THE ROLE OF .NET CORE MACHINE LEARNING AND AI IN EDUCATION: PERSONALIZED LEARNING

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 enhancedJagdip Keshavlal Jadav https://iaeme.

Authors

Institutions

Publication Details

Journal
INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY
Published
2024-12-24
DOI
https://doi.org/10.34218/ijrcait_07_02_193
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE ROLE OF .NET CORE MACHINE LEARNING AND AI IN EDUCATION: PERSONALIZED LEARNING

Jagdip Keshavlal Jadav
INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY
Online Learning and Analytics
article

THE ROLE OF .NET CORE MACHINE LEARNING AND AI IN EDUCATION: PERSONALIZED LEARNING

Jagdip Keshavlal Jadav
article en

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 enhancedJagdip Keshavlal Jadav https://iaeme.

INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGYVol. 7(2)
Cognia (United States) (US)
Quality Education
Openalex Percentile: Top 74%
Online Learning and Analytics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.