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This paper describes the CTi system that supports teachers in C programming courses. The CTi system provides teachers with student's model, various learning information and inductive instruction tools. Teachers using the system can provide effective feedback to students. Bayesian Belief Networks are used to represent a student's model and relationship between the structure of programming language and the student's knowledge. An empirical study showed the CTi system had positive effects on students' programming performance.
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