Abstract
The silo-driven and restricted nature of data governing learning and workforce management remains a limiting factor in helping commanders and decision-makers recognizes strengths, weaknesses, and opportunities at the individual, group, and force level. Workforce information including training records, learner records, learner credentials and competencies, and available training resources are still not sufficiently interoperable across DoD systems.
Advanced Digital Learning (ADL), part of the OSD Personnel & Readiness Directorate’s Defense Human Resources Activity (DHRA), has helped develop multiple specifications and standards (cf P2997 Enterprise Learner Records, P2881 Learning Metadata, 1484.20.3 Shareable Competency Definitions) adopted by the Institute of Electrical and Electronics Engineers (IEEE) to govern the capture and transfer of learning experience data, learning objects, and shared competencies.
These standards comprise the Total Learning Architecture (TLA) upon which ADL’s DoD Learning Enclave (DLE) is based. The DLE is a set of capabilities attached to a continuous ATO, available in IL2 and IL4, that include a Learning Management System (LMS), Electronic Course Catalog (ECC) to store and reconcile training content, Enterprise Learner Record Repository (ELRR) to reconcile learner records, and an Electronic Competency and Credential Registry (ECCR). These capabilities also include a schema translation service that can reconcile differences across sources and allow interoperability among records systems that would otherwise be incompatible, for which ADL was recognized as a DoD Pathfinder in 2021.
Maturity of these capabilities means that DoD operational and functional communities now have the ability to use DLE systems as designed, for the integration of operational data for improved recruiting, talent management, force management, and decision-making. This document will outline both the capabilities inherent in the DLE as well as use cases where it is already being deployed.