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Learner Engagement and Motivation to Learn Assessment and Monitoring System

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-19-C-6964
Agency Tracking Number: F2-10313
Amount: $749,925.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: AF17A-T009
Solicitation Number: 17.A
Solicitation Year: 2017
Award Year: 2019
Award Start Date (Proposal Award Date): 2018-11-07
Award End Date (Contract End Date): 2020-05-29
Small Business Information
3504 Lake Lynda Drive Ste. 400
Orlando, FL 32817
United States
DUNS: 075104708
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Brent Winslow
 Division Head, Biosignature Analytics
 (407) 706-0977
Business Contact
 Sara Dechmerowski
Phone: (407) 706-0977
Research Institution
 Florida Institute of Technology (FIT)
 Dr. Meredith Carroll Dr. Meredith Carroll
3012 Engineering Street
Melbourne, FL 32901
United States

 (321) 674-8374
 Nonprofit College or University

Training can now be delivered on a large scale through emerging platforms, but training must be engaging to be effectively utilized. Key to providing training that makes a difference in the field is an understanding of how to induce high levels of engagement during learning and the ability to objectively assess engagement in real-time so that interventions can be tailored during training to optimize engagement and maximize learning. Previously self-reported metrics or expensive EEG-based measures are not appropriate for large-scale platforms. Design Interactive Inc. (DI) with support from Florida Institute of Technology (FIT) proposes development of the Noninvasive Gauge to Assess and Utilize Goal-oriented Engagement (NGAUGE), a measurement system that integrates noninvasive physiological monitoring with subjective self-report to directly measure engagement in classroom, simulation, and live training sessions. When completed, NGAUGE will be capable of monitoring, assessing, and tracking learner engagement across learning situations and contexts and will provide real-time and after-action feedback for how to adjust training to optimize engagement. Phase II will include a classifier expansion study, full system development, training effectiveness and usability evaluations, and transition planning/ reporting.

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

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