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The book begins with fundamental concepts, tracing AI's evolution and integrating it into educational platforms. Subsequent chapters delve into personalized learning, VR/AR applications, and AI-powered assessment. It examines how VR can create immersive learning environments and how AI automates assessment, providing personalized feedback.
“AI Future” uniquely presents an analysis framework for evaluating AI tools based on accessibility, scalability, and adaptability. Ethical considerations, such as data privacy and algorithmic bias, are also addressed. The book concludes with recommendations for educators and policymakers on harnessing AI for a more equitable education system, supported by case studies and research. This comprehensive approach makes it valuable for understanding and implementing AI in educational settings.
