Skip to content

sone47/OKT

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Offline-aware Knowledge Tracing

ICTAI'2022: Modeling Offline Knowledge Evolution Effect for Online Knowledge Tracing (Pytorch implementation for OKT).

How to use the code

  1. Prepare the dataset you want by running

    python prepare_data/prepare_[dataset_name].py

    , where [dataset_name] can be assist2012, assist2017 and nips2020_1_2.

  2. Use the model by running

    python main.py --dateset [dataset_name] --model [model_name]

    , where the optional values of [dataset_name] is the same as above, and if you do not specify the dataset it will default to assist2017; the optional values of [model_name] can be okt, okt_not, okt_nu, okt_ne, and if you do not specify the dataset it will default to okt.

About

Offline-aware Knowledge Tracing

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages