Total Learning Architecture (TLA) Assessment
Enabling distributed learning modernization through rigorous assessment of the TLA.
Description
Development of the Total Learning Architecture (TLA) includes a
rigorous, independent efficiency and effectiveness assessment. This
includes the draft specifications and associated reference
implementation model, scoping test and demonstration events, developing
and executing the research assessment plans, and reporting findings (as
appropriate) in conferences, technical reports, and targeted academic
journals. The project includes participation in ADL Initiative-sponsored
committees and working groups, as well as other specifications and
standards working groups, to illustrate current and emerging
capabilities and eventual contributions to Defense operations and the
ADL Initiative mission.
Major Deliverables
- TLA Assessment Plan
- Reports of Findings
- Publication of results at I/ITSEC 2019
Project Details
Period of Performance: FY18-FY19
External Performers: Institute for Defense Analyses
Contract: HQ0034-14-D-0001
Publications
2019; Yet Analytics; Black-Plock, Shelly
DATASIM is an open source application that will provide a valid means of producing the datasets necessary to benchmark and stress test the Total Learning Architecture (TLA) and distributed learning acquisitions. Additionally, DATASIM can help learning scientists, ISDs, IT and...
2019; Smith, Brent; Gordon, Jerry
The Total Learning Architecture (TLA) program sponsored by the ADL Initiative seeks to develop a set of policy and standards defining the process for developing a learning ecology, where multiple services and learning opportunities (of various modalities and points of...
2018; IITSEC; Smith; Gallagher; Schatz; Vogel-Walcutt
Increasingly, the defense community requires a continuous, adaptive learning enterprise that delivers the right training, education, and just-in-time support, in the right ways and at the right time. The Total Learning Architecture (TLA), now in its second iteration of development,...
2018; AHFE, Applied Human Factors and Ergonomics; Neville, K.J.; Folsom-Kovarik, J.T.
To help learners navigate the multitude of learning resources soon to become available in the Total Learning Architecture (TLA) ecosystem, a Recommender algorithm will give learners learning resource recommendations. Recommendations will support immediate training needs and provide guidance throughout one's...
2017; IITSEC; Gallagher, P.S.; Folsom-Kovarik, J.T.; Schatz, S.; Barr, A.; Turkaly, S.
Organizations that use learning technology to educate and train are facing a new set of interoperability problems. Many new products - including adaptive systems, intelligent digital tutors, real-time data analytics, and interactive e-books - offer dramatic learning benefits. However, these...
2017; Chapter in Book - GIFT; Goodwin, G; Folsom-Kovarik, J.T.; Johsnon, A.; Schatz, S.; Sottilare, R.
The focus of this chapter is on the challenges and potential solutions to conducting realtime and long-term assessments of performance, learning, and domain competency in the Total Learning Architecture (TLA). TLA, a distributed learning ecosystem, is being developed by the...
2017; Applied Human Factors and Ergonomics, AHFE; Maymí, F.; Woods, A.; Folsom-Kovarik, J.
This paper describes a proposed approach, centered on human factors, for securing the Total Learning Architecture (TLA). The TLA, which is being developed for the United States Department of Defense, will rely on large stores of personal data that could...
2016; IITSEC; Folsom-Kovarik, J.T.; Raybourn, E.M.
Technology is becoming ever more central to teaching and training. In classrooms, students use intelligent tutors and adaptive tests instead of textbooks and worksheets. In daily life, mobile devices enable blended, on-demand and ubiquitous life-long learning applications. Connected, pervasive media...
