New digital opportunities in diagnosis and prevention of students’ mental health

About authors

Institute of Special Education of the Russian Academy of Education, Moscow, Russia

Correspondence should be addressed: Galina A. Goncharova
ul. Pogodinskaya, 1–8, Moscow, 119121, Russia; ur.liam@agavorahcnog

Received: 2021-10-06 Accepted: 2021-11-25 Published online: 2021-12-30

The article deals with new digital opportunities in diagnosis and prevention of health and well-being of students that also create principally new conditions for getting education. Use of digital traces, big data, machine learning and computer modelling in diagnosis results in obtaining important data about mental health of students to examine their behavior, physical activity, emotional condition and a wide specter of personal traits in detail. Quantitative methods combined with big data and artificial intelligence (AI) technologies are utilized to anticipate certain neurological and mental diseases. They allow to overcome limitations of traditional research methods and expand the opportunities of modern education by changing the educational process based on the analysis results and adapting them to the student’s current state and development. When digital technologies are moderately used under certain conditions, they (chat-bots, applications and other online resources) can be utilized as preventive activities, estimating one’s health, improving social and psychological well-being and interactions by transforming the educational process.