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Webinar -Boost Training Transfer Using Predictive Learning Analytics™ (PLA)

  • Thursday, January 26, 2017
  • 1:00 PM - 2:00 PM
  • via Webinar


Registration is closed

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.

Ken Phillips

Ken Phillips, CPLP, delivers all programs and workshops in his signature style: professional, engaging, and approachable. Ken is founder and CEO of Phillips Associates, a consulting and publishing company with expertise in measurement and evaluation of learning and performance management. He has more than 30 years experience designing learning instruments and assessments and has authored more that a dozen published learning instruments. He regularly speaks to Association for Talent Development (ATD) groups and corporate L&D groups. Since 2008, he has spoken at the annual ATD International Conference on topics related to measurement and evaluation of learning.
ATD Kansas City Chapter
10801 Mastin Blvd., Ste. 740
Overland Park, KS 66210
Email: admin@tdkc.org

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