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.
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Index Terms
- Bayesian Networks in Intelligent Tutoring Systems as an Assessment of Student Performance using Student Modeling
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