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浅谈知识追踪(BKT、IRT、DKT)
提示 xff1a 文章写完后 xff0c 目录可以自动生成 xff0c 如何生成可参考右边的帮助文档 文章目录 前言一 知识追踪是什么 xff1f 二 具体内容1 基于贝叶斯的知识追踪 xff08 BKT xff09 项目反应理论 xff0
BKT
IRT
DKT
浅谈知识追踪
Deep-IRT Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory
写在前面 xff1a 本文在DKVMN的基础上结合项目IRT xff0c 加入了student ability network 和 difficulty network两个网络 xff0c 增加深度知识追踪的可解释性 1 摘要 基于深度学习
Deep
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Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory
Deep IRT Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory Student Ability and Difficult
Deep
IRT
make
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