Its actually research we're doing at NC State. At present, we understand spaced, deliberate practice is beneficial [1] but students will largely reject AI recommendations to complete lower-level practice [2]. So our current methods are to develop a system that maintains an "instructor in the loop" to create tailored training regimens (my terminology for it), similar to how a coach builds regimens for athletes. The hope is that if we can analyze how instructors made their recommendations, we could then design AI to mirror the decisions.
[1] https://dl.acm.org/doi/pdf/10.1145/3373165.3373177
[2] https://repository.lib.ncsu.edu/bitstream/handle/1840.20/398...