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AI-Powered Tutoring: Enhancing Student Support
Abstract
This chapter examines the transformative role of AI-powered tutoring systems in redefining student support through personalized, scalable, and adaptive learning experiences. The discussion highlights their capacity to identify knowledge gaps, foster self-paced learning, and enhance academic outcomes across diverse educational contexts. However, the chapter also critically addresses ethical challenges, including data privacy concerns, algorithmic bias, and the imperative of maintaining human oversight to preserve the relational aspects of education. Additionally, it explores issues of accessibility and equity, emphasizing the need to bridge technological divides that may exacerbate existing disparities. The chapter outlines future directions for responsible integration, advocating for collaborative frameworks among educators, policymakers, and technologists to ensure ethical deployment and equitable access. By balancing innovation with inclusivity, AI-powered tutoring systems hold promise for creating more adaptive, inclusive, and effective educational ecosystems.
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