1st Edition
Deep Learning and Subject Teaching Approaches to Disciplinary Literacy
1. Deep Learning Across the Disciplines: An Introduction
Gabriel J. Stylianides and Sibel Erduran
2. Deep Learning in English: Literary Theory as a Social-Cultural Approach
Gary Snapper, Nicole Dingwall, Victoria Elliott, and Ian Thompson
3. Deep Learning in Geography: A Critical Analysis of School Geography Visual Teaching Resources About Climate Change
Emma Rawlings Smith and Steve Puttick
4. Deep Learning in History: The Role of Historical Consciousness in Curriculum Debate and History Teachers’ Published Discourse
Katharine Burn, James Caroll, Natasha Robinson, and Jason Todd
5. A Discursive Approach to Deep Learning: Talk in Mathematics Classrooms
Jenni Ingram and Richard Barwell
6. Promoting Deep Learning in Mathematics: Opportunities for Pre-Service Teachers to Identify and Re-Imagine Their Beliefs.
Karen Skilling
7.Deep Learning in Modern Languages
Robert Moore, Laura Molway, and Trevor Mutton
8. The Role of the Curriculum and Professional Development in Fostering Deep Learning in Science
Ann Childs, Sibel Erduran, Judith Hillier, and Liam Guilfoyle
9. Deep Learning in Religious Education
Nigel Fancourt and Jessica Chan
10. Threshold Concepts as a Vehicle to Deep Learning in the Discipline of (Teacher) Education
Jenny Anne Wynn, Liam Guilfoyle, and Matthew James Dunn
11. Fostering Deep Learning in Teacher Development: Leveraging AI and Interactive Technologies
Robert Klassen, Jeremy Knox, and Rebecca Snell
12. Deep Learning in the Disciplines: Convergences and Divergences
Susan R. Goldman
Biography
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.






