This interactive session will show how xAPI and AI can predict student needs in time for early intervention. It will describe a case study in which xAPI provides rich student data into an AI that is designed to recommend individual interventions. Attendees will have an opportunity to apply the technique and learn the technologies in a hands on way.
Learning Objectives:
Build a case for artificially intelligent analysis of learning analytics.
Engage colleagues in a discussion around learning analytics with the confidence that comes from hands-on xAPI experience.
Prepare future-proofed learning programs that are consistent with and ready for emergent technologies such as xAPI and AI.
