SBIR/STTR Research Award

Knowledge Extraction for the Evaluation of Learning

Award identifier 0cd58969ed371ae4f2b2e5b955c01f211620763c09ee9327b7d243933a78172aAwarding agency Department of Defense · Navy

Award amount

$139,993

Program and phase

STTR · Phase I

Award year

2023

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
IN-DEPTH ENGINEERING CORPORATION
Proposal award date
2023-08-09
Contract end date
2024-02-06
UEI
GC7MKAN5DG35
Solicitation number
23.A
Topic code
N23A-T014

Research 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.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

50 SBIR/STTR records share this UEI (2011–2025). Reported award amounts total $35,435,692. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Defense

Agency intelligence

Department of Defense

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