Deep Learning and Subject Teaching

Approaches to Disciplinary Literacy
1. Auflage 2026
ISBN: 978-1-032-95460-8
Verlag: Taylor & Francis Ltd

Buch, Englisch, 264 Seiten, Format (B × H): 156 mm x 234 mm

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.

Zielgruppe

Academic, Postgraduate, Professional Practice & Development, and Professional Training

Autoren/Hrsg.

Stylianides, Gabriel J.

Erduran, Sibel

Fachgebiete

• Sozialwissenschaften Pädagogik Pädagogik

Inhaltsverzeichnis

1. Deep Learning Across the Disciplines: An Introduction 2. Deep Learning in English: Literary Theory as a Social-Cultural Approach 3. Deep Learning in Geography: A Critical Analysis of School Geography Visual Teaching Resources About Climate Change 4. Deep Learning in History: The Role of Historical Consciousness in Curriculum Debate and History Teachers’ Published Discourse 5. A Discursive Approach to Deep Learning: Talk in Mathematics Classrooms 6. Promoting Deep Learning in Mathematics: Opportunities for Pre-Service Teachers to Identify and Re-Imagine Their Beliefs. 7.Deep Learning in Modern Languages 8. The Role of the Curriculum and Professional Development in Fostering Deep Learning in Science 9. Deep Learning in Religious Education 10. Threshold Concepts as a Vehicle to Deep Learning in the Discipline of (Teacher) Education 11. Fostering Deep Learning in Teacher Development: Leveraging AI and Interactive Technologies 12. Deep Learning in the Disciplines: Convergences and Divergences

Über Autor(innen)

Gabriel J. Stylianides is a Professor of Mathematics Education and Fellow of Worcester College at the University of Oxford, UK.

Sibel Erduran is a Professor of Science and Fellow of St Cross College at the University of Oxford, UK.