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
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Dil İngilizce ● Biçim PDF ● Sayfalar 20 ● ISBN 9781952157073 ● Dosya boyutu 6.2 MB ● Yayımcı Association for Talent Development ● Yayınlanan 2014 ● İndirilebilir 24 aylar ● Döviz EUR ● Kimlik 8784258 ● Kopya koruma Adobe DRM
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