Evaluate Learning With Predictive Learning Analytics

TD at Work Guide

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Evaluate Learning With Predictive Learning Analytics

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A positive return on investment for training programs is a top concern for C-level executives and should be for L&D professionals too. Scrap learning—the time and money wasted on most training programs that are delivered but not applied on the job—is 45–85 percent. In this issue of TD at Work, Ken Phillips, CPTD, details how to measure, monitor, and manage scrap learning with Predictive Learning Analytics. PLA is a systematic, credible, and repeatable way to reduce scrap learning and maximize training transfer. Phillips:

Explains the PLA model and provides formulas for calculating scrap learning
Outlines how L&D practitioners can use the model in their organizations
Provides a case study

Book Details

ISBN: 9781952157066
Pages: 20
Publication Date: October 2020
Formats: Paperback, PDF
Product Code: 252010

About the Authors

Ken Phillips

Ken is founder and CEO of Phillips Associates, a consulting and publishing company with expertise in measurement and evaluation of learning, performance management, and sales performance. He has more than 30 years of experience designing learning instruments and assessments and has authored more than a dozen published learning instruments. He regularly speaks to university classes and ASTD groups, including the ASTD International Conference & EXPO. Ken also developed the competency-based Sales Manager Skills Assessment for The Art of Modern Sales Management (ASTD, 2014). 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.