Leveraging .NET Core Machine Learning and AI to Enhance Education

Author(s)	Jagdip Keshavlal Jadav
Country	United States
Abstract	Integrating Machine Learning and Artificial Intelligence through .NET Core is revolutionizing the educational landscape by transforming traditional teaching and learning approaches. This comprehensive article explores how ML.NET, Microsoft's open-source machine learning framework, enables educational institutions to implement AI-driven solutions that enhance student engagement, reduce administrative workload, and improve learning outcomes. The article examines the framework's impact across various educational aspects, including personalized learning experiences, early identification of at-risk students, automated assessment systems, and real-time classroom analytics. It also addresses critical implementation considerations such as data privacy, system integration, and user training while highlighting future directions in educational technology through ML.NET applications
Keywords	Keywords: ML.NET Education Integration, Educational Technology Analytics, AI-Powered Learning Systems, Personalized Learning Automation, Educational Data Security
Field	Computer
Published In	Volume 6, Issue 6, November-December 2024
Published On	2024-12-27
DOI	https://doi.org/10.36948/ijfmr.2024.v06i06.33974
Short DOI	https://doi.org/g82gg9

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International Journal For Multidisciplinary Research