The future for this work is machine learning in which the app and devices supporting the patient get and give smart guidance. The team also did work in food control of cancer patients for human-in-the-loop machine learning: The machines collaborate with the humans. The entire system uses xAPI and a centralized LRS to create a complete picture.

The half-day, medical education-related xAPI Camp hosted by Lurie Children’s Hospital in the bustling heart of downtown Chicago on September 16, 2016, was the fifth camp this year. xAPI is rapidly gaining worldwide adoption, and the proof is in the growing and diverse body of working case studies you see at these events. I am amazed and surprised at the work of my fellow xAPI practitioners. We are working to curate case studies, if you want to view or share your own, at

Figure 1: Discussion breakout at xAPI Camp Chicago on September 16, 2016

Following are very brief snapshots of the remarks and presentations made by the speakers at this event. You can find more details on some of the presenters and presentations here.

Norman Gill (eLearning manager, Lurie Children’s Hospital)

Norman Gill’s opening remarks for the camp highlighted Lurie’s commitment to new technology. He is very excited by the possibilities that xAPI offers. This was Lurie’s first conference, but the hospital is setting up another xAPI Camp for next year.

Sean Putman (VP, learning and development, Altair Engineering)

The first manual covering xAPI, Investigating Performance: Design and Outcomes with xAPI, will be available this fall. Sean Putman spoke about data types and presented some prototyping tips for those looking to use qualitative data to inform and for use in the initial design phase for digital learning. Quantitative data is where xAPI really comes into focus. What do the data mean to you? What does change mean to you? Context is king. When implemented properly, xAPI provides the observable, measurable, and actionable data we need in instruction.