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Introducing machinelearning to analyzefactors aimed atsuccessfuldevelopment of theindividual socialqualities Panfilova TatyanaTynchenko VadimNelyub Vladimir2024 год

Introducing machine learning to analyze factors aimed at successful development of the individual social qualities : научное издание
статья из журнала

Дополнительные ссылки: eLibrary
База данных: Каталог библиотеки СФУ
Библиографическое описание: Introducing machine learning to analyze factors aimed at successful development of the individual social qualities : научное издание / T. T. Panfilova [и др.]. - Текст : непосредственный // Journal of Infrastructure, Policy and Development. - 2024. - Т. 8, № 8. - С. 4165. - ISSN 2572-7923. - ISSN 2572-7931, DOI 10.24294/jipd.v8i8.4165.
Аннотация: <jats:p>The paper considers an important problem of the successful development of social qualities in an individual using machine learning methods. Social qualities play an important role in forming personal and professional lives, and their development is becoming relevant in modern society. The paper presents an overview of modern research in social psychology and machine learning; besides, it describes the data analysis method to identify factors influencing success in the development of social qualities. By analyzing large amounts of data collected from various sources, the authors of the paper use machine learning algorithms, such as Kohonen maps, decision tree and neural networks, to identify relationships between different variables, including education, environment, personal characteristics, and the development of social skills. Experiments were conducted to analyze the considered datasets, which included the introduction of methods to find dependencies between the input and output parameters. Machine learning introduction to find factors influencing the development of individual social qualities has varying dependence accuracy. The study results could be useful for both practical purposes and further scientific research in social psychology and machine learning. The paper represents an important contribution to understanding the factors that contribute to the successful development of individual social skills and could be useful in the development of programs and interventions in this area. The main objective of the research was to study the functionalities of the machine learning algorithms and various models to predict the students’s success in learning.</jats:p>
Год издания: 2024
Авторы: Panfilova Tatyana, Tynchenko Vadim, Nelyub Vladimir, Glinscaya Anna, Borodulin Alexey, Gantimurov Andrei, Tynchenko Yadviga
Издательство: EnPress Publisher, LLC
Источник: Journal of Infrastructure, Policy and Development
Выпуск: Т. 8, № 8
Номера страниц: 4165
Количество экземпляров:
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