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Download full textSmith, Brent; Johnson, Andy; Hayden, Trey; Tolk, Florian – Advanced Distributed Learning Initiative, 2022
The human capital supply chain is a complex network of systems with inherent challenges to accommodating Total Learning Architecture (TLA) operability. This document covers the objective end-state for Department of Defense (DoD) learning organizations migrating to TLA compliant data and microservices. This document is organized into sections that…
Descriptors: Human Capital, Public Agencies, Armed Forces, Information Systems
Gordon, Jerry; Hayden, Trey; Johnson, Andy; Smith, Brent – Advanced Distributed Learning Initiative, 2020
The DoD's [Department of Defense's] Advanced Distributed Learning (ADL) Initiative is designing a framework of commercial standards, technical specifications, and business rules to enable plug and play interoperability of learning technologies. The Total Learning Architecture (TLA) framework will allow education and training products to…
Descriptors: Armed Forces, Military Training, Educational Technology, Delivery Systems
Johnson, Andy; Miller, Shawn – Advanced Distributed Learning Initiative, 2022
The founding goal of using standards within acquisition of distributed learning content and technology is to reduce cost in both current and future acquisitions and collaborative efforts across organizations. This document explores existing successful acquisitions and supplies that language as well as successful ways to implement best practices of…
Descriptors: Standards, Course Content, Information Technology, Cost Effectiveness
Smith, Brent; Milham, Laura – Advanced Distributed Learning Initiative, 2021
Since 2016, the Advanced Distributed Learning (ADL) Initiative has been developing the Total Learning Architecture (TLA), a 4-pillar data strategy for managing lifelong learning. Each pillar describes a type of learning-related data that needs to be captured, managed, and shared across an organization. Each data pillar is built on a set of…
Descriptors: Learning Analytics, Computer Software, Metadata, Learning Activities
