Year: 2025
Type: article
Abstract: Artificial Intelligence is fundamentally transforming educational environments through personalized learning experiences, adaptive assessment, and administrative automation. The integration of sophisticated AI technologies across educational contexts has demonstrated remarkable potential to address longstanding challenges in teaching and learning. Through continuous behavioral analysis, cognitive mapping, and dynamic curriculum generation, AI systems create individualized learning pathways that significantly enhance student engagement and achievement. The multi-layered technical frameworks of these systems—comprising input processing layers, inference engines, and content delivery mechanisms—enable precise identification of knowledge gaps and misconceptions, facilitating targeted interventions when they matter most. Meanwhile, predictive analytics provide early warning of academic difficulties, allowing for proactive support strategies that meaningfully improve retention and success rates. On the administrative front, automated assessment technologies and organizational process optimization liberate educator time while improving consistency and reducing costs. Together, these interconnected technologies are creating educational experiences that adapt to individual needs at scale, potentially democratizing access to high-quality learning opportunities and addressing persistent equity challenges in education. The systematic implementation of these AI systems represents a paradigm shift from standardized to personalized educational models that can transform outcomes across diverse learning contexts.
Author: Fnu Imran Ahamed
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4409862652