Machine Learning in Educational Sciences

Approaches, Applications and Advances
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Éditeur :

Springer

Paru le : 2024-02-24

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...
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Éditeur

Collection
n.c

Parution
2024-02-24

Pages
384 pages

EAN papier
9789819993789

Auteur(s) du livre


Myint Swe Khine currently teaches at the School of Education, Curtin University, Australia. He has more than 30 years of experience in teacher education. He received Master's degrees from the University of Southern California, USA, University of Surrey, UK, and the University of Leicester, UK, and a Doctoral degree from Curtin University, Australia. He worked at the National Institute of Education, Nanyang Technological University, Singapore, and was a Professor at Emirates College for Advanced Education in the United Arab Emirates. He has wide-ranging research interests in teacher education, science education, learning sciences, psychometrics, measurement, assessment, and evaluation. He is a member of the Editorial Advisory Board of several international academic journals. Throughout his career, he has published over 40 edited books. The most recent volumes include Methodology for Multilevel Modelling in Education Research: Concepts and Applications (Springer, 2022), and Rhizomatic Metaphor: Legacy of Deleuze and Guattari in Education and Learning (Springer, 2023).

Caractéristiques détaillées - droits

EAN PDF
9789819993796
Prix
158,24 €
Nombre pages copiables
3
Nombre pages imprimables
38
Taille du fichier
10127 Ko
EAN EPUB
9789819993796
Prix
158,24 €
Nombre pages copiables
3
Nombre pages imprimables
38
Taille du fichier
24924 Ko

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