Authors
- Pobedinskaya Tatiana V.
- Zaslavskaya Olga Yuryevna Doctor of Pedagogy, Full Professor
Annotation
The article discusses the use of machine learning algorithms for predicting the performance of students in a primary school. The results of the work of two machine
learning algorithms are compared and the necessary data about students are determined, which are advisable to collect in order to obtain high accuracy in predicting academic performance. The purpose of the study: to study the effectiveness of using machine learning algorithms to solve the problem of predicting the progress of primary school students. Research objectives: to collect data on students to predict academic performance; to explore the practical application of machine learning algorithms for solving the problem of predicting the progress of students in a primary school. The method of questioning was chosen as the leading method for solving the first problem. The experimental method was used to solve the second problem.
How to link insert
Pobedinskaya, T. V. & Zaslavskaya, O. Y. (2022). THE USE OF MACHINE LEARNING ALGORITHMS TO PREDICTION THE PERFORMANCE OF BASIC SCHOOL STUDENTS Bulletin of the Moscow City Pedagogical University. Series "Pedagogy and Psychology", 2022, №4 (62), 75. https://doi.org/10.25688/2072-9014.2022.62.4.06
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