Knowledge_tracing_baseline

This code is Deep knowledge Tracing(DKT) baseline code for Learning Analytics(LA) and Educational Data Mining(EDM) researchers.

Environments

We use Docker environments for develop my code.

The Docker Image is 'ufoym/deepo'.

'ufoym/deepo' has a lot of python package for deep learning.

How to start?

1. Use terminal and type this code. You should check your path(use pwd).

$ python3 train.py --model_fn model.pth

2. If you want to use more options, then try this code and check the more options

$ python3 train.py --help

3. You can check your GPU can be available by using this code.

$ nvidia-smi

Erata

Mail address: codingchild@korea.ac.kr

References

1. Juno-hwang's Juno-dkt github page

https://github.com/juno-hwang/juno-dkt

2. Hyungcheol Noh's blog and github page

https://github.com/hcnoh/knowledge-tracing-collection-pytorch

https://hcnoh.github.io/2019-06-14-deep-knowledge-tracing

3. Kim, Ki Hyun's lectures in Fastcampus

https://fastcampus.co.kr/

4. Deep Knowledge Tracing Paper

Piech, C., Spencer, J., Huang, J., Ganguli, S., Sahami, M., Guibas, L., & Sohl-Dickstein, J. (2015). Deep knowledge tracing. arXiv preprint arXiv:1506.05908.