Detection of Intellectual Giftedness in Children of Different Ages and Methods of its Development as an Aspect of Neurophysiological Development

Authors

  • Iryna Pidlypniak Pavlo Tychyna Uman State Pedagogical University
  • Oksana Marchuk Academician Stepan Demianchuk International University of Economics and Humanities
  • Victoriia Naichuk H.S. Skovoroda Kharkiv National Pedagogical University
  • Olena Tryfonova V.O. Sukhomlynskyi Mykolaiv National University
  • Inokentii Korniienko Mukachevo State University
  • Svitlana Mashchak Lviv Polytechnic National University

DOI:

https://doi.org/10.18662/brain/14.1/418

Keywords:

Skills and abilities, child's potential, trial tests, neurophysiological features of giftedness, level of intelligence, IQ test

Abstract

In this article, the concept of giftedness in children of different ages, its types and characteristics, the basics of diagnosis and methods of development of factors contributing to intellectual abilities were studied. In this context, quite a lot of opinions and worldviews of thinkers of different historical eras, including Plato, Confucius and others, were analyzed regarding the definition of the concept of giftedness in children. The neurophysiological features of mental thinking were also investigated. It was concluded that giftedness is a unique combination of abilities that are the result of neurophysiological processes, which is a prerequisite for achieving certain successes or certain achievements in a certain activity. Thanks to such unique features, the child differs from others in a certain way. Giftedness is some unique feature of children, which is determined by the neurophysiological features of the body's development.

The relevance of such topics is extremely important, because the scientific and technical development of modern society forces creative approaches in solving a number of problems. The presence of a perfect system for identifying and educating gifted and creative children is a necessary component of the successful activity of society. The purpose of the article is to clarify the necessary features and signs of giftedness in children with the aim of developing effective mechanisms for diagnosing giftedness in children of different age groups and methods of its development as an aspect of the neurophysiological approach to personality.

In the research process, the method of analysis of the available theoretical information of the selected area, synthesis of all existing points of view was used. The result is the determination of the characteristics of giftedness, taking into account its types, characteristics, and the creation of methods of dealing with gifted children and developing their abilities.

Author Biographies

Iryna Pidlypniak, Pavlo Tychyna Uman State Pedagogical University

Candidate of Pedagogical Sciences, Associate Professor, Senior Lecturer at the Department of Psychology and Pedagogy of Child Development

Oksana Marchuk, Academician Stepan Demianchuk International University of Economics and Humanities

Doctor of Science in Pedagogy, Associate Professor, Professor of the Department of General Pedagogy and Preschool Education

Victoriia Naichuk, H.S. Skovoroda Kharkiv National Pedagogical University

Doctoral Student of Psychology Department, Candidate of Psychological Sciences

Olena Tryfonova, V.O. Sukhomlynskyi Mykolaiv National University

Doctor of Science in Pedagogy, Full Professor, Professor of the Department of Primary and Pre-school  Education

Inokentii Korniienko, Mukachevo State University

Doctor of Science in Psychology, Full Professor, Professor of the Department of Psychology

Svitlana Mashchak, Lviv Polytechnic National University

Associate Professor of Psychology, Candidate of Psychological Science

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Published

2023-03-09

How to Cite

Pidlypniak, I., Marchuk, O., Naichuk, V., Tryfonova, O., Korniienko, I., & Mashchak, S. (2023). Detection of Intellectual Giftedness in Children of Different Ages and Methods of its Development as an Aspect of Neurophysiological Development. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 14(1), 252-268. https://doi.org/10.18662/brain/14.1/418

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