Bayesian networks for student model engineering

@article{Milln2010BayesianNF,
  title={Bayesian networks for student model engineering},
  author={E. Mill{\'a}n and Tomasz D. Loboda and J. P{\'e}rez-de-la-Cruz},
  journal={Comput. Educ.},
  year={2010},
  volume={55},
  pages={1663-1683}
}
Bayesian networks are graphical modeling tools that have been proven very powerful in a variety of application contexts. [...] Key Method Basic and advanced concepts and techniques are introduced and applied in the context of typical student modeling problems. A repertoire of models of varying complexity is discussed. To illustrate the proposed methodology a Bayesian Student Model for the Simplex algorithm is developed.Expand
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