The ADL Initiative strives to develop the next-generation of distributed learning science techniques and technologies via research, development, and collaboration. A sample of the ADL Initiative’s R&D projects is listed below, with similar projects grouped into portfolio areas (although, in practice, these areas often overlap and interconnect!). All projects are carried out by the ADL Initiative staff, external vendors, and/or scientists and engineers from Federally Funded Research and Development Centers (FFRDCs).
Distributed Learning Interoperability
Historically, the ADL Initiative has emphasized interoperability. Beginning with SCORM® in the mid-1990s and including xAPI today, the program invests heavily in ensuring that distributed learning systems can effectively exchange and make use of learning-related content and data. Current projects in this portfolio area roughly fall into the following subareas:
Total Learning Architecture
The Total Learning Architecture (TLA) is a set of internet and software specifications being developed to enable next-generation personalized, data-driven, and lifelong technology-enabled learning. Once complete, the TLA will include technical guidelines, such as Application Programming Interfaces (APIs) and data model descriptions, that define how training, education, and personnel management technologies “talk” to each other—both syntactically and semantically. The TLA will also define software services that perform whole-system processes using automation and artificial intelligence (AI). The TLA is not a particular training device or educational tool. Rather, it is the “glue” that connects all other learning technologies into an integrated, coherent system.
- Master Project: TLA Overarching Strategy and Architecture
- Fast Learning from Unlabeled Episodes for Next-generation Tailoring (FLUENT)
- Competency and Skills System (CaSS)
- Navigator for Integrated Learning Experience (NILE)
- Total Learning Architecture (TLA) Assessment
Learning Activity Providers
“Learning activity providers” are the learner-facing components in a distributed learning system. Traditionally, these have included e-learning pages and instructional videos. Today, mobile learning, web-based simulations, and e-books have also become more common. As part of the TLA effort, the ADL Initiative is exploring how contemporary and emerging learning devices can be effectively integrated into a learner-centric system-of-systems, advantageous share data, and—both individually and collectively—create unique and valuable learning experiences.
- PERvasive Learning System (PERLS)
- Personal E-Books for Learning (PeBL)
- Concept Maps for Next-Generation Assessments (CMAPS/Sero!)
- Augmenting Next-Generation Learning with Stories (ANGLeS)
- TLA Integration of CyberScorpion
- Perceptual Adaptive Learning Modules (PALMs)
- Military Micro-Credentials (MIL-CRED)
- Financial Readiness Personal Assistant for Learning (FR-PAL)
- Integrating Human and Automated Tutoring Systems (iHATS)
Learning Analytics and Data Visualizations
Improved measurement, storage, analysis, and remediation of learners’ performance is the lynchpin to the ADL Initiative’s future learning vision. Data-driven learning enables real-time adaptations, whether in an instructional or operational context, and will enable organizational adaptability at higher levels. In a world where learning is constant, data in the form of measurements and evaluations will be more pervasive and must be woven into the learning experience. To mature the idea of data-driven learning, the ADL Initiative is conducting projects in these subareas:
Effective technology-enabled learning isn’t possible without the intentional application of learning science (e.g., pedagogical and andragogical best practices). Effective application of learning science can enhance any and all aspects of the previously outlined vision, and to be clear, the use of iterative, evidence-based learning science methodologies is a critical enabler of those elements.
- ADL Academy for the Learning Science Community
- Transmedia Narrative Use Cases of Future Learning Systems
- Mobile Learning Theory
- Mobile Training Implementation Framework (MoTIF)
- Mobile Learning Decision Path (MLDP)
- Choosing Series
- Open Social Learner Models (OSLM)
The ADL Initiative is a leader in distributed learning policy and technical guidelines. The ADL Initiative provides policy support surrounding the Department of Defense Instruction (DoDI) 1322.26 ("Distributed Learning"), identifies unifying needs and strategies across the distributed learning community, and creates best practices for other agencies to follow. The following projects support review and compliance with such policies.
- Master Project: xAPI Overarching Strategy and Future Plans
- Critical Review of the new DoD Instruction on Learning Content Management
- xAPI Conformance and Certification
- Privacy Support for the Total Learning Architecture (PS4TLA)
- DoDI Policy Analysis and Implementation Support
- Policy Support: Cybersecurity & Acquisition (Policy)
- Maturing ADL in Exercises (MADLx)