Building Bridges for AI within Enterprise Data Architectures: a use case leveraging a Learning Engineering approach in the domain of synthetic training
At the recent GIFTSym11, we presented recent applied research regarding the similarities between the function of AI-enabled intelligent tutoring systems and the process of Learning Engineering.
Extending the Total Learning Architecture into the World of Experiential Learning and Synthetic Training
With an objective to provide “a data strategy for measuring the longitudinal impact of synthetic, semi-synthetic, and live training experiences on individual and team competency development,” STEEL-R brings together a variety of standards-based capabilities from the world of synthetic scenario design with the core standards-based capabilities of ADL’s Total Learning Architecture (TLA).