Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory

The Deep-IRT model 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 based knowledge tracing explainable.

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Chun-Kit Yeung (2024). Dataset: Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory. https://doi.org/10.57702/d0lax8gr

DOI retrieved: December 17, 2024

Additional Info

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Created December 17, 2024
Last update December 17, 2024
Defined In https://doi.org/10.48550/arXiv.1904.11738
Author Chun-Kit Yeung