I2IDL, xAPI and the Total Learning Architecture: Why Infrastructure Matters More Than Ever [from xAPI.com.au]
“One thing that has become increasingly clear over the years is this: learning data does not fail because of a lack of ideas. It fails because of weak infrastructure and poor interoperability. That is why the launch of the Institute for Infrastructure and Interoperable Data in Learning (I2IDL) really matters.”
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.