Last Call: Be Sure to Register for our First Free Public Webinar
Learn why interoperability matters for your organization's learning and workforce investments. And learn how to become a part of I2IDL’s community.
Prediction #2: Data quality tooling for xAPI will become a priority as learning technologies increasingly share data
As more tools and organizations share their xAPI data around, the question of data quality becomes (even more) urgent. A malformed statement, a non-conformant xAPI Profile implementation, or low-fidelity activity data no longer “just” create local problems; now flawed data can propagate through the network, degrading analytics and undermining trust across the digital landscape.
Prediction #1: “Learning slop” will create a signal-to-noise problem, catalyzing demand for data provenance standards
2026 Top Ten Predictions: “Learning slop” will create a signal-to-noise problem, catalyzing demand for data provenance standards.
Explain it Like I’m 5: What Are Learning Technology Standards, and Why Do I Need Them?
Join the founding board of the Institute for Infrastructure and Interoperable Data in Learning (I2IDL) for a plain-language introduction to the learning data ecosystem. We'll cut through the jargon and explain how standards like xAPI enable your learning systems to talk to each other, why "instrumentation" matters for understanding what's actually working in your training programs, and what it means when someone says they're doing "learning engineering."