itwbennett writes: "Computer Science Ph.D. candidate Federico Cirett says that he can predict with 80 percent accuracy when someone is about to make a mistake on a math question. Using an EEG machine, Cirett can identify the patterns in a volunteer's thinking that are likely to result in an error 20 seconds or so before it's made. 'If we can detect when they are going to fail, maybe we can change the text or switch the question to give them another one at a different level of difficulty, but also to keep them engaged,' Cirett said. 'Brain wave data is the nearest thing we have to really know when the students are having problems.' He will present a paper on his findings at the User Modeling, Adaptation and Personalization conference in July."