Comparisons of BKT , RNN and LSTM for Predicting Student Learning Gains

@inproceedings{Lin2018ComparisonsOB,
  title={Comparisons of BKT , RNN and LSTM for Predicting Student Learning Gains},
  author={Chen Lin and Min Chi},
  year={2018}
}
The objective of this study is to develop effective computational models that can predict student learning gains, preferably as early as possible. We compared a series of Bayesian Knowledge Tracing (BKT) models against vanilla RNNs and Long Short Term Memory (LSTM) based models. Our results showed that the LSTM-based model achieved the highest accuracy and… CONTINUE READING