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Deep knowledge tracing

基于LSTM网络根据学生的做题结果来预测和追踪学生对知识的掌握情况

requirements

python == 3.6.5
tensorflow-gpu == 1.10.0

数据集

学生的做题数据
每个学生的做题数据构成一条序列数据，序列上各时间步上都有结果输出
各时间步的标签为做题的对错（用1， 0表示）

模型

类似于语言模型，利用学生之前的做题结果来预测当前的做题结果

训练模型

python train_dkt.py

dkt's People

Contributors

jiangxinyang227 avatar

Stargazers

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