Implementation of machine learning and neural networks for student group management to enhance human capital management
Автор: Yelmar O.
Журнал: Международный журнал гуманитарных и естественных наук @intjournal
Рубрика: Экономические науки
Статья в выпуске: 6-3 (93), 2024 года.
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The article addresses the implementation of machine learning and neural networks in the management of student groups at Turan University. The study outlines a comprehensive algorithm using the "Orange" software for hierarchical clustering of students based on their transcript grades. The findings reveal the formation of five distinct student groups, facilitating more efficient management and interaction by advisors. The financial evaluation highlights the estimated costs for data analysts, developers, infrastructure, and support. The expected outcomes include improved learning efficiency, enhanced academic performance, optimized resource allocation, and increased satisfaction among students and faculty. The study concludes that integrating advanced technological solutions can significantly enhance human capital management in higher education.
Machine learning, neural networks, student group management, human capital, hierarchical clustering, educational technology, "orange" software, transcript analysis, adaptive learning, resource optimization
Короткий адрес: https://sciup.org/170205467
IDR: 170205467 | DOI: 10.24412/2500-1000-2024-6-3-32-35
Список литературы Implementation of machine learning and neural networks for student group management to enhance human capital management
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