Springer Nature

Digital Transformation In Interdisciplinary Sciences

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This proceedings volume discusses the transformative impact of AI, digital transformation, and data science across education, literature, linguistics, and interdisciplinary sciences. It delves into how AI-driven personalized learning, immersive virtual and augmented reality, and adaptive systems are reshaping education by fostering inclusivity, creativity, and innovative teaching methods. In literature and linguistics, the book highlights AI-assisted literary analysis, machine translation, and digital preservation, offering new perspectives on language patterns and storytelling. It also examines how AI is enhancing interdisciplinary research, promoting cross-disciplinary collaboration, and enabling data-driven insights in social sciences and the digital humanities. With a focus on ethical considerations and the integration of technology into diverse fields, this insightful collection is ideal for academics, professionals, and policymakers, bridging AI-driven innovation and practice to offer a holistic view of how technology is reshaping society across multiple domains.

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