Keyword: «transdisciplinary approach»

The use of innovative technologies and approaches, increasing the number and technical complexity of the equipment being introduced in institutions of penitentiary system, involves the provision of guard and control forces by highly qualified specialists who have practical skills to use modern engineering and technical means of guard and control (hereinafter, ETMGC). At the same time, the problems of training in modern ETMGC in educational institutions of the Federal Penitentiary Service (FPS), including the possibility of practice-oriented teaching methods applying, are not actually researched. Today, learning ETMGC in the system of professional education of the FPS of Russia is based on the didactic triad "knowledge – abilities – skills", the main attention is paid to the assimilation of knowledge that does not fully meet the requirements of practice. This is confirmed by the results of the penitentiary system bodies and institutions heads questioning and Russian FPS analytical reviews, indicating that the quality control of ETMGC technical services, coordination of the reserve groups with the use of ETMGC for the suppression of offences remain poor. One of the reasons for these shortcomings is low capacity for evaluation of technical condition and using modern ETMGC - indicating, in its turn, inefficiency in the process of engineering competence formation among future personnel of the penitentiary system - trainees of higher education institutions of the Federal Penitentiary Service of Russia. The purpose of this article is to determine the pedagogical conditions providing efficiency increase of practice-oriented learning ETMGC in the higher education institutions of the FPS on the base of theoretical analysis. Methodological base of the research was as following: system approach in vocational education, personal-oriented approach; reflective-activity approach, transdisciplinary approach, use of active forms in professional training. On the base of literature analysis, his own experience reflection, the author outlines four pedagogical conditions necessary for the implementation of practice-oriented learning of modern engineering and technical means of guard and control at higher education institutions of the FPS. Obtained results may be used in practice by higher education institutions managers and the specialized departments in learning ETMGC.

In modern education, a transdisciplinary approach is increasingly used, bringing it to a new, higher level of knowledge. Mathematics is of crucial importance in the emergence of unique transdisciplinary scientific fields such as cybernetics, artificial intelligence (AI), big data, etc. The aim of the article is to substantiate the need for the introduction of a course "Mathematical foundations of artificial intelligence" in universities and its transdisciplinary role in teaching. When substantiating the transdisciplinary role, it is taken into account that artificial intelligence systems are based on discrete sections of mathematics and sections of computer science. These sections synthesize a new, previously disparate problem field, built on top of the traditional grid of the studied disciplines. Based on the study of these sections, a transdisciplinary style of thinking and a new holistic worldview, readiness for a systemic solution of complex problems of nature and society are developed. In the study, the leading role was played by the methods of systems analysis of the AI development and its mathematical foundations, which are important in improving the performance of computers. In accordance with the culturological approach, the study highlights the most significant components of the mathematical culture of AI research, which are mathematical modeling and discrete mathematics. As a result of the systems analysis, the structural elements of the profile content of the course (module) "Mathematical foundations of AI" for the implementation of the transdisciplinary role of this course are identified. “Curriculum” conceptual provisions on the development of recommendations for the content of typical curricula for teaching the course “Mathematical Foundations of AI” in universities were identified. It is important for students to understand that mathematics is unified and that there is an internal logic to mathematics. Therefore, it is important to teach AI systems based on a logically correct relationship between discrete and continuous mathematics. The specified course represents the basis for the development of general professional competences in the field of AI including: the ability to develop original algorithms and software products for solving professional tasks; the ability to develop and upgrade software and hardware for information and automated systems. The proposed course contributes to the development of general professional competences in the field of AI for the training of students in various fields. The theoretical and practical significance of the study lies in the fact that the structural elements and didactic provisions for selecting the profile content of the course “Mathematical Foundations of AI” have been identified and characterized.