Revealing the Invisible

Data-Intensive Research Using Cognitive, Psychological, and Physiological Measures to Optimize STEM Learning

 

Virtual learning environments are an increasingly important component of individualized learning in STEM domains. New technologies (including biometry and neuroimaging) provide new opportunities to unobtrusively measure student engagement and learning at scale. This project utilizes these technologies to provide foundational knowledge of the ways in which measures of implicit learning from lab settings, ubiquitous sensors, and big data might be linked to explicit learning to develop games and online educational systems that are adaptive to diverse learners.