Year: 2024
Type: article
Abstract: This comprehensive article explores the transformative impact of .NET Core, Machine Learning (ML), and Artificial Intelligence (AI) in revolutionizing personalized learning within educational environments.The article examines various aspects of AIdriven educational technology, including content adaptation, data-driven insights for teachers, predictive modeling for early intervention, automated content recommendations, real-time assessment systems, gamification strategies, and support for diverse learners.Through extensive research across multiple educational institutions, the analysis demonstrates how ML.NET's capabilities have enhanced Jagdip Keshavlal Jadav
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: bronze
OpenAlex ID: W4405766099
