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  • From Training to Application: Bridge the Gap with Predictive Learning Analytics (All-Day Workshop)

From Training to Application: Bridge the Gap with Predictive Learning Analytics (All-Day Workshop)

  • October 15, 2019
  • 7:30 AM - 5:00 PM
  • Benedictine University, 5700 College Rd, Goodwin Hall Room 411 ,Lisle, IL 60532
  • 119

Registration is closed

Scrap Learning, the gap between training that is delivered and what is actually applied back on the job, is a critical issue for organizations – and for you! It not only wastes scarce organizational resources, it threatens your professional credibility.

In this in-depth, highly interactive workshop you will:

  • Discover the impact scrap learning has on wasted organization resources and lost credibility with business executive stakeholders.
  • Examine the 3-phase, 9-step Predictive Learning Analytics™ methodology and the 6 benefits of using Predictive Learning Analytics (PLA).
  • Analyze how PLA can be used to identify participants who are most likely, at risk, and least likely to apply what they learned in a training program back on the job.
  • Examine how PLA can be used to identify managers who do a good and poor job of supporting learning
  • Analyze how to calculate the amount of scrap learning associated with a training program and how to identify and prioritize the obstacles preventing learners from applying what they learned
  • Discover how to validate the accuracy of your PLA algorithm using Level 2 and Level 3 evaluation data.
  • Examine various data charts you can use to report your PLA results and gain increased credibility with business executive stakeholders.

Agenda

  • 7:30 AM - 8:30 AM: Registration, Light Continental Breakfast, Networking
  • 8:30 AM - 12:00 PM: Program 
  • 12:00 PM – 1:00 PM: Lunch 
  • 1:00 PM – 5:00 PM: Program

Fee

Registration is open.

 Registration Type Early Bird
On or Before
October 1st
Regular
October 2nd
and beyond
Board Member & Special Guest $100 $135
Member $155 $235
Non-Member $315 $395
Student Member $75 $115

Location & Parking

Benedictine University
5700 College Road, Goodwin Hall, Room 411
Lisle, IL 60532

Free parking is available on campus. It’s recommended that you park in the General Parking Garage (see Building 7 on the interactive map). The garage is located just steps away from Goodwin Hall (see Building 8 on the interactive map). Once inside Goodwin Hall, take the elevator to the 4th floor.

Interactive Map: http://www.ben.edu/map.cfm

Presenter

Ken Phillips Ken Phillips, CPLP, is the creator and chief architect of the Predictive Learning Analytics™ (PLA) learning evaluation methodology. He has more than 30-years of experience designing learning instruments and assessments and has authored more than a dozen published learning instruments. Ken also regularly speaks to Association for Talent Development (ATD) groups, university classes and corporate L&D groups. Since 2008, he has spoken at the ATD International Conference on topics related to measurement and evaluation of learning. In addition, since 2013 Ken has spoken at Training magazine’s annual conference and expo on topics related to measurement and evaluation.

Prior to pursuing a Ph.D. in the combined fields of organization behavior and educational administration at Northwestern University, Ken held management positions with two colleges and two national corporations. In addition, he has written articles that have appeared in td magazine, Training Today and HR.com, and is a contributing author to five books in the L&D field.

Ken earned the Certified Professional in Learning and Performance (CPLP) credential from ATD in 2006 as a pilot pioneer and was recertified in 2009, 2012, 2015 and again in 2018.

Sponsors

You can sponsor this event! Please contact us

Cancellation Policy:

All event registration fee refund requests must be submitted in writing to admin@atdchi.org prior to any event. Requests must be submitted at least three (3) business days prior to the event to receive a full refund. No refund will be provided for cancellations received within three (3) business days or for event attendee no-shows.

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