The Training and Learning Architecture (TLA) encompasses a set of standardized Web service specifications and Open Source Software (OSS) designed to create a rich environment for connected training and learning. Like SCORM, the TLA is not a system itself, but rather enables systems or applications to be built for learning. An evolving set of components comprise the TLA, which will grow and mature as research and development efforts, along with new technologies, afford solutions and bridge gaps within the architecture.
The TLA capability supports ADL’s Next Generation Learning Environment research and development strategy and is laying the foundation for the future Personal Assistant for Learning (PAL).
Originating from the expanding community needs collected through a variety of means, the TLA is not intended to replace SCORM, but upon completion will supercede the capabilities of SCORM. It will allow for tracking of learning experiences beyond simply recording completion data and scores, and will facilitate the design of modern learning scenarios that are not encumbered by specific device requirements. Each TLA component will provide backward compatibility and best practices to ease transitions from SCORM.
The TLA components align with 4 key concepts: experience tracking, learner profiles, content brokering and understanding, and competency networks. The modular structure enables adoption of individual pieces, diminishes implementation of superfluous features, and lowers the barrier for entry.
Experience Tracking: Specifications and software that can be used to track learner data based on interactions with learning experiences. Learning experiences can derive from many contexts, including formal courses, simulations, informal learning with websites and videos, games, and social media interactions. A critical characteristic of this component is making that data available for use in other authorized systems after it has been stored.
Current Projects Include:
Content Brokering and Understanding: Specifications and software to manage content to support just-in-time learning and enable selection of the next logical activity. Smart components and machine-readable content will source the next learning experience from shared content, appropriate for the learner’s context and device.
Current Projects Include:
Learner Profiles: Specifications and software used to provide access to data about learners such as learner preferences and course history. The information found in the profile can be used to tailor a learning experience to an individual by taking into account the learners specific style and experience within a subject. The profile can develop with data from many sources, including experience tracking and learner-entered information.
Competency Networks: Specifications and software that can enable learning objectives and competency definitions to be used by content and systems to establish proper relationships. These relationships will map content/courses to objectives/competencies based on the established definitions.
All TLA Resources:
» Technical Documents