Using Machine Learning to Analyze the Learning Process for Solving Mathematical Problems
Bauyrzhan N. Sakysh B. Zhanar A. Nikolay P. Ardak K. Kumys U.
2022International Association of Online Engineering
International Journal of Interactive Mobile Technologies
2022#16Issue 21114 - 124 pp.
The relevance of the research under consideration is due to the need to improve the efficiency of the analysis of the quality, and completeness of the knowledge obtained by students when solving computational problems, the example problems in mathematics. The theoretical argumentation is proposed and the practical implementation of an intelligent automated analytical system for analyzing the quality and forecasting the content of educational material and the trajectories of the students learning direction is described. The relevance of the research is the creation of neural network algorithms that allow analyzing the dynamics of changes in the students level of formation of skills to solve arithmetic problems. The methods of analyzing the assimilation of educational information and methods of personalized construction of the curriculum for each student are substantiated.
Artificial intelligence , Informatics , Mental schemas , Pedagogy
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Kazakh Humanitarian Law Innovative University, Semey, Kazakhstan
Shakarim University, Semey, Kazakhstan
Krasnoyarsk State Pedagogical University named after V.P. Astafyev, Krasnoyarsk, Russian Federation
Kazakh Humanitarian Law Innovative University
Shakarim University
Krasnoyarsk State Pedagogical University named after V.P. Astafyev
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026