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Working closely with subject matter experts, UniSuper were able to design and deliver an adaptive Micro Learning program on Business Resilience where participants were required to complete a set of multiple choice questions, short text flections and self-rate confidence score before and after each module.
Financial Services
From 24% to 92% self-rated confidence score
UK
Solutions provided:
UniSuper is an Australian superannuation fund based in Melbourne that provides superannuation services to employees of Australia's higher education and research sector. With the help of Learning and Performance company Obvious Choice, UniSuper started work on an xAPI data model, specifically aimed at gatheringxAPI statements that would allow them to measure training effectiveness, participation rates, success rates, responses, completion dates and time. UniSuper also used their xAPI data model to assess employee confidence across a number of risk areas.
Challenge
UniSuper came to HT2 Labs (now part of Learning Pool) as it began its journey to build its business resilience capability. Up until 2018, their compliance learning initiatives tended to be viewed as more of a ‘checkbox’ activity rather than an engaging learning program that produces meaningful data.
Before investing in large scale data risk capability initiatives, their digital learning team set about establishing an organizational knowledge and confidence baseline in the following areas:
1. Business Continuity
2. Crisis Management
3. IT Disaster Recovery
4. Emergency Management
5. LMS-Free Learning
Solution
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.
Results
Working closely with subject matter experts, UniSuper were able to design and deliver an adaptive Micro Learning program on Business Resilience where participants were required to complete a set of multiple choice questions, short text flections and self-rate confidence score before and after each module.
Digital postcards were used to drive engagement with this subscription-based learning campaign and weekly xAPI data was provided and then used to provide more efficient delivery of the program in the future.
Following the project, self-rated confidence scores in the challenges presented increased from by 24% to a total of 92%.
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