Socio-historical need for the integration of logic with prognostic sciences in the methodology of knowledge for the rational and productive functioning of the society
Автор: Chashina Zhanna V.
Журнал: Гуманитарий: актуальные проблемы науки и образования @jurnal-gumanitary
Рубрика: Философия
Статья в выпуске: 2 (46), 2019 года.
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Introduction. The article discusses the actual issue - ensuring the search and selection of the necessary information in various professional situations. This task is aimed at learning how to solve problematic situations in future professional activities, as well as discover individual characteristics, actualize the manifestation of creative self-reliance in the educational process, form and develop general cultural and professional competencies. The article provides a theoretical justification for the application of the technique of logical modeling in the process of obtaining knowledge, as well as their implementation in the educational process of higher education. Materials and Methods. The study was based on Article 20 of the Fundamentals of the Legislation of the Russian Federation on the Protection of Citizens’ Health (2011), which is a necessary standard when studying the course Bioethics. The methodological basis was the technology of logical modeling using an abstract model of a deductive nature based on a deterministic connection, a probabilistic model and a model of analogies. Results. The technology of logical modeling is presented in the result, which is the development of logical, sequential, rational, analytical, objective thinking and revealed the ability to apply theoretical knowledge in practice. Discussion and Conclusions. Logical modeling in the system of interdisciplinary knowledge is productive both in the research activity of the trainees and in the educational process with the inclusion of the presented materials in the interdisciplinary courses, which is Bioethics.
Abstract model, probabilistic modeling, deduction, deterministic connections, cybernetics, conjunction, logical modeling, analogy method, identification of situations
Короткий адрес: https://sciup.org/147218361
IDR: 147218361 | DOI: 10.15507/2078-9823.046.019.201902.173-180