Comments (2)
Hi. Thank you for reading my GitHub materials.
I will answer your questions.
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The preprocessing method is originally from the paper of DKVMN. You can check the paper in the reference list. Additionally, "order_id" is an id of one data sample. That is why I dropped the duplicates.
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The input data "x" is the previous interactions of the current student. You can check the definition of the interaction as "(question, response)" in the original DKT paper.
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Also, this part is explained in the original DKT paper. The intend of the part is for training the DKT model with only the next question's response.
I hope my answers would be helpful to you.
from knowledge-tracing-collection-pytorch.
Since there's been no response in a long time, I will close this issue.
from knowledge-tracing-collection-pytorch.
Related Issues (7)
- RuntimeError: Expected a 'cuda' device type for generator but found 'cpu' HOT 1
- Question regarding predictions HOT 3
- RuntimeError: Expected a 'cuda:0' generator device but found 'cpu' HOT 4
- About overfitting during model training HOT 1
- Passing skills/concepts instead of question indices HOT 2
- About data=> q_seq, qshft_seqs HOT 1
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