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Research Driven Decision Making for Advanced Learning Technology
Integration
Nada DabbaghSusan Dass
AECT 2012, Louisville, KY
AgendaIntroduction
• Background
• Immersion Program
Theoretical Framework
• ILDF
Application of ILDF Framework
• Exploration Phase
• Enactment Phase
• Evaluation Phase
LATIST Demo
Educational Implications
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.
AT&L Performance Learning Model
Immersion Program
http://immersion.gmu.edu
http://immersion09.onmason.com/
Instructional Design Methodology
Integrative Learning Design Framework (ILDF) (Dabbagh & Bannan-Ritland, 2005)
Application of ILDF Framework
Exploration Phase Methods
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
Conceptual Model
LATIST
Learning Asset Technology Integration Support Tool
Enactment Phase Methods
Usage Centered Design
Model TechniquesRole Modeling Scenarios
Use Cases
Task Modeling Task KnowledgeInformation Process
Content Modeling Taxonomies
Electronic Performance Support System
(EPSS)
• On the job• Just in time• Integrated • User control• Selected content
LATIST Objectives
• Explore what the research says about learning technologies
Explore Research• Examine advantages, disadvantages, and best practices
Select Best Technology• Select instructional strategies and learning technologies based on objectives• Select appropriate technologies for DAU specific factors
Apply Technology
• Access technologies to practice for your learning assets
• View real world examples of technology used in government and other settings
LATIST Development Team
Bean Creative
Prototype Wireframes
Evaluation Phase Methods
LATIST Demo
DAU Prototype
http://latist1.gmu.edu
GMU Version
http://latist.gmu.edu
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
