Експериментальний підхід до створення умовного ноосферного інтелекту за допомогою геоінформаційного моделювання

The aim of this study is to test a model for the formation of conditional noospheric intelligence (CNI) based on data from academic staff of higher education institutions in Ukraine, using methods of mathematical and geoinformation modeling. CNI is considered a complex structure that includes administrative intelligence, integrated intelligence, and the qualification potential of natural intelligence carriers. The study demonstrates that the qualification potential of academic staff is the foundation for the formation of CNI. The proposed methods and analytical schemes contribute to improving the rating evaluation system of academic staff in universities and to the creation of a prospective cadastral system of intellectual resources.  

Publication Details

Journal
The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Published
2025-10-15
Primary Topic
Scientific Research Methodologies and Applications
Type
article
Field-Weighted Citation Impact
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article

Експериментальний підхід до створення умовного ноосферного інтелекту за допомогою геоінформаційного моделювання

The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Scientific Research Methodologies and Applications
article

Експериментальний підхід до створення умовного ноосферного інтелекту за допомогою геоінформаційного моделювання

article en

Abstract

The aim of this study is to test a model for the formation of conditional noospheric intelligence (CNI) based on data from academic staff of higher education institutions in Ukraine, using methods of mathematical and geoinformation modeling. CNI is considered a complex structure that includes administrative intelligence, integrated intelligence, and the qualification potential of natural intelligence carriers. The study demonstrates that the qualification potential of academic staff is the foundation for the formation of CNI. The proposed methods and analytical schemes contribute to improving the rating evaluation system of academic staff in universities and to the creation of a prospective cadastral system of intellectual resources.  

The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy
Openalex Percentile: Top 40%
Scientific Research Methodologies and Applications
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