Year: 2024
Type: article
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
Author: Jagdip Keshavlal Jadav -
Institution: Cognia (United States)
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4405979841