Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on real-world applications of machine learning in educationDiscusses the potential of machine learning for improving education and training processesPromotes ongoing research and the refinement of machine learning methodologies in t. N� de r�f. du vendeur 1252897014

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Machine Learning in Educational Sciences

Myint Swe Khine

Edit� par Springer Nature Singapore, Springer Nature Singapore Feb 2024, 2024

ISBN 10 : 9819993784 ISBN 13 : 9789819993789

Neuf Couverture rigide

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This comprehensive volume investigates the untapped potential of machine learning in educational settings. It examines the profound impact machine learning can have on reshaping educational research. Each chapter delves into specific applications and advancements, sheds light on theory-building, and multidisciplinary research, and identifies areas for further development. It encompasses various topics, such as machine-based learning in psychological assessment. It also highlights the power of machine learning in analyzing large-scale international assessment data and utilizing natural language processing for science education. With contributions from leading scholars in the field, this book provides a comprehensive, evidence-based framework for leveraging machine-learning approaches to enhance educational outcomes. The book offers valuable insights and recommendations that could help shape the future of educational sciences. 404 pp. Englisch. N� de r�f. du vendeur 9789819993789

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Machine Learning in Educational Sciences: Approaches, Applications and Advances

Edit� par Springer, 2024

ISBN 10 : 9819993784 ISBN 13 : 9789819993789

Neuf Couverture rigide

Vendeur : California Books, Miami, FL, Etats-Unis

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Etat : New. N� de r�f. du vendeur I-9789819993789

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Machine Learning in Educational Sciences : Approaches, Applications and Advances

Myint Swe Khine

Edit� par Springer Nature Singapore, Springer Nature Singapore, 2024

ISBN 10 : 9819993784 ISBN 13 : 9789819993789

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This comprehensive volume investigates the untapped potential of machine learning in educational settings. It examines the profound impact machine learning can have on reshaping educational research. Each chapter delves into specific applications and advancements, sheds light on theory-building, and multidisciplinary research, and identifies areas for further development. It encompasses various topics, such as machine-based learning in psychological assessment. It also highlights the power of machine learning in analyzing large-scale international assessment data and utilizing natural language processing for science education. With contributions from leading scholars in the field, this book provides a comprehensive, evidence-based framework for leveraging machine-learning approaches to enhance educational outcomes. The book offers valuable insights and recommendations that could help shape the future of educational sciences. N� de r�f. du vendeur 9789819993789

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Machine Learning in Educational Sciences (Hardcover)

Myint Swe Khine

Edit� par Springer Verlag, Singapore, Singapore, 2024

ISBN 10 : 9819993784 ISBN 13 : 9789819993789

Neuf Couverture rigide

Vendeur : CitiRetail, Stevenage, Royaume-Uni

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Hardcover. Etat : new. Hardcover. This comprehensive volume investigates the untapped potential of machine learning in educational settings. It examines the profound impact machine learning can have on reshaping educational research. Each chapter delves into specific applications and advancements, sheds light on theory-building, and multidisciplinary research, and identifies areas for further development. It encompasses various topics, such as machine-based learning in psychological assessment. It also highlights the power of machine learning in analyzing large-scale international assessment data and utilizing natural language processing for science education. With contributions from leading scholars in the field, this book provides a comprehensive, evidence-based framework for leveraging machine-learning approaches to enhance educational outcomes. The book offers valuable insights and recommendations that could help shape the future of educational sciences. This comprehensive volume investigates the untapped potential of machine learning in educational settings. It examines the profound impact machine learning can have on reshaping educational research. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9789819993789

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