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Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory
[article]
2019
arXiv
pre-print
Deep learning based knowledge tracing model has been shown to outperform traditional knowledge tracing model without the need for human-engineered features, yet its parameters and representations have long been criticized for not being explainable. In this paper, we propose Deep-IRT which is a synthesis of the item response theory (IRT) model and a knowledge tracing model that is based on the deep neural network architecture called dynamic key-value memory network (DKVMN) to make deep learning
arXiv:1904.11738v1
fatcat:szgfp6ex45btjpogz7gawvqucm