Learning and Performance Science for Digital Transformation

ABSTRACT

Select any industry and you will find scores of articles detailing how the SARS-CoV-2 pandemic fostered an explosion of online learning over the past two years. Within social distancing guidelines, organizations were able to meet many challenges of the learning and performance space. At the same time, training budgets have shrunk to offset pandemic headwinds as organizations rally to survive. Focus has shifted instead toward digital transformation of big data, to unify, manage, and visualize the flow of structured business data and, thus, improve overall efficiency and outcomes. While impressive innovations have emerged to focus learning and performance (L&P) on what is most pertinent, L&P content science lags woefully behind data science. Scalability of L&P content remains largely elusive. This paper outlines a vision for an L&P science to foster a cogent digital transformation on par with modern data science. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.