Work place: Institute of Information Technology of the Ministry of Science and Education of Republic of Azerbaijan, Baku, AZ1141, Azerbaijan
E-mail: imarziya@gmail.com
Website:
Research Interests: Big Data, Machine Learning
Biography
Marziya I. Ismayilova is currently working as senior researcher of Information Technology of the Ministry of Science and Education of Republic of Azerbaijan. She has graduated from Applied Mathematics faculty of Baku State University. Her current research interests include Big Data Visualization, sentiment analysis and machine learning, mintellektual potential and machine learning. She has published more 35 research articles.
By Makrufa Sh. Hajirahimova Marziya I. Ismayilova
DOI: https://doi.org/10.5815/ijeme.2024.01.02, Pub. Date: 8 Feb. 2024
In the modern era, when globalization is widespread, the intellectual potential of the population has become one of the factors of socio-economic and innovative progress. The integration of Azerbaijan into the civilized world and the provision of socio-economic development in the country depend more on the development of science and education, the level of development of new scientific knowledge, techniques and technologies, etc. Today, the importance of the formation and capitalization of intellectual potential is assessed as a factor influencing competitiveness at various levels of the economy. At the modern stage of the development of the information-knowledge economy society, the assessment of intellectual potential plays an important role in increasing the efficiency of the national economy. In the article, the existing methodical approaches to the evaluation of the intellectual potential of higher education and scientific-research institutions are comparatively analyzed and summarized. Indicators that allow the assessment of intellectual potential in the field of education and science are presented in the form of a table. Based on these indicators, the assessment of intellectual potential was carried out for the first time with one of the approaches considered, and the results were presented. This will support making optimal decisions for the development of intellectual potential.
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