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Bayesian Networks in Intelligent Tutoring Systems as an Assessment of Student Performance using Student Modeling

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Published:27 July 2018Publication History

ABSTRACT

This paper developed a model for designing an intelligent tutoring system for any programming language using Bayesian networks. The design model of the tutoring system considers a user model using student model. The Bayesian network was used to assess the current state of knowledge of the student so that the model can adjust and present new knowledge to improve student performance as an outcome in an e-learning environment.

References

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  1. Bayesian Networks in Intelligent Tutoring Systems as an Assessment of Student Performance using Student Modeling

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      ICACS '18: Proceedings of the 2nd International Conference on Algorithms, Computing and Systems
      July 2018
      245 pages
      ISBN:9781450365093
      DOI:10.1145/3242840

      Copyright © 2018 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 27 July 2018

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