Context-Aware Attentive Knowledge Tracing
KDD'2020: Context-Aware Attentive Knowledge Tracing (Pytorch implementation for AKT).
This is the code for the paper:
Context-Aware Attentive Knowledge Tracing
Aritra Ghosh, Neil Heffernan, Andrew S. Lan
To be presented at KDD 2020.
If you find this code useful in your research then please cite
@inproceedings{ghosh2020context,
title={Context-Aware Attentive Knowledge Tracing},
author={Ghosh, Aritra and Heffernan, Neil and Lan, Andrew S},
booktitle={Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining},
year={2020}
}
Setups
The requiring environment is as bellow:
- Linux
- Python 3+
- PyTorch 1.2.0
- Scikit-learn 0.21.3
- Scipy 1.3.1
- Numpy 1.17.2
Running AKT.
Here are some examples for using AKT-Rasch model (on ASSISTments2009 and ASSISTments2017 datasets):
python main.py --dataset assist2009_pid --model akt_pid
python main.py --dataset assist2017_pid --model akt_pid
Here is an example for using AKT-NonRasch model (on all datasets):
python3 main.py --dataset assist2015 --model akt_cid
Contact: Aritra Ghosh (aritraghosh.iem@gmail.com).