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

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

Contact Information

• Nada Dabbagh• ndabbagh@gmu.edu

• Susan Dass• sdass@gmu.edu