Fetching the paper…
Reading the bibliography…
We consider the equity and fairness of curricula derived from Knowledge Tracing models.
Knowledge tracing: Modeling the acquisition of procedural knowledge
A. T. Corbett and J. R. Anderson · 1994
Earlier work this paper cites.
Principles of biomedical ethics
T. L. Beauchamp, J. F. Childress, et al · 2001
Earlier work this paper cites.
Modeling individualization in a bayesian networks implementation of knowledge tracing
Z. A. Pardos and N. T. Heffernan · 2010
Earlier work this paper cites.
The impact on individualizing student models on necessary practice opportunities
J. I. Lee and E. Brunskill · 2012
Earlier work this paper cites.
Intelligent tutoring systems: an overview
G. Paviotti, P. G. Rossi, and D. Zarka · 2012
Earlier work this paper cites.
Individualized bayesian knowledge tracing models
M. V. Yudelson, K. R. Koedinger, and G. J. Gordon · 2013
Earlier work this paper cites.
Deep knowledge tracing
C. Piech, J. Bassen, J. Huang, S. Ganguli, M. Sahami, L. J. Guibas, and J. Sohl-Dickstein · 2015
Cited alongside, same era.
When to stop? towards universal instructional policies
T. Käser, S. Klingler, and M. Gross · 2016
Cited alongside, same era.
Conceptual issues in mastery criteria: Differentiating uncertainty and degrees of knowledge
R. Pelánek · 2018
Cited alongside, same era.
The details matter: methodological nuances in the evaluation of student models
R. Pelánek · 2018
Cited alongside, same era.
Fairer but not fair enough on the equitability of knowledge tracing
S. Doroudi and E. Brunskill · 2019
Cited alongside, same era.
When is deep learning the best approach to knowledge tracing?
T. Gervet, K. Koedinger, J. Schneider, T. Mitchell, et al · 2020
Cited alongside, same era.
Algorithmic fairness in education
R. F. Kizilcec and H. Lee · 2020
Later among the works it cites.
Evaluation of fairness trade-offs in predicting student success
H. Lee and R. F. Kizilcec · 2020
Later among the works it cites.
Towards accurate and fair prediction of college success: Evaluating different sources of student data
R. Yu, Q. Li, C. Fischer, S. Doroudi, and D. Xu · 2020
Later among the works it cites.
Quizzing policy using reinforcement learning for inferring the student knowledge state
J. He-Yueya and A. Singla · 2021
Later among the works it cites.
Reinforcement learning for education: Opportunities and challenges
A. Singla, A. N. Rafferty, G. Radanovic, and N. T. Heffernan · 2021
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Later among the works it cites.
Educational question mining at scale: Prediction, analysis and personalization
Z. Wang, S. Tschiatschek, S. Woodhead, J. M. Hernández-Lobato, S. Peyton Jones, R. G. Baraniuk, and C. Zhang · 2021
Later among the works it cites.