1. Research Driven Decision Making for
Advanced Learning Technology
Integration
Nada Dabbagh
Susan Dass
AECT 2012, Louisville, KY

2. Agenda
Introduction
• Background
• Immersion Program
Theoretical Framework
• ILDF
Application of ILDF Framework
• Exploration Phase
• Enactment Phase
• Evaluation Phase
LATIST Demo
Educational Implications

3. Background
Project 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. AT&L Performance Learning Model

5. Immersion Program
http://immersion.gmu.edu
http://immersion09.onmason.com/

6. Instructional Design Methodology
Integrative Learning Design Framework (ILDF)
(Dabbagh & Bannan-Ritland, 2005)

7. Application of ILDF Framework

8. Exploration Phase Methods

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. Conceptual Model

11. LATIST
Learning Asset Technology Integration Support Tool

12. Enactment Phase Methods
Usage Centered Design
Model Techniques
Role Modeling Scenarios
Use Cases
Task Modeling Task Knowledge
Information Process
Content Modeling Taxonomies

13. Electronic Performance Support System
(EPSS)
• On the job
• Just in time
• Integrated
• User control
• Selected content

14. LATIST Objectives
Explore Research
• Examine advantages, disadvantages, and best practices
• Explore what the research says about learning technologies
Select Best Technology
• Select instructional strategies and learning technologies
based on objectives
• Select appropriate technologies for DAU specific factors
Apply Technology
• View real world examples of technology used in government
and other settings
• Access technologies to practice for your learning assets

15. LATIST Development Team
Bean Creative

16. Prototype Wireframes

17. Evaluation Phase Methods

18. LATIST Demo
DAU Prototype
http://latist1.gmu.edu
GMU Version
http://latist.gmu.edu

19. Educational Implications
Customizable 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 technologies
Research Based Tool
• Advanced Learning Technologies
• Instructional design principles and processes
Scalable design
• Modifiable database
• Updatable content
Next Steps

20. Contact Information
• Nada Dabbagh
• ndabbagh@gmu.edu
• Susan Dass
• sdass@gmu.edu