What is arguably the number one issue facing the L&D profession today? The answer: “Scrap Learning.” Scrap learning is a term coined by Knowledge Advisors to describe the difference between learning that is delivered, but not applied back on the job. It’s also a critical business issue because learning that is delivered but not applied is a waste of organization resources. The question then becomes: “What can be done about it?” The answer, and the topic of this session, is how to use Predictive Learning Analytics™ to reduce the amount of scrap learning associated with a learning program.
In this session you will:
• Examine the impact scrap learning has on wasted organizational resources and lost credibility with business executive stakeholders.
• Discover how to build a predictive learning analytics model that identifies those learners who are most and least likely to apply what they learn in a training program back on the job.
• Examine the three phases of PLA, eight guidelines for getting started—and the seven benefits of using PLA in your organization.
