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Keywords

Big data in education, Educational data analytics, AI in education, Student performance prediction, Student attrition prediction, Learning analytics pipeline, Personalized learning technologies, Smart classroom IoT, Augmented reality in e-learning, EdTech innovations, Generative AI in education, Data privacy in education, Ethical AI in education, Gamification in learning, Digital learning platforms, Education data science, Predictive analytics for students, AI-driven teaching methods, Future of education technology, Educational research analytics.

Digitalizing Learning

Language: English | Imprint: NIPA

Hardback

ISBN: 9789372198249
Pages: 350 | Length: 152 mm | Breadth: 19.5 mm | Height: 229 mm | Weight: 900 GSM
Print Book Price: 120.00 USD (Get 10% OFF)
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EBook

EISBN: 9789372190526
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eChapter

eChapter details: Available in the Content section below.
<p style="text-align:justify"><em>Digitalizing Learning</em> explores the transformative role of big data, artificial intelligence, IoT, and emerging technologies in reshaping modern education. This comprehensive volume presents innovative teaching&ndash;learning strategies, data-driven decision-making frameworks, and real-world applications that enhance personalized learning and academic outcomes.</p> <p style="text-align:justify">Covering topics such as educational analytics, smart classrooms, augmented reality, generative AI, gamification, and ethical considerations, the book bridges theory with practice. Designed for educators, researchers, policymakers, and ed-tech professionals, it offers valuable insights into building efficient, inclusive, and future-ready education systems powered by data and intelligent technologies.</p>
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