Predictive models of student knowledge help us create adaptive educational technology that personalizes learning material based on what a student knows. Many models do not account for forgetting as a factor when predicting student knowledge. This project explored how cognitive models of memory combined with big data techniques may provide a means for more accurate predictions of knowledge over time. In turn this aids the development of automated practice schedules in educational software.
The interactive doc linked below is big so give it some time to load. Note that I prioritized testing the limits of what I could do with R Markdown more than I prioritized a beautiful document! That might help explain some pages that look like I tried to include everything and the kitchen sink.