Abstract:

The article presents some conclusions of the use of neuroscience achievements based on a number of neurophysiological criteria in pedagogical university students in the process of adaptation to learning. These conclusions were obtained in the course of work on the grant «Fundamental study of individual differences in learning among students and schoolchildren using methods of neuroscience and big data technologies» No. 073-03-2021-020/2 of the Ministry of Education of the Russian Federation. The study revealed the influence of individual differences in students' learning, and the importance of neurophysiological criteria in the formation of students' adaptation to university education using neuroscience methods and big data technologies. Neurophysiological criteria reflecting the characteristics of the functional state of the central nervous system are identified and substantiated in the work. It is recommended to determine the neurophysiological type of students taking into account the individual characteristics of learning and determining the methods of adaptation of students of a pedagogical university. For students acquiring professional skills in higher educational institutions, rapid and comfortable adaptation in the educational environment of the university is one of the factors affecting the quality of education and the level of training in this regard, the use of achievements of neuroscience is relevant. The paper examines the influence of the information and psychological load on the functional state of the central nervous system of pedagogical university students in order to take into account individual characteristics when selecting methods of adaptation to higher education.

Based on the conducted research, the authors propose to highlight and use the data obtained on the adaptation of first-year students to the educational environment of the university.