UKT models student knowledge as Gaussian distributions, uses Wasserstein self-attention and an aleatory-uncertainty contrastive loss, and reports improved knowledge tracing prediction on six datasets.
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Uncertainty-aware Knowledge Tracing
UKT models student knowledge as Gaussian distributions, uses Wasserstein self-attention and an aleatory-uncertainty contrastive loss, and reports improved knowledge tracing prediction on six datasets.