Broadly defined, the Experience API (xAPI) lets applications share data about human performance. More precisely, xAPI lets you capture (big) data on human performance, along with associated instructional content or performance context information. xAPI applies human (and machine) readable “activity streams” to tracking data and provides sub-APIs to access and store information about state and content. This enables nearly dynamic tracking of activities from any platform or software system—from traditional Learning Management Systems (LMSs) to mobile devices, simulations, wearables, physical beacons, and more.
xAPI can track micro-behaviors, state, and context such as…
xAPI is 100% free, open source, lightweight, and adaptable; it can be used to augment almost any performance assessment situation. It is currently being used in many LMSs, museums, flight simulators, firing ranges, and emergency medical services.
Background & History
The ADL xAPI CoP directory was launched in order to help facilitate the creation and sharing of xAPI work within various xAPI communities and interest groups.
The ADL team facilitators are hosting weekly conference calls for the xAPI community. View the calendar to see the next scheduled call.
In response to the growing demand for reference implementations, the ADL Initiative has begun to collect case studies – stories of actual implementations – from adopting organizations.
Public Group forum focused on the xAPI-Specification.
This group is focused on designing and making experiences with the Experience API. It is also the nerve center of the xAPI Design Cohort.
An archive of xAPI resources developed by and for groups in the xAPI Design Cohorts.
Vocabulary working group activity that investigates the use of semantic web technology for providing the meaning of xAPI verbs and activity.
This working group builds off of the previous work from the vocabulary working group, and is focused on formalizing the approach and processes for creating and publishing xAPI Profiles, and leveraging JSON-LD for representing profile data.