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.
Authors
- Ajay Kumar (ORCID: https://orcid.org/0000-0002-8748-7717)
- Shashank Srivastava (ORCID: https://orcid.org/0000-0002-4148-895X)
Institutions
- Gautam Buddha University (IN)
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