As students learn a new concept, measuring how well they grasp it has often depended on traditional paper and pencil tests. Researchers have developed a machine learning algorithm, which can be used to measure how well a student understands a concept based on the student's brain activity patterns. The study is one of the first to look at how knowledge learned in school is represented in the brain.