International Journal of Science, Engineering and TechnologyAuthors: Swapnil Sambhaji Bhosale
Abstract: Artificial Intelligence (AI) has rapidly emerged as a transformative technology across various global sectors, with education being one of the most profoundly impacted areas. The integration of AI in education has significantly improved teaching methodologies, learning paradigms, assessment accuracy, and overall student engagement. AI-based tech-nologies, such as intelligent tutoring systems, personalized learning platforms, automated grading systems, and educational chatbots, are fundamentally reshaping traditional edu-cation models. This comprehensive review paper examines the multifaceted role of Arti-ficial Intelligence in education by deeply exploring its practical applications, pedagogical benefits, operational challenges, and long-term future opportunities. The study highlights the shift from a conventional ‘one-size-fits-all’ pedagogical approach to an individualized, data-driven framework. Furthermore, the paper investigates emerging technological trends such as Generative AI, adaptive learning ecosystems, predictive analytics, and immersive virtual learning environments in the context of higher education. Despite the immense potential, the deployment of AI in education is not without hurdles. Critical challenges in-cluding data privacy, cybersecurity, algorithmic bias, ethical concerns, infrastructural and technological limitations, and the risk of over-dependency on technology by both educa-tors and learners are critically analyzed. The paper concludes that while AI possesses the unprecedented potential to revolutionize global education systems by creating more per-sonalized, efficient, equitable, and accessible learning environments, a balanced approach combining technological innovation with ethical foresight and human-centric pedagogy is essential for sustainable integration.
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