ROLE OF GENERATIVE AI TOWARDS EDUCATION AND LEARNING: PRESENT & FUTURE
Keywords:
Generative AI, Education, Learning, Artificial Intelligence, Personalized Learning, Intelligent Tutoring Systems, Academic Integrity, Ethical AI, Pedagogical Models, Future of Education.Abstract
This research paper provides a comprehensive analysis of the role of Generative Artificial Intelligence (GenAI) in education and learning, examining its present applications, theoretical underpinnings, inherent challenges, and future trajectories. With the comprehensive review of recent research work in said domain all over the world, It delves into the integration of GenAI with established learning theories and emerging pedagogical models, highlighting its potential for personalized learning, automated content generation, and intelligent tutoring. Concurrently, the paper critically addresses significant challenges such as academic integrity, data privacy, algorithmic bias, and the impact on human cognitive skills and interaction. Finally, it forecasts the evolving roles of educators and students, discusses future pedagogical shifts, and outlines essential policy and governance considerations to foster an equitable, ethical, and effective AI-driven educational landscape.
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