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Blended Learning in the Age of Artificial Intelligence: Transforming Education Through Innovation
Abstract
Artificial Intelligence (AI) is revolutionizing the educational landscape by enabling personalized learning experiences, automating administrative tasks, and enhancing student engagement. Through adaptive learning systems, AI can tailor instruction to meet the needs of individual learners, offering real-time feedback and dynamic learning pathways. Predictive analytics further supports student success by identifying at-risk learners and allowing for timely interventions. Virtual tutors and AI-generated content are enhancing accessibility and engagement, making learning more interactive and scalable. However, the integration of AI in education raises important challenges, including concerns about data privacy, algorithmic bias, and the ethical implications of AI-driven decision-making. This paper examines the opportunities and risks associated with AI in education and explores how future policies can guide the ethical and equitable implementation of AI tools.
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