Dignitas Awarded Flexible and Live Adaptive Training Tools (FLATT) Phase II SBIR


Posted on February 8, 2021

Dignitas Technologies, LLC (Dignitas) has been awarded the Flexible and Live Adaptive Training Tools (FLATT) Phase II SBIR.  The FLATT technology will add additional flexibility, intuitiveness, and robustness to our service-oriented architecture (SOA)-based Generalized Intelligent Framework for Tutoring (GIFT) authoring tool to rapidly implement trainee state-driven customizations (TSCs) of virtual training environments (VTEs). Trainers will be able to increase the effectiveness of training solutions by characterizing a learner’s state and then adapting the training. 


FLATT addresses a common problem in the flexible use of adaptive learning systems across a wide variety of domains by instructional designers. Our development plan includes integration with the VBS game environment, which benefits the many training and research instances in active use by DoD, academia, and industry. The VBS transition addresses the needs of the Games For Training (GFT) program for an ability to easily incorporate adaptive learning.  


FLATT development also includes integration with the virtual training tool used by the Synthetic Training Environment (STE) to benefit future Army training initiatives. The transition to STE recognizes the direction of the training industry away from GFT to the STE gaming environment for training. STE is in its initial stages of development and Dignitas is involved with technology injection for adaptive learning. 


Dignitas Technologies, LLC, a Certified Woman-Owned Small Business, founded in 2004, is providing system and software engineering services for the modeling and simulation community with a mission to shape the future of simulation with innovative technology. Dignitas leads several Small Business Innovation Research projects and supports a wide range of large and small programs spanning the Live, Virtual, and Constructive domains across a diverse customer set. Dignitas has extensive experience and successful past performance in the development of key simulation systems and provides expertise in management, research, engineering, and programming.