Logistic Knowledge Tracing: A Constrained Framework for Learner Modeling

@article{Pavlik2021LogisticKT,
  title={Logistic Knowledge Tracing: A Constrained Framework for Learner Modeling},
  author={Philip I. Pavlik and Luke G Eglington and Leigh Harrell-Williams},
  journal={IEEE Transactions on Learning Technologies},
  year={2021},
  volume={14},
  pages={624-639}
}
Adaptive learning technology solutions often use a learner model to trace learning and make pedagogical decisions. The present research introduces a formalized methodology for specifying learner models, logistic knowledge tracing (LKT), that consolidates many extant learner modeling methods. The strength of LKT is the specification of a symbolic notation system for alternative logistic regression models that is powerful enough to specify many extant models in the literature and many new models… 
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