User control • Selected content
  14. 14. LATIST ObjectivesExplore Research • Examine advantages, disadvantages, and best practices• Explore what the research says about learning technologiesSelect Best Technology• Select instructional strategies and learning technologies based on objectives• Select appropriate technologies for DAU specific factorsApply Technology• View real world examples of technology used in government and other settings• Access technologies to practice for your learning assets
  15. 15. LATIST Development Team Bean Creative
  16. 16. Prototype Wireframes
  17. 17. Evaluation Phase Methods
  18. 18. LATIST DemoDAU Prototypehttp://latist1.gmu.eduGMU Version
  19. 19. Educational ImplicationsCustomizable Performance Support Tool • Support K-12 teachers looking to accommodate the gamer generation • Corporate leadership looking to grasp implications of new technologies • SME trying to find a good technology fit for their content • Instructional designers wanting to understand the pedagogical affordances of learning technologiesResearch Based Tool • Advanced Learning Technologies • Instructional design principles and processesScalable design • Modifiable database • Updatable contentNext Steps
  20. 20. Contact Information• Nada Dabbagh •• Susan Dass •