Inductive Graph-based Knowledge Tracing

Bigcomp2023

@inproceedings{han2023inductive,
  title={Inductive Graph-based Knowledge Tracing},
  author={Han, Donghee and Kim, Daehee and Han, Keejun and Yi, Mun Yong},
  booktitle={2023 IEEE International Conference on Big Data and Smart Computing (BigComp)},
  pages={92--99},
  year={2023},
  organization={IEEE}
}

Datasets

• EdNet dataset from : https://github.com/riiid/ednet
• ASSIST2017 dataset from : https://sites.google.com/view/assistmentsdatamining
• Pre-processed dataset in data directory. (only ASSIST2017 dataset in this repository)

Docker Container

• Docker container use cgmc project directory as volume
• File change will be apply directly to file in docker container

Train

1. make up : build docker image and start docker container
2. check train_config/train_list.ymal file (default: assist2017 with igmc, igkt, igkt_ts and igkt_gat)
3. python3 src/train.py : start train in docker container