Input-Aware Neural Knowledge Tracing Machine

ICPR Workshop'2021: Input-Aware Neural Knowledge Tracing Machine. (Tensorflow implementation for INKTM)

The codes are put into the file INKTM_github!

This is the code for the paper: Input-Aware Neural Knowledge Tracing Machine

If you find this code is useful for your research, please cite as:

Moyu Zhang, Xinning Zhu, and Yang Ji. 2021. Input-Aware Neural Knowledge Tracing Machine. In the Proceedings of Pattern Recognition, ICPR International Workshops and Challenges (ICPR 2021), 345-360.

Setups

• Python 3.6+
• Tensorflow 1.14.0
• Scikit-learn 0.21.3
• Numpy 1.17.2

How to run model

If you want to preprocess data, you can do as below:

python3 encode.py

Take ASSISTments2009 dataset as an example, you just need to download the original dataset and set the path of dataset.

If you want to predict students' answer, you can do as below:

python3 main.py

(If you have any questions, please contact me on time. My E-mail is [email protected].)