Deep Learning and Subject Teaching (Paperback)
Language: English
Published by Taylor & Francis Ltd, London, 2026
- Softcover
- New
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
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Add to basketItem description from seller
Paperback. Educators, and policymakers around the world are increasingly keen that students of all levels (school and university alike) develop 'deep learning. But, what counts as deep learning and what does it look like in different disciplines?This book examines the issue of students developing deep learning in different disciplines including mathematics, science, English, geography, history, religious education, and foreign languages. Each chapter of this essential resource focuses on a particular discipline, clearly articulate its own perspective on deep learning, and discuss a concept or approach that is considered important for deep learning in the particular discipline but whose place in typical teaching practice and/or policy debate tends not to reflect that importance.A commentary chapter draws out and highlights unifying cross-disciplinary aspects of deep learning making this a must read for all researchers, teacher educators and policy makers interested in deep learning across the disciplines. Educators, and policymakers around the world are increasingly keen that students of all levels (school and university alike) develop 'deep learning. But, what counts as deep learning and what does it look like in different disciplines? This book examines the issue of students developing deep learning in different disciplines. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9781032954592
- Title
- Deep Learning and Subject Teaching (Paperback)
- Author
- Gabriel J. Stylianides
- Publisher
- Taylor & Francis Ltd, London
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1032954590
- ISBN 13
- 9781032954592
Educators, and policymakers around the world are increasingly keen that students of all levels (school and university alike) develop 'deep learning’. But, what counts as deep learning and what does it look like in different disciplines?
This book examines the issue of students developing ‘deep learning’ in different disciplines including mathematics, science, English, geography, history, religious education, and foreign languages. Each chapter of this essential resource focuses on a particular discipline, clearly articulate its own perspective on deep learning, and discuss a concept or approach that is considered important for deep learning in the particular discipline but whose place in typical teaching practice and/or policy debate tends not to reflect that importance.
A commentary chapter draws out and highlights unifying cross-disciplinary aspects of deep learning making this a must read for all researchers, teacher educators and policy makers interested in deep learning across the disciplines.
"Synopsis" may belong to another edition of this title.
About the Author
Gabriel J. Stylianides is a professor of mathematics education at the Department of Education and fellow of Worcester College, University of Oxford, UK.
Sibel Erduran is a professor of science education at the Department of Education and fellow of St Cross College, University of Oxford. She is also a Vistiing Professor at the Department of Curriculum and Instruction, Education University of Hong Kong, Hong Kong SAR, China.
"About the title" may belong to another edition of this title.
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