- Буров, О.Ю. (orcid.org/0000-0003-0733-1120) and Пінчук, О.П. (orcid.org/0000-0002-2770-0838) (2023) Digital technologies for the research of the influence of the nervous system features on the students’ cognitive abilities Інформаційні технології і засоби навчання, 1 (93). pp. 199-216. ISSN 2076-8184
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Abstract
The article is devoted to the description of the computer method and the results of the analysis of its use for the study of the relationship between the components of intelligence, personality traits and features of the nervous system (FNS) of experienced professionals and master’s students in professions related to cognitive activity. It is given a description of psychological tests which are implemented as part of digital technology, developed with the participation of the authors and used to study other aspects of the impact of digitization of education (modified R. Amthauer intelligence structure test, determination of psychological types according to Myers-Briggs, original and modified Khilchenko-Makarenko methods for measuring the strength and functional mobility of nervous processes, including the conditions of the action of interferences), as well as the results of research: nervous system personalities and resistance to interferences during the performance of simple cognitive tasks, the influence of the properties of the strength of the nervous system and the functional mobility of nervous processes on the development of the components of intelligence and on the formation of personal traits. The analysis of experimental data was performed using STATISTICA 5.1 and JASP packages. The experimental data demonstrated that the research digital technology proposed by the authors, provides a reliable assessment of the subjects' FNS. It is shown that the use of research digital technology made it possible to carry out an experimental study of the relationship between the structural components of intelligence and the FNS – the strength of the nervous system, the functional mobility of nervous processes, the indicators associated with them under the conditions of the effects of interferences – and some personal traits of the testers. It has been proven that the modeling of the structural components of intelligence by using the specified properties with the selection of the most informative indicators provides a high and reliable level of correlation at the level of 0.93 and higher. The possibility of building reliable models of the connection of psychotypological personality properties (according to two criterion scales: intuition N – sensory S and thinking T – feeling F) with the studied FNS is shown. With the help of a factor model, the connection of FNS with the structure of intelligence and the structure of personality is shown.
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