UniSuper’s subject matter experts came together to help automate course delivery over a 10-week period, providing coverage against the proficiencies targeted by UniSuper, as well as to reflect and address known behavioral and non-compliance issues.
Building an xAPI data model, UniSuper then went on to gather xAPI data on training effectiveness, participation rates, success rates, responses, completion statistics and employee confidence, across a number of operational risks including:
1. Detecting an email scan
2. Knowing what to do in an emergency evacuation
3. Detecting a malware threat
An interactive scenario then correlated confidence with explicit knowledge. Before and after the 10-week period the confidence of participants was self-assessed in order to assess the program’s efficiency in addressing key psychological dimensions.