Summer 2019. The post-hoc explainable for Bayesian Knowledge Tracing was accepted to the 2019 IEEE Workshop on Visualization for AI Explainability. [Noah Cowit '20]
This overview of our Summer 2018 BKT Explainables was accepted as a poster to the 2018 IEEE Workshop on Visualization for AI Explainability.
2018-2020. In our paper in AAAI AIES 2020 "Assessing Post-hoc Explainability of the BKT Algorithm", we compare the difference in learning gains of Mechanical Turk workers using a static or interactive version of the Alchemy BKT Explainable from Summer 2018. [Haoyu Sheng '20, Tongyu Zhou '20]
Summer 2018. This is a paper prototype of a driving analogy to explain the various components of the Bayesian Knowledge Tracing Algorithm. [Young Cho '19]
Summer 2018. This is an early prototype of the Alchemy BKT Explainable featured in our paper in AAAI AIES 2020 "Assessing Post-hoc Explainability of the BKT Algorithm". Later, a static and interactive version was created and evaluated on Mechanical Turk. [Kelvin Tejeda '20, Tongyu Zhou '20]