On Thursday July 19, 2018, Brandon Hall Group released a podcast discussion between Amalgam Insights’ Learning Scientist and Research Fellow, Todd Maddox, Ph.D. and Brandon Hall’s COO, Rachel Cooke. The podcast focused on the “adoption gap” in Learning & Development that results when users are presented with a large number of tools and technologies, but little if any guidance on what tool to use when.
Todd and Rachel discuss the importance of leveraging learning science—the marriage of psychology and brain science—to provide best practices for mapping tools onto learning problems in the most effective manner. Todd and Rachel discuss the challenges faced in optimally training hard and people (aka soft) skills.
A replay of the podcast is available for all interested parties at the following link.
If you would be interested in retaining Todd Maddox, the most-cited researcher in corporate learning, for a podcast, webinar, speaking engagement, or workshop, please contact us at email@example.com
Key Stakeholders: Chief Learning Officers, Chief Human Resource Officers, Learning and Development Directors and Managers, Corporate Trainers, Content and Learning Product Managers
- Learning & Development (L&D) vendors offer a number of amazing technologies but minimal, if any, scientifically-validated best practices to guide clients on what to use when. This is an oversight and one that can be remedied by leveraging learning science—the marriage of psychology and brain science.
- Even the vendors beginning to embrace brain science stop at the prefrontal cortex, hippocampus, and medial temporal lobe structures that have evolved for hard skills learning. This is unacceptable as vendors effectively ignore people (aka soft) skills and the emotional aspects of learning that are mediated by different brain regions with distinct processing characteristics.
- To close the adoption gap in learning technologies, L&D vendors must start to embrace all systems of learning in the brain, and customers must demand better guidance and scientifically-validated best practices.