Abstract
AI plays a crucial role in making education more inclusive and accessible to students with diverse learning needs. Al tools can an access with its disabilities by providing adaptive technologies such as speech so-text, text-to-speech, and customized learning aids. For example, students with dyslexia may benefit from Al applications that convert written text into spoken words, while those with visual impairments can use Al-driven image recognition tools to access visual content. Additionally, AI can help identify learning difficulties early, allowing for timely interventions and support. Hence, this research article aims to investigate not only the benefits and risks emerging from the implementation of AI technologies in education but also the educational level at which AI instruments are mostly integrated into teaching and learning and the characteristics of AI-based models currently used. it includes explanations of AI concepts and provides historical context for today’s systems.
One of the most significant contributions of Al to education is its ability to facilitate personalized learning. Traditional education int hollows a one-size-fits-all approach, which can overlook the unique needs and learning styles of individual students. Al addresses this challenge by analysing data on student performance, learning habits, and preferences to tailor educational content and teaching methods. For example, Al-powered platforms can adjust lesson difficulty in real-time based on a student's progress, offer customized practice exercises, and provide targeted feedback.
One of the most significant contributions of Al to education is its ability to facilitate personalized learning. Traditional education int hollows a one-size-fits-all approach, which can overlook the unique needs and learning styles of individual students. Al addresses this challenge by analysing data on student performance, learning habits, and preferences to tailor educational content and teaching methods. For example, Al-powered platforms can adjust lesson difficulty in real-time based on a student's progress, offer customized practice exercises, and provide targeted feedback.
Keywords
Artificial IntelligenceEducation and Artificial Intelligence Literacy
Cite this article
Dr. Ramulu Sayanna (2026). A STUDY ON ARTIFICIAL INTELLIGENCE SUPPORTED CLASSROOM TEACHING ANALYSIS IN EDUCATION. International Innovations & Scholarly Trends Journal, 2(7), 207–217.
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