Students tend to take far from optimal ways to assimilate information, especially when it comes to exams. Scientists Tim Novikoff, Jon Kleinbert, and Steve Strogatz decided to take a mathematical approach to the way that students learn, in order to find the most effective way to succeed.
The model becomes complex when a student tries to learn a number of facts, each with their own time constraints. There are limits to what students can learn, as demonstrated by a ‘finicky slow student’, who is obsessed with constant review at a very slow pace. This kind of student will never perfectly learn a given subject.
This kind of approach could be very useful in order to tailor education to individual students, who will all assimilate information in a different way, and at different paces. The algorithmic approach would allow educators to schedule it optimally, so that the students would learn better.