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Role of Ai in Modern Education System

Author : P. Sunitha Nandhini, P. Priyadharshini, R. Sujitha Journa Name: International Journal of Science, Engineering and Technology Volume: 14 issue: 1 Year: Volume-14-issue-1 Views : 238
Abstract:
Artificial Intelligence (AI) has emerged as one of the most powerful and transformative technologies of the 21st century, influencing almost every sector of human life, including healthcare, industry, communication, transportation, and education. Among these, the education sector is undergoing a significant transformation due to the integration of AI-based systems and digital technologies. Traditional education systems largely follow a standardized and uniform approach to teaching and learning, where all students are expected to learn the same content at the same pace using the same methods. However, learners differ in their abilities, interests, learning styles, background knowledge, and learning speed. This mismatch between traditional teaching methods and individual learning needs often leads to learning gaps, reduced motivation, poor academic performance, and lack of student engagement. In this context, Artificial Intelligence offers a powerful solution through the concept of personalized learning.AI-based personalized learning focuses on understanding each learner as a unique individual and designing learning experiences that match their specific needs. By using data-driven algorithms, machine learning models, and intelligent systems, AI can analyze large volumes of student data such as learning patterns, academic performance, behavioral responses, engagement levels, strengths, weaknesses, and preferences. Based on this analysis, AI systems can create customized learning paths for students, ensuring that each learner receives the right content, at the right level, and at the right time. This approach shifts education from a teacher-centered model to a learner-centered model, where students become active participants in their own learning process.Artificial Intelligence in education enables adaptive learning environments in which the difficulty level, learning speed, content format, and instructional strategies are automatically adjusted according to the learner’s progress. For example, students who learn faster can be provided with advanced materials and challenging tasks, while students who struggle with certain topics can receive additional explanations, practice exercises, and supportive learning resources. This ensures that no student is left behind and no learner is held back due to a rigid system. AI-powered platforms also provide instant feedback, helping students understand their mistakes and improve continuously, which strengthens learning outcomes and confidence.Another important contribu

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