SBIR/STTR Research Award
Team Empirically based Accelerated learning Model and Multiplayer Adaptive Training Environment (TEAM-MATE)
Award amount
$140,000Program and phase
SBIR · Phase IAward year
2021Award details
- Awarding agency
- Department of Defense
- Branch
- Navy
- Recipient company
- IN-DEPTH ENGINEERING CORPORATION
- Proposal award date
- 2021-06-07
- Contract end date
- 2021-12-07
- UEI
- GC7MKAN5DG35
- Solicitation number
- 21.1
- Topic code
- N211-082
Research abstract
accelerated learning, accelerated learning, Multiplayer, pedagogical model, team training, Optimized Human Performance, Adaptive Training, Serious Games, Computer Based Training
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.
- High-velocity Adaptive electronic Warfare Kit
- Navy Artificial Intelligence Logistics Support for Aegis (NAILS-A)
- Wideband High-frequency Aquatic Life Echolocation System, Deployable
- Mission Planner Adaptive Trainer (MPAT)
- Transformer with Reinforcement and Actor- Critic for Edge-vectorization (TRACE)
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Accelerated Learning Model for Increased Strategic and Tactical Decision Making Using Multi-Player Games
- Accelerated Learning Model for Increased Strategic and Tactical Decision Making Using Multi-Player Games
- Constructing Expert Experiences to Accelerate Learning
- Framework for Accelerated Learning
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