Boost Training Transfer Using Predictive Learning Analytics™

Bring this innovative, highly interactive, "how to" workshop in-house to familiarize your L&D team with a data-driven way to measure, monitor, and manage the amount of scrap learning associated with a training program. Participants will learn how to use two predictive and three descriptive metrics to increase training transfer.

After attending this workshop, you will be able to:

• Identify the impact “scrap learning” has on wasted organization resources and lost credibility with business executive stakeholders. 
• Use five key Predictive Learning Analytics™ metrics to identify the underlying causes of scrap learning associated with a training program.
• Determine which participants are most likely, at-risk, and least likely to apply what they learned in a training program back on the job.
• Determine which managers of the program participants are likely to provide active or passive support for the training.
• Determine which of the three research-based training transfer components and twelve training transfer factors contribute the most and least to training transfer.
• Calculate the amount of scrap learning associated with a training program and identify the obstacles inhibiting participants from applying what they learned.
• Validate the accuracy of your participant training transfer predictions using Level 2 and Level 3 evaluation data. 
• Create reports showing your Predictive Learning Analytics™ results and gain increased credibility with business executive stakeholders.