We will introduce and explain concepts of working memory, schema, automation, and complex content. With some examples, we’ll show how instructors might help students manage their cognitive load with an end goal of more efficient learning. That is, how can we structure courses to build schema and automation so working memory, which is limited in capacity and duration, can be leveraged best. We will also briefly touch on a few “effects” like modality, split attention, expertise reversal, and redundancy. This session will be presented by Dr. Dennis Buckmaster, Professor and Dean’s Fellow for Digital Agriculture, Purdue University, Department of Agricultural & Biological Engineering.
Registration is free: https://indstate.qualtrics.com/jfe/form/SV_3NJigklmGSuhFqu