Background. Changes going on in the world such as an increase in life expectancy or an increase in the retirement age have caused a revision of the social and psychological characteristics of a pre-retirement age person; actualised the problem of the crisis of loss of profession due to extending period of active working capacity.Objective. The aim of the study is to determine the technologies for preventing the crisis of loss of professional activity among teachers of late age.Methods. The study used theoretical and empirical methods. Psychodiagnostics was used as an empirical method using the following methods: S. Maddy’s Hardiness Survey adapted by E.N. Osin, E.I. Rasskazova; new uncertainty tolerance questionnaire by T.V. Kornilova; scale of psychological well-being by K. Riff adapted by T.D. Shevelenkova, P.P. Fesenko. The study involved 52 teachers of average age 59.3 years, who were diagnosed with reduced indicators of psychological well-being, resilience, tolerance to uncertainty.Results. A programme of socio-psychological training for the prevention of teachers’ crisis of the loss of profession due to late age has been developed and tested. As the result, the indicators of resilience approached high values, indicators of psychological well-being increased to a normative level, indicators of intolerance to uncertainty increased to high values, interpersonal tolerance to uncertainty approached low.Scientific novelty. For the first time, a technology for preventing teachers’ crisis of losing profession, based on increasing psychological well-being, resilience and intolerance to uncertainty, was presented and tested.Practical significance. The training can be used in different types and levels of educational institutions.
Translated title of the contribution TECHNOLOGIES FOR THE PREVENTION OF THE CRISIS OF LOSS OF PROFESSION IN TEACHERS OF LATE AGE
Original languageRussian
Pages (from-to)75-90
Number of pages6
JournalПрофессиональное образование и рынок труда
Issue number2 (49)
DOIs
Publication statusPublished - 2022

    GRNTI

  • 15.21.00

    Level of Research Output

  • VAK List

ID: 30764131