Education
Mark Urban-Lurain is the Associate Director for Engineering Education Research at Michigan State University. He's also the Principle Investigator on an NSF-sponsored project developing methods and software for Automated Analysis of Constructed Responses. Open-ended questions force students to think differently than multiple choice questions, but are much harder to grade. In this episode we talk to Mark about how the project uses machine learning to evaluate and analyze free text answers in order to shed new light on student understanding and misconceptions.