The FY18 Broad Area Announcement (BAA)

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Outreach, ADL

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Dec 28, 2017, 2:51:55 PM12/28/17
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The Advanced Distributed Learning (ADL) Initiative has begun the next cycle of learning to further the strategic goals of modernization, policy development, and community support throughout critical areas within the field of distributed learning.  The FY18 Broad Area Announcement (BAA) builds on ADLI’s Total Learning Architecture (TLA), an architecture to modernize education and training platforms to enable interoperability of disparate systems, enabling them to be used together as a Service Oriented Architecture (SOA) to securely share relevant learning data including granular learning experience information, competency frameworks, learner profiles and metadata about learning and training content.


The FY18 BAA outlines four areas of research supporting TLA:


(1) TLA Data Visualization and Associated Learning Analytics.  Development of models, prototypes, and specifications for analyzing, interpreting, and visualizing this data is the next key step in unlocking the potential of distributed learning.


(2) TLA Content and Pedagogical (Andragogical) Model.  ADL seeks to define a scientifically based model for designing next-generation learning experiences (i.e., generalizable theory building) and for developing an associated corpus of content for empirical testing (i.e., applied exemplar development).

(3) TLA Learning Experience System Incorporation.  ADL developed the xAPI standard to allow learning systems to communicate student experiences to learning management systems - a key component of the TLA.  ADL seeks to provide feedback to, and participate in ongoing development of, the TLA specifications, integrate prototype TLA specifications into an existing learning experience system, and incorporating that learning experience system into annual TLA testing.

     (4) Pervasive Learning System (PERLS) – Personal Self-Regulated Learning and Training.   As part of a demonstration of TLA platforms and capabilities, ADL seeks to maturate, integrate, and testing of the PERLS personal assistant for learning capability.  

Detailed information can be found at: http://adlnet.gov/adl-collaboration/baa-fy2018.


ADL encourages your participation! For questions or clarification, please call:


Dr. Van E. Brewer

External R&D Lead

Advanced Distributed Learning Initiative

van.bre...@adlnet.gov





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Outreach Team
Advanced Distributed Learning (ADL) Initiative
Web: adlnet.gov 
Office: 571-480-4640
Direct: 571-480-4649
  

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