source code for the paper Deep Knowledge Tracing. http://stanford.edu/~cpiech/bio/papers/deepKnowledgeTracing.pdf
At the moment the code doesn't include LSTM model, only RNN (I will upload LSTM when I get a chance).
Q. How do you handle multiple students during training? It looks like sequences (ie. data of different students) of different length are padded to the same length. A. Correct. This is very important for training speed.
Q. Does the training code have a termination condition? A. No. I save a copy of the model each epoch and let training run until I feel like terminating it. You can start training from any saved model (where you left off).