Librería: Majestic Books, Hounslow, Reino Unido
EUR 139,72
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 168,91
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 158,66
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 164,16
Cantidad disponible: Más de 20 disponibles
Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 195,47
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 304 pages. 9.18x6.12x9.45 inches. In Stock.
Idioma: Inglés
Publicado por Taylor & Francis Ltd Jun 2026, 2026
ISBN 10: 1041151934 ISBN 13: 9781041151937
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 160,93
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: 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.