School of One's learning algorithm helps to ensure each student is learning in his or her educational "sweet spot." As it collects data, it learns more about the students and becomes more effective at predicting the playlist that will be most effective for each.
Each day, the learning algorithm takes into consideration factors such as each student's academic history and profile; the previous day's assessment data; and available content, space, staffing, and technology. With this information, it generates a recommended schedule for each student and each teacher. Learn more, from Freakonomics Radio, here.
Because no piece of software can replace sound pedagogical judgment, teachers can review and suggest changes to the algorithm's daily lesson recommendations.