The Analysis of AI Based Algorithms in Personalized and Adaptive E-learning Experiences

The integration of Artificial Intelligence (AI) into e-learning systems has heralded a new era of personalized and adaptive learning experiences. This comprehensive review delves into the latest advancements and implications of AI in e-learning. By harnessing machine learning algorithms, natural language processing techniques, and predictive analytics, AI-powered e- learning systems provide personalized content delivery, adaptive assessments, and intelligent tutoring capabilities. Additionally, this review examines how AI enhances learner engagement, improves learning outcomes, and tackles the challenges of scalability and accessibility in education. It also addresses ethical considerations, challenges, and future directions for AI-based e-learning, underscoring the transformative potential of AI in shaping the future of education.

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Publication Details

Published
2024-11-23
DOI
https://doi.org/10.1109/icicat62666.2024.10923335
Citations
2
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.82
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article

The Analysis of AI Based Algorithms in Personalized and Adaptive E-learning Experiences

Ajay Kumar, Shashank Srivastava
2 citations
Online Learning and Analytics
0.82
article

The Analysis of AI Based Algorithms in Personalized and Adaptive E-learning Experiences

Ajay Kumar, Shashank Srivastava
article en
2 citations

Abstract

The integration of Artificial Intelligence (AI) into e-learning systems has heralded a new era of personalized and adaptive learning experiences. This comprehensive review delves into the latest advancements and implications of AI in e-learning. By harnessing machine learning algorithms, natural language processing techniques, and predictive analytics, AI-powered e- learning systems provide personalized content delivery, adaptive assessments, and intelligent tutoring capabilities. Additionally, this review examines how AI enhances learner engagement, improves learning outcomes, and tackles the challenges of scalability and accessibility in education. It also addresses ethical considerations, challenges, and future directions for AI-based e-learning, underscoring the transformative potential of AI in shaping the future of education.

Gautam Buddha University (IN)
Openalex Percentile: Top 17%
Online Learning and Analytics
0.82
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The Analysis of AI Based Algorithms in Personalized and Adaptive E-learning Experiences — Ajay Kumar, Shashank Srivastava · (2024) | TGRS Research Map | TGRS