Optimal and Worst-Case Performance of Mastery Learning Assessment with Bayesian Knowledge Tracing

Stephen Fancsali, Tristan Nixon, Steven Ritter. Optimal and Worst-Case Performance of Mastery Learning Assessment with Bayesian Knowledge Tracing. In Sidney K. D'Mello, Rafael A. Calvo, Andrew Olney, editors, Proceedings of the 6th International Conference on Educational Data Mining, Memphis, Tennessee, USA, July 6-9, 2013. pages 35-42, International Educational Data Mining Society, 2013. [doi]

@inproceedings{FancsaliNR13,
  title = {Optimal and Worst-Case Performance of Mastery Learning Assessment with Bayesian Knowledge Tracing},
  author = {Stephen Fancsali and Tristan Nixon and Steven Ritter},
  year = {2013},
  url = {http://www.educationaldatamining.org/EDM2013/papers/rn_paper_08.pdf},
  researchr = {https://researchr.org/publication/FancsaliNR13},
  cites = {0},
  citedby = {0},
  pages = {35-42},
  booktitle = {Proceedings of the 6th International Conference on Educational Data Mining, Memphis, Tennessee, USA, July 6-9, 2013},
  editor = {Sidney K. D'Mello and Rafael A. Calvo and Andrew Olney},
  publisher = {International Educational Data Mining Society},
  isbn = {978-0-9839525-2-7},
}