June 6, 2017 8:00 AM – 9:15 AM
Shane Gallagher, Advanced Distributed Learning (ADL) Initiative
Training platforms across medical, as well as government, industry, and defense industries, primarily exist currently as stand-alone products. Because of this, information learned within these environments is not translated to the next environment nor are the outcomes prescriptive for identifying what training and which technologies should be used next. Accordingly, training lacks a level of efficiency that could significantly improve both the effectiveness and specificity of training. Experience Application Program Interface (xAPI) is a set of standards and specifications that focuses on identifying and tagging learner actions to include intermediate, or experiential data, not just outcome data. Using the xAPI for reporting learning experiences enables trainers to collect and report data interoperably from various sources. Training simulations, for instance, could leverage xAPI capabilities to improve the recording and monitoring of learner events, enabling real-time events and after action reviews of learner performance. Further, it allows the instructor to better understand the particular skills and challenges of individual learners, allowing for improved adaptive training decisions and platform selection. This presentation will give a brief overview of the xAPI and present a case study of a live medical simulation that was conducted as part of the Global Smart Cities Challenge (sponsored by National Institute of Standards and Technology [NIST] and the Office of Science and Technology Policy [OSTP]).