DoD Instruction 1322.26 ("Distributed Learning")
The DoDI 1322.26 establishes policy, assigns responsibilities, prescribes procedures, and establishes information requirements for developing, managing, providing, and evaluating distributed learning for DoD military and civilian personnel, addresses emerging learning science and technology concepts and challenges and implements policies related to education and training, and authorizes the recording, analysis, portability, and management of learning experience data.
This issuance applies to OSD, the Military Departments, the Office of the Chairman of the Joint Chiefs of Staff and the Joint Staff, the Combatant Commands, the Office of the Inspector General of the Department of Defense, the Defense Agencies, the DoD Field Activities, and all other organizational entities within the DoD.
To implement DoD policy affecting distributed learning, the DoD Components will adhere to several guidelines. When developing or acquiring distributed learning, they must search for existing distributed learning content that may be reused or repurposed, and should make existing distributed learning assets, content, and other reusable resources visible and accessible to other DoD Components. They should strive to design and develop distributed learning that leverages learning science, technology, specifications, and standards to produce state-of-the-art, affordable, effective, and convenient education and training. It is also essential to consider the security of networks, data, and personal information in all distributed learning content and systems development and comply with all applicable policies and requirements for the protection thereof. As such, they should implement the Experience Application Programming Interface (xAPI) and associated Learning Record Store capabilities, as practical, to enhance learning data security and interoperability. Further, the DoD components are compelled to record, analyze, measure, manage, and, as appropriate, exchange learning experience data among themselves as well as measure and evaluate learner performance. Participation in DADLAC is also essential.