Téléchargez le livre : Machine Learning in Educational Sciences

Machine Learning in Educational Sciences

Approaches, Applications and Advances de

Éditeur :

Springer


Paru le : 2024-02-24

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Description

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. 
Pages
384 pages
Collection
n.c
Parution
2024-02-24
Marque
Springer
EAN papier
9789819993789
EAN PDF
9789819993796
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
38
Taille du fichier
10127 Ko
Prix
158,24 €
EAN EPUB
9789819993796
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
38
Taille du fichier
24924 Ko
Prix
158,24 €

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