Adaptive, individualized training assessment capability (AITAC)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-12-M-0248
Agency Tracking Number: O113-CR1-4053
Amount: $149,918.00
Phase: Phase I
Program: SBIR
Awards Year: 2012
Solicitation Year: 2011
Solicitation Topic Code: OSD11-CR1
Solicitation Number: 2011.3
Small Business Information
3600 Green Court, Suite 600, Ann Arbor, MI, -
DUNS: 009485124
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Robert Wray
 Senior Scientist
 (919) 967-5079
 wray@soartech.com
Business Contact
 Andrew Dallas
Title: Vice President, Federal Systems
Phone: (734) 887-7603
Email: contracts@soartech.com
Research Institution
 Stub
Abstract
The revolution in simulation and virtual technologies for training is enabling learners to practice skills and learn in realistic environments. Researchers are also seeking to develop algorithms that can tailor learner practice to the estimated abilities and needs of individual students, offering the promise of individual adaptation to each learner"s dynamically evolving zone of proximal development. Such systems will likely improve learning outcomes, reduce learner frustration, and mitigate the need for artificial (out of domain) scaffolding. However, such adaptive training requires that a learning environment estimate student proficiency and need as learning progresses and most approaches assume that the primary assessment dimensions are known in advance, which limits the ultimate effectiveness of adaptive training systems. What would be preferable is the ability of the system to assess progress and stumbling blocks within the environment and diagnosis and measure these deficits in terms of dimensions"outside"of the a priori trainee representation. We propose a direct questioning approach, building on domain ontologies and prior work in machine learning of student proficiency modeling, along with dynamic assessment and tailoring, to build a more accurate and more extensible representation of individual trainees.

* Information listed above is at the time of submission. *

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