The advancement of AI transforms how individuals approach learning, giving rise to a new model of independence supported by intelligent tools. AI agents can personalize instruction, provide real-time feedback, and adapt to learners' needs, enabling more self-directed and flexible educational experiences. As traditional instruction changes, AI-driven systems reshape the role of guidance, motivation, and assessment. Understanding this shift is essential for evaluating both the opportunities and challenges of independent learning in a digital world. Redefining Independent Learning With AI Agents investigates how AI agents redefine education and independent learning by offering targeted, adaptive, and scalable solutions. It explores how AI-powered tools can raise participation, enhance accessibility, and promote lifelong learning. This book covers topics such as adaptive learning, digital technology, and education assessment, and is a useful resource for engineers, educators, academicians, researchers, and scientists.
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