Tools for Rapid Automated Development of Expert Models (TRADEM)

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$999,905.00
Award Year:
2013
Program:
SBIR
Phase:
Phase II
Contract:
W911QX-13-C-0063
Agency Tracking Number:
A2-5323
Solicitation Year:
2012
Solicitation Topic Code:
A12-026
Solicitation Number:
2012.1
Small Business Information
Eduworks Corporation
136 SW Washington Ste 203, Corvallis, OR, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
111494303
Principal Investigator:
Robby Robson
President / Chief Scienti
(541) 753-0844
robby.robson@eduworks.com
Business Contact:
Steve Dunfield
COO
(541) 753-0844
steve.dunfield@eduworks.com
Research Institution:
Stub




Abstract
Intelligent tutoring systems (ITS) are complex adaptive learning systems that simulate one-on-one tutoring. Research shows they improve learning and reduce time to mastery. Unfortunately, they are also expensive and time-consuming to produce. Existing IT authoring tools eliminate low level programming but require that domain models, expert models and content be created manually. In Phase I of the Tools for Rapid Development of Expert Models (TRADEM) SBIR project Eduworks Corporation developed an innovative and efficient process for producing expert models. This process relies on natural language processing, artificial intelligence, and probabilistic semantic analysis. It can be used to rapidly transform existing instructional content into an expert model and ITS. In Phase II Eduworks will develop and optimize a prototype that implements this process. The prototype will leverage Eduworks Semantic Technology Engine and be tested in multiple domains. It will be used to produce model-tracing dialog-based tutors and constraint-based tutors. The Student Information Model for Integrated Learning Environments (SIMILE) developed by Engineering & Computer Simulations, Inc. will be used to map events in virtual worlds to expert models produced by the prototype. Results will be independently evaluated by researchers at the Institute for Intelligent Systems at the University of Memphis.

* information listed above is at the time of submission.

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