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METHODS OF MONITORING THE ACADEMIC ACTIVITY OF STUDENTS WITH THE HELP OF ARTIFICIAL INTELLIGENCE

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By this time, humanity has achieved and continues to achieve great scientific and practical achievements. One of them is artificial intelligence (AI), which is widely used in many areas of human activity. Currently, SI is rapidly developing in many areas, and the higher education system is no exception. This article is devoted to the analysis of the factors affecting the prediction of the student's academic activity and the methods used in practice to control it and further increase the student's potential.

AUTHORS

N.Mamatov

Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University

A.Samijonov

Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University

S.Ibrokhimov

Namangan state university

Tags

# нейронная сеть# neural network# artificial intelligence# искусственный интеллект# сунъий интеллект# decision tree# Bayesian method# k-nearest neighbors# дерево решений# байесовский метод# k- ближайшие соседи# қарор дарахти# нейрон тармоқ# Байес усули# к-яқин қўшнилар

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References

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