Keyword: «preparation»

The article analyzes the specifics of air navigation in the Arctic, as well as the features of air traffic control in the polar regions of the Arctic and Antarctic. The measures additionally performed by the persons of the flight management group in preparation for air traffic maintenance are described. The specifics of the actions of officials in the service process are given to ensure flight safety.

The article discusses some features of the development of a mobile application that can be used to prepare for the exam in physics. The requirements for the development of mobile learning programs, the advantages and possible problems of using such interactive applications by students are described.

The article considers an algorithm for calculating the quantitative characteristics of the training of students in one semester. The amount of knowledge acquired by students in the course of preparation in a separate semester is presented in the form of a deterministic matrix model. The algorithm is based on a functional-structural approach, in which the educational process in military educational institutions of higher education is divided into a structure of sequential and functionally completed training cycles for students in the specialty. The initial data for the algorithm are the distribution of study time in the disciplines of one se-mester of study from the curriculum in the specialty, as well as data on the qualifications of the teaching staff. Additional sources of knowledge are taken into account, and the possibility of students forgetting their knowledge is taken into account. The implementation of the proposed algorithm will allow us to quantify the quality of the learning process in the semester and the influence of objective and subjective factors on it.

The relevance of this study stems from the rapid development of modern technologies and their expanding application within the educational sphere. The digital transformation of education, the active implementation of artificial intelligence (AI) tools, and the growing demand for educators' digital competence underscore the necessity to investigate the readiness of preservice teachers to work with new technologies. However, contemporary teacher training programs often prioritize traditional methods, neglecting the need to integrate AI into the teaching process and develop relevant skills. This creates a risk of professional obsolescence among graduates and a decline in the quality of educational services in the context of technological revolution. Consequently, the aim of this article is to identify the level of readiness among students in pedagogical specialties to apply artificial intelligence in educational activities. Within the research framework, a literature analysis was conducted to identify AI modules in the curricula of teacher training universities. Additionally, an analysis of the content of these curricula was made, revealing the relationship between module design and students' AI readiness. Based on the research findings, shortcomings in the current content of AI-related courses within pedagogical universities were identified; risks associated with students potentially neglecting personalized learning and AI utilization were presented. The following solutions were proposed: reforming teacher education curricula; focusing on addressing ethical and privacy challenges arising from the use of this technology; strengthening student teachers' AI preparation through empirical research and scientific methodology, including experimental studies; integrating AI via digital pedagogy modules. The theoretical significance of the study lies in defining the direction for future research on the specifics of AI application in education. The practical significance of this research is driven by the imperative to prepare students in pedagogical universities for implementing AI in the educational process.