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

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

  1. General
  2. Working Mechanism of DKVMN
  3. Student Ability and Difficulty Networks

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1

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Updated 2020-11-17

Contributors are:

Nineli Lashkarashvili
Nineli Lashkarashvili
🏆 1

Who are from:

San Diego State University
San Diego State University
🏆 1

Tags

Data Science

Related
  • Reference for Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory

  • Introduction (Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory)

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  • Literature Review (Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory)

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

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  • Experiments (Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory)

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  • Discussion (Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory)

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Learn After
  • General (Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory)

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  • Working Mechanism of DKVMN (Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory)

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  • Student Ability and Difficulty Networks (Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory)

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