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Knowledge Extraction for the Evaluation of Learning

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-23-C-0651
Agency Tracking Number: N23A-T014-0109
Amount: $139,993.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N23A-T014
Solicitation Number: 23.A
Timeline
Solicitation Year: 2023
Award Year: 2023
Award Start Date (Proposal Award Date): 2023-08-09
Award End Date (Contract End Date): 2024-02-06
Small Business Information
11350 Random Hills Road Suite 110
Fairfax, VA 22030-1111
United States
DUNS: 784255809
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 William Matuszak
 (401) 236-2531
 Bill.Matuszak@indepth.com
Business Contact
 Adam Lucariello
Phone: (703) 592-0762
Email: adam.lucariello@indepth.com
Research Institution
 CUBRC
 Adam Czerniejewski
 
4455 Genesee St., Suite 106
Buffalo, NY 14225-1955
United States

 (716) 204-5219
 Domestic Nonprofit Research Organization
Abstract

To maintain undersea dominance in an environment of near peer adversaries the Navy must deploy new capabilities rapidly. In response, development contractors are adopting a DevSecOps culture with agile processes to meet the demand for new technology deployment. To keep pace, the training community needs innovative technology to rapidly update training knowledge bases and automatically generate exams and answer keys to measure sailor proficiency on new capabilities. In this project we propose the Knowledge Extraction for the Evaluation of Learning (KEEL) system to meet this Navy requirement. KEEL provides Artificial Intelligence (AI), Machine Learning (ML), Data Mining and Natural Language Processing (NLP) to develop training material and test operator proficiency in-stride with system updates.

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

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