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ADL@ASU Home Page


       Overview        Capabilities       Research          Members


The ASU ADL Partnership Lab’s primary focus will be on exploratory learning environments which are more task than content oriented. This includes learning that takes place in simulated environments, context-aware performance support, and just-in-time learning to support on-the-job performance of individuals and teams. The lab is looking to a future that moves beyond the traditional training “course." It is looking towards a new paradigm for learning that is lifelong and integrates with everything we do.

Advanced Distributed Learning (ADL)

The ADL Initiative began as a DoD-wide program in the 1990s and continues to have defense personnel as core constituents. Today’s stakeholders are from a wider background that includes government, industry and academia. The mission of this US government program is to promote best practices for distributed learning that is of highest-quality training, informal learning, and just-in-time support for individual needs that are cost-effective for anytime anywhere learning.

ADL research is focused on six general areas:

  • e-Learning (web-based learning)
  • Mobile learning and mobile performance support
  • Learning analytics and performance modeling
  • Learning theory
  • Total Learning Architecture infrastructures (TLA)
  • Web-based Virtual Worlds and simulation (VWs)

Three areas of effort pursued by the ADL Initiative are:

  • Thought leadership
  • R&D innovation
  • Outreach and transition

Results of ADL’s efforts and collaboration can be found on their website.


Scotty D. Craig

Craig is an Associate Professor in the Human Systems Engineering Program within the Ira A. Fulton Schools of Engineering at ASU. His goal is to provide cutting-edge research at the intersection of human cognition, technology, and the learning sciences which provides solutions to real-world problems within education and training. His current research focuses on improving learning with higher-level cognition factors such as comprehension, discourse, and cognitive-affective states through the use of virtual humans within technological environments. Education: Ph.D., Experimental Psychology (Cognitive), The University of Memphis.




News & Events

Science of Learning and Readiness (SoLaR) project complete!
Scotty Craig, PI | June 6th, 2021
Check out the reports from our work:

Tutoring and Intelligent Tutoring Systems
Scotty Craig, Editor | October 6th, 2018

xAPI Version 1.0.3 Released 
By ADL Team Member | September 21st, 2016
This week, Experience API (xAPI) version 1.0.3 was released.
You can find the newest version of the specification here on GitHub