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A Machine-Generated Literature Overview
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As one of the experimental projects initiated by Springer Nature for AI book content generation, this book is the result of a collaboration between a human editor and an artificial intelligence algorithm to create a machine-generated literature overview of research articles analyzing the importance of reconfiguring, restructuring and re-evolving educational practices. Each chapter presents summaries of predefined themes and provides the reader with a basis for further exploration of the topic.
The pandemic has led academicians, researchers, teachers, students, parents, and even the government to penetrate and understand the challenges that it has brought and the importance of reconfiguring, restructuring and re-evolving educational practices. Insight into the involvement of computer application and information technology can be a harbinger of a new education era. This book precisely discusses these aspects and the future we are moving towards by inculcating technologicalchanges in the educational curriculum.
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Anamica Sinha is a Senior Editorial Advisor at Springer Nature, Pune, India. With a masters in English, professional certification courses in teaching English (PGCTE, ICTT - Pursuing), she handles research manuscripts related to teaching during the pandemic with the assistance of technology.
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