ANALYSIS OF THE LEVEL OF DIGITAL LITERACY USING MACHINE LEARNING

Abstract

Currently, digital technologies are penetrating deeper and deeper into all spheres of human activity. And it is difficult to imagine at least any area of human activity that is not affected by digital technologies. The transition to a digital way of transmitting information (digitalization) can be observed in all directions: in the development of interpersonal relationships, in professional activity, in receiving and providing services, recreation, and much more. Modern teenagers actively use laptops, gadgets are not only a means of communication and entertainment, but also as a tool for education. The following research paper examines the use of digital opportunities among the population. The input data were the results of the official website stat.gov and the questionnaire. The main purpose of this study is to evaluate and use several algorithms to determine the level of digital literacy of the population using raw data. Before extracting the data features, the sample was carefully processed. To improve the accuracy of the implemented model, hybrid methods were used to extract features. Six classifiers were used to classify the data. As a result, a detailed comparative evaluation was carried out for several trained models. All the results of the trained models are presented in the form of histograms and tables. The paper provides statistical data for 2020-2022. Based on the analysis of statistical data, the author of the article made conclusions that allow us to talk about the formation of new trends in the digital development of Kazakhstan.