Comparing Student Model Accuracy with Bayesian Network and Fuzzy Logic in Predicting Student Knowledge Level

@inproceedings{Danaparamita2014ComparingSM,
  title={Comparing Student Model Accuracy with Bayesian Network and Fuzzy Logic in Predicting Student Knowledge Level},
  author={Muhammad Danaparamita and F. Gaol},
  booktitle={MUE 2014},
  year={2014}
}
The use of computer has widely used as a tool to help student in learning, one of the computer application to help student in learning is in the form of Intelligent Tutoring System. Intelligent Tutoring System used to diagnose student knowledge state and provide adaptive assistance to student. However, diagnosing student knowledge level is a difficult task due to rife with uncertainty. Student Model is the key component in Intelligent Tutoring System to deal with uncertainty. Bayesian Network… Expand
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References

SHOWING 1-10 OF 25 REFERENCES
Modeling Student’s Knowledge on Programming Using Fuzzy Techniques
  • 11
  • Highly Influential
A Qualitative Comparison of Techniques for Student Modeling in Intelligent Tutoring Systems
  • 35
  • PDF
Using Bayesian Networks to Manage Uncertainty in Student Modeling
  • 522
  • PDF
A student model for an intelligent tutoring system helping novices learn object-oriented design
  • 5
  • PDF
Predictive student model supported by fuzzy-causal knowledge and inference
  • 16
A Web-Based Intelligent Tutoring System for Computer Programming
  • 86
  • PDF
Fuzzy Logic Representation for Student Modelling - Case Study on Geometry
  • 19
  • PDF
The Study and Design of Adaptive Learning System Based on Fuzzy Set Theory
  • 19
Student modeling approaches: A literature review for the last decade
  • 207
  • PDF
...
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3
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