Comparative Evaluation of Modern Methods Optimization of Information Processes in Educational Platforms

This article is a study in which a comparative assessment of various modern methods of optimizing information processes in educational platforms is carried out. Several optimization methods have been studied, including machine learning, information modeling, and gamification, and a comparative analysis of their effectiveness in educational contexts has been conducted. The article describes a research methodology that includes data sampling, determination of performance criteria, evaluation of results and statistical analysis of the data obtained. Each optimization method is described in detail and its applicability in educational platforms, as well as recommendations for choosing the optimal method for a particular case. During the research, it was found that each optimization method has its advantages and disadvantages. Moreover, examples of educational platforms that are currently used in Kazakhstan were given. The article provides a valuable overview of modern methods of optimizing information processes in educational platforms and can be useful for researchers, platform developers and teachers who are interested in optimizing and improving the effectiveness of educational processes.