Sergey Nikulin - Kazan Law Institute of the Ministry of Internal Affairs of Russia, Department of Tactical-Special and Fire Training, Kazan, Russia.
Natalya A. Solovyeva - Volgograd State University, Department of Criminal Procedure and Criminalistics, Volgograd, Russia
Andrew A. Akhayan - Herzen State Pedagogical University of Russia, Department of Didactics, Saint Petersburg, Russia
Rashad A. Kurbanov - Institute of Legislation and Comparative Law under the Government of the Russian Federation, Department of Legal Basis of the Economic Activity, Moscow, Russia
Asiya M. Belyalova - Institute of Legislation and Comparative Law under the Government of the Russian Federation, International Cooperation Department, Moscow, Russia
Ramin A. Gurbanov - Plekhanov Russian University of Economics, Department of Civil Legal Disciplines, Moscow, Russia.

Purpose: The purpose of the article is to develop algorithms based on the specifics of adult education in modern conditions for the design and diagnosis of situational problems that contribute to the productivity of learning in the system of continuing education. Methodology: The methodological basis is the theory of contextual learning, formally limiting the subject and social content of occupational activity and clearly defining the real professional tasks. Result: The results of the study allow using the obtained technological algorithms in the organization of adult education in the design of didactic materials – tasks, projects and diagnostic toolkit. Applications: This research can be used for the universities, teachers and students. Novelty/Originality: In this research, the model of the Situational Tasks in Adult Education: Design and Diagnostics Algorithms is presented in a comprehensive and complete manner.

Adult education, Design and diagnostics algorithms, Situational tasks, Increasing the productivity, Teaching and training