umap2017-mastery

Source codes for experiments with simulated data reported in the "Experimental Analysis of Mastery Learning Criteria" paper presented at the UMAP 2017 conference.

Files

• simulated_data.py Code for generating simulated data using the BKT model and logistic model.
• scenarios.json Definition of specific parameter values used for generating simulated data.
• mastery_methods.py Implementation of several simple mastery criteria.
• umap_experiments.py Execution of experiments reported in the paper.

Bibtex

@InProceedings{umap2017-mastery,
  author = 	 {Pel{\'a}nek, Radek and {\v{R}}ih{\'a}k, Ji{\v{r}}{\'\i}},
  title = 	 {Experimental Analysis of Mastery Learning Criteria},
  booktitle =    {Proc. of User Modelling, Adaptation and Personalization},
  year = 	 {2017}
}