The elusive quest to identify and place skilled professionals has become an obsession in the talent wars of the tech industry (not to mention in schools from K though Postdoc). We will discuss the concept of continuous passive predictive (formative) assessment, applied to both learners and professionals, from kindergärtners to (future) CEOs. Building cognitive models using unstructured data and ubiquitous sensors allows the assessment not only of concept mastery, but meta-learning development as well (e.g., "Grit" and "Social-Emotional Intelligence"). Such models can then be used to predict which content will be an effective learning experience for a given learner. In massive courses, from large college lectures to MOOCs, the models can identify ad hoc cohorts for collaborative learning.
Dr. Vivienne Ming is a theoretical neuroscientist, technologist and entrepreneur. She is the co-founder and Managing Partner of Socos, a cutting-edge EdTech company which applies cognitive modeling to align education with life outcomes. Previously, Dr. Ming was Chief Scientist at Gild, an innovative startup that builds better companies by unleashing human potential in their workforce using machine learning. She is a visiting scholar at UC Berkeley's Redwood Center for Theoretical Neuroscience pursuing her research in cognitive prosthetics. Dr. Ming also explores augmented cognition using technology like Google Glass and has been developing predictive models of diabetes and bipolar disorder. Her work and research has received extensive media attention including the New York Times, NPR, Nature, O Magazine, Forbes, and The Atlantic.