Uma Rede Bayesiana aplicada a ` Modelagem do Conhecimento Alg ́ ebrico do Aprendiz

@inproceedings{Seffrin2013UmaRB,
  title={Uma Rede Bayesiana aplicada a ` Modelagem do Conhecimento Alg ́ ebrico do Aprendiz},
  author={Henrique M. Seffrin and G. Rubi and P. Jaques},
  year={2013}
}
Devido a capacidade de inferir probabilidades a partir de dados incertos e imprecisos, Redes Bayesianas (RB) tem sido utilizadas para modelar o conhecimento do aluno em Sistemas Tutores Inteligentes (STI). Este artigo apresenta a implementacao de uma RB para um modelo de aluno no dominio de algebra. A rede foi modelada baseando-se em um mapa conceitual de operacoes de 1o grau. Diferentemente de outros trabalhos na area, esta rede infere o conhecimento do aluno a partir de cada acao (passo) do… Expand
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References

SHOWING 1-10 OF 10 REFERENCES
Using Bayesian Networks to Manage Uncertainty in Student Modeling
TLDR
The basic mechanisms that allow Andes’ student models to soundly perform assessment and plan recognition, as well as the Bayesian network solutions to issues that arose in scaling up the model to a full-scale, field evaluated application are described. Expand
Using Bayesian networks to improve knowledge assessment
TLDR
The integration and evaluation of an existing generic Bayesian student model (GBSM) into an existing computerized testing system within the Mathematics Education Project (PmatE) of the University of Aveiro and results show a high degree of agreement among the scores given by the experts and also among the diagnosis provided by the BSM in the written exam and expert's average. Expand
Procedural Help in Andes: Generating Hints Using a Bayesian Network Student Model
TLDR
Andes, an intelligent tutoring system for Newtonian physics, refers to a probabilistic student model to make decisions about responding to help requests, and provides feedback and hints tailored to the student's knowledge and goals. Expand
Bayesian networks for student model engineering
TLDR
The purpose of this paper is to provide education practitioners with the background and examples needed to understand Bayesian networks and use them to design and implement student models. Expand
Building a Computer Tutor: Design Issues
TLDR
This work intends to develop and INTEGRATE KNOWLEDGE Acquis- ITion toOLs to FACILITATE ASSIMILATION of teaching and learning, and integrate knowledge into inTELLIGENT TUTORS. Expand
Student Modeling in Orthopedic Surgery Training: Exploiting Symbiosis between Temporal Bayesian Networks and Fine-grained Didactic Analysis
TLDR
This paper proposes an approach for student modeling and diagnosis, which is based on a symbiosis between temporal Bayesian networks and fine-grained didactic analysis, which may help building a powerful domain knowledge model and the former may help modeling the learner's complex cognitive behavior. Expand
The Behavior of Tutoring Systems
  • K. VanLehn
  • Computer Science
  • Int. J. Artif. Intell. Educ.
  • 2006
TLDR
Although tutoring systems differ widely in their task domains, user interfaces, software structures, knowledge bases, etc., their behaviors are in fact quite similar. Expand
An Interview Reflection on “Intelligent Tutoring Goes to School in the Big City”
TLDR
This study was one of the first large-scale classroom evaluations of the integrated use of an Intelligent Tutoring System (ITS) in high schools and showed that a new algebra curriculum with an embedded intelligent tutoring system dramatically enhanced high-school students’ learning. Expand
Building Intelligent Interactive Tutors
Experiments with Aplusix in Four Countries.