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BKT: Bayesian Knowledge Tracing Model
Fitting, cross-validating, and predicting with Bayesian Knowledge Tracing (BKT) models. It is designed for analyzing educational datasets to trace student knowledge over time. The package includes functions for fitting BKT models, evaluating their performance using various metrics, and making predictions on new data. It provides the similar functionality as the Python package pyBKT authored by Zachary A. Pardos (zp@berkeley.edu) at <https://github.com/CAHLR/pyBKT>.
Getting started
Browse package contents
Package details |
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| Author | Yuhao Yuan [aut, cre], Biying Zhou [aut], Feng Ji [aut] |
| Maintainer | Yuhao Yuan <yuanyuhaoapply@163.com> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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