Anna А. Baranova

The relevance of the research is determined by the need to reduce the gap between academic training and the industry requirements. Modern challenges in the nuclear medicine related to the development of nuclear energy and high-tech industries, as well as the request from both medical institutions and technology companies to obtain more accurate and informative results by using of mathematical and algorithmic methods for the analysis, interpretation and processing of medical signals, actualize the need to give the students of technical specialties not only theoretical knowledge, but also practical competences in these areas. One of the most effective ways to gain practical skills is to integrate industry competitions into the pedagogical system of engineering education. The aim of the paper is to substantiate the need for systematic participation of students and teachers in specialized competitions and identify the key factors to realize this approach successfully. There are developing radiation safety skills and implementing digital transformation of data processing by using modern information technologies used as examples in the paper. The paper is devoted to the study of pedagogical conditions that contribute to the effective training of specialists through the integration of industry competitions into the educational process. The main approach here is to analyze scientific theories and practices that should be used to integrate industry championships into higher education effectively, as well as to identify the advantages and disadvantages of existing variants for implementing such integration. The work results in substantiating the necessary conditions for integration and describing positive experiences by using the examples of radiation and information technology trajectories in a bioengineering educational program. The theoretical significance is determined by the basis of socio-psychological theories that confirm the effectiveness of the activity-based approach in education. The practical significance of the work lies in the examples of successful integration of practices based on competitive events into the educational process and improvement of the education quality.

The relevance of the research is determined by the need to develop a systemic approach to education quality management at the level of educational programs in the context of changing labor market requirements. The need to ensure that graduate training meets employers’ demands requires the development of regulatory, organizational and methodological aspects for assessing the effectiveness of educational processes. The aim of the work is to test the quality assessment model, analyze statistical data and identify the strengths and weaknesses of the bioengineering master's degree program. The approach to the organization of the model includes the development of criteria that reflect not only the set of requirements for the program accreditation, but also the analysis of students' academic achievements, allowing them to solve interdisciplinary tasks and adapt to the dynamic requirements in their professional activities. There is a set of methods applied in the work, namely: analysis of the regulatory acts regarding the requirements of the Federal State Educational Standard and the Self-established Educational Standard of higher education required by the university to open a program; systematization of accumulated experience in evaluating educational programs; pedagogical modeling and design of organizational and methodological mechanisms for ensuring interdisciplinarity and practice-oriented education, innovative development of the university; analytical work with data from the annual monitoring of the quality of graduate training. The results of the study confirmed that the model provides an assessment of the program effectiveness: at the operational level – through monitoring academic performance and involvement in project-based activities; at the strategic level – through an analysis of employment and professional adaptation of graduates. Growth areas were identified: the need to strengthen interdisciplinary design modules and expand partnerships with enterprises. The theoretical significance of the work is in the development of education quality management methodology through the integration of qualitative and statistical methods, which expands the possibilities to predict the long-term effects of educational programs. The practical significance consists in the development of an algorithm for implementing an assessment system that considers the specific focus of the program, determined by the material and technical base of universities and the needs of the industry. The results of the model testing can be scaled to other engineering areas, used to adjust the program to increase the competence of graduates in the use of digital technologies and strengthen the university's cooperation with regional enterprises.