Learning as a Transformation of the Intellect: Neural Network Approach
( Pp. 64-73)

More about authors
A.Gabrielyan Oleg Doctor of Philosophy, Professor; Head of the Department of Philosophy
Taurida Academy of the V.I. Vernadsky Crimean Federal University
Simferopol, Republic of Crimea, Russian Federation Suleimenov Ibragim E. Doctor of Chemistry, Doctor of Physics and Mathematics, Professor; chief researcher
National Engineering Academy of the Republic of Kazakhstan
Almaty, Republic of Kazakhstan Gabrielyan Arus M. Candidate of Political Sciences; lead expert of the Division of International Education
V.I. Vernadsky Crimean Federal University
Simferopol, Republic of Crimea, Russian Federation
Abstract:
The article analyzes the transformation of the human intellect as a connection between the collective conscious and the collective unconscious. The phenomenon of the collective professional unconscious is examined. Learning is defined as a directed transformation of the intellect of the individual, providing the possibility of effective communication with the information environment. The authors substantiate the hypothesis that human intelligence is dual in nature and is determined by the nature of interpersonal communications, as a result of which a common neural network is formed. The professional collective unconscious, as a segment of the collective unconscious, is responsible for the highest levels of professionalism – for the presence of professional intuition, for flashes of creative activity, the so-called “insights”, etc. The authors come to the conclusion that the use of the collective professional unconscious makes it possible to move to a different level of interaction with transpersonal information structures. This approach now opens up new opportunities in learning.
How to Cite:
Gabrielyan O.A., Suleimenov I.E., Gabrielyan A.M. Learning as a Transformation of the Intellect: Neural Network Approach. Sociopolitical Sciences. 2023. Vol. 13. No. 1. Pр. 64–73. (In Rus.) DOI: 10.33693/2223-0092-2023-13-1-64-73
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Keywords:
learning, higher education, neural network, intelligence transformation, collective unconscious, professional collective unconscious, transpersonal information structures.


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