houchenyu/pykt-toolkit

pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models

pyKT

pyKT is a python library build upon PyTorch to train deep learning based knowledge tracing models. The library consists of a standardized set of integrated data preprocessing procedures on 7 popular datasets across different domains, 5 detailed prediction scenarios, 10 frequently compared DLKT approaches for transparent and extensive experiments.

Installation

Use the following command to install pyKT:

Create conda envirment.

conda create --name=pykt python=3.7.5
source activate pykt

pip install -U pykt-toolkit -i  https://pypi.python.org/simple 

References

Projects

1. https://github.com/hcnoh/knowledge-tracing-collection-pytorch
2. https://github.com/arshadshk/SAKT-pytorch
3. https://github.com/shalini1194/SAKT
4. https://github.com/arshadshk/SAINT-pytorch
5. https://github.com/Shivanandmn/SAINT_plus-Knowledge-Tracing-
6. https://github.com/arghosh/AKT
7. https://github.com/JSLBen/Knowledge-Query-Network-for-Knowledge-Tracing
8. https://github.com/xiaopengguo/ATKT
9. https://github.com/jhljx/GKT
10. https://github.com/THUwangcy/HawkesKT
11. https://github.com/ApexEDM/iekt
12. https://github.com/Badstu/CAKT_othermodels/blob/0c28d870c0d5cf52cc2da79225e372be47b5ea83/SKVMN/model.py
13. https://github.com/bigdata-ustc/EduKTM

Papers

1. DKT: Deep knowledge tracing
2. DKT+: Addressing two problems in deep knowledge tracing via prediction-consistent regularization
3. DKT-Forget: Augmenting knowledge tracing by considering forgetting behavior
4. KQN: Knowledge query network for knowledge tracing: How knowledge interacts with skills
5. DKVMN: Dynamic key-value memory networks for knowledge tracing
6. ATKT: Enhancing Knowledge Tracing via Adversarial Training
7. GKT: Graph-based knowledge tracing: modeling student proficiency using graph neural network
8. SAKT: A self-attentive model for knowledge tracing
9. SAINT: Towards an appropriate query, key, and value computation for knowledge tracing
10. AKT: Context-aware attentive knowledge tracing
11. Temporal Cross-Effects in Knowledge Tracing
12. IEKT: Tracing Knowledge State with Individual Cognition and Acquisition Estimation
13. SKVMN: Knowledge Tracing with Sequential Key-Value Memory Networks
14. LPKT: Learning Process-consistent Knowledge Tracing

Citation

We now have a paper you can cite for the our pyKT library:

@article{liu2022pykt,
  title={pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models},
  author={Liu, Zitao and Liu, Qiongqiong and Chen, Jiahao and Huang, Shuyan and Tang, Jiliang and Luo, Weiqi},
  journal={arXiv preprint arXiv:2206.11460},
  year={2022}
}