Extending the Total Learning Architecture into the World of Experiential Learning and Synthetic Training

STEEL-R is a project that extends the capabilities of 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).

The following was nominated as Best Paper at I/ITSEC 2022 and provides an overview of the entire STEEL-R ecosystem of data objects and standards as well as a discussion about what this means for people designing or acquiring new components to establish their own modern learning data ecosystem.

Read: Enhancing the Total Learning Architecture for Experiential Learning

Working on synthetic training and Live, Virtual, & Constructive (LVC) simulation? Looking to connect those capabilities to the power of experiential learning analytics? Get in touch, we’d love to hear about your work.