Data and Training Analytics Simulated Input Modeler (DATASIM)

Comprised of open source specifications and an open source software reference model, DATASIM provides the ability to simulate and generate xAPI data quickly, accurately, and at scale. The current implementation produces over 500,000 conformant xAPI statements per minute. Unlike “dummy data”, the xAPI statements produced by DATASIM reflect models of human learner behavior with attributes defined by the end-user and those attributes in direct alignment with xAPI Profiles. The purpose is to provide an application that can assist in the evaluation of xAPI and TLA implementations prior to deployment in a production environment.

DATASIM provides access to testable “Big xAPI Data” and can inform DoD policy with regards to the modernization of learning and training technologies across the enterprise.

Speaker: Shelly Blake-Plock, Yet Analytics