Learning analytics shaping future (3 Ergebnisse)

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    • Sprache: Englisch

      Verlag: CRC Press, 2026

      1041151934 / 9781041151937

      • Hardcover

      Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books

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      Zustand: Neu

      EUR 165,77

      EUR 7,59 Versand 
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      Zustand: New.

    • Sprache: Englisch

      Verlag: CRC Pr I Llc, 2026

      1041151934 / 9781041151937

      • Hardcover

      Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books

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      Zustand: Neu

      EUR 232,10

      EUR 14,60 Versand 
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      Hardcover. Zustand: Brand New. 304 pages. 9.18x6.12x9.45 inches. In Stock.

    • Sprache: Englisch

      Verlag: Taylor & Francis Ltd (Sales) Jun 2026, 2026

      1041151934 / 9781041151937

      • Hardcover

      Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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      Zustand: Neu

      EUR 333,16

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      Buch. Zustand: Neu. Neuware - This book explores how data science, which involves preparing, analyzing, visualizing, and interpreting data, can revolutionize the field of education. The authors delve into how schools and universities can analyze data to improve teaching methods, enhance student learning, and design effective evaluations.Learning Analytics: Shaping the Future of Education with Data Science examines how machine learning algorithms can analyze individual student performance data to tailor personalized adaptive learning paths, ensuring the best educational experience. Through real-world examples, this book discusses how valuable insights and opportunities can be gained through the application of data science in educational environments. The authors discuss the application of natural language processing (NLP) to analyze educational content, providing insights into language usage, comprehension levels, and improving the effectiveness of instructional materials and examines computer vision in classroom dynamics to measure student engagement. The book also exposes the reader to the crucial role of cybersecurity in safeguarding sensitive student and institutional information, ensuring a secure learning environment, and protecting against cyber threats. It also addresses the ethical considerations and privacy concerns associated with collecting, analyzing, and making decisions from educational data. Finally, it emphasizes the importance of responsible practices to protect the rights and well-being of students and educators.The book is intended for engineers from computer science, government policymakers, institutions, and educational stakeholders. It shows how computer science, statistics, and data can personalize learning, improve educational tools, enhance classroom dynamics, secure academic records with blockchain, and ensure online safety.