Development and Optimization of Learning Load Calculation Algorithms Using MachineLearning Technologies

Abstract

The article describes the process of developing and implementing algorithms for calculating the
teaching load of teachers using machine learning methods. Algorithms allow you to take into account many factors, including the teacher's qualifications, the availability of hours, and the characteristics of courses. The paper uses an optimization algorithm based on linear programming with constraints and a retrained
classification model to improve the quality of load distribution. The proposed approach ensures a flexible and efficient allocation of hours between teachers, minimizing inconsistencies and ensuring a more even
distribution of tasks.