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**:** 2014
**:** . . / . 49. .: , 2014. .96-128.

** :** , , , ,

** (.):** intelligent teaching system, student model, machine learning, user model

**:** . . . , , .

** (.):** We employ machine learning techniques to develop a mathematical model, which predictsstudents psychological state basing on logs of his/her problem-solving activity in an intelligent teaching system.The suggested model can be extended to predict the state of a user of any information system, which stores user activity logs.

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