I will keep this relatively short as not much as come up concerning my research with Dr. Moon except for more insight into a model we are using.
For most of our clustering, we looked at student cognitive operations as sort of pathways, seeing the likelihoods of them transitioning to another operation and more. To do this, we created Markov models, which detail to us the probability matrix of a group of assignments on what operations are used the most and the likelihoods of them going from one node to another.
Dr. Moon recently heard from a colleague about another interesting feature the models can tell us, decay and eigenvalues. By how much do students differentiate from the probability and where they tend to lead to. So all and all, I hope to hear more about this in the coming week.