The Future of Teaching Translation offers a critically informed examination of translation education at a decisive turning point in its history. Drawing on pedagogical traditions, curricular models, and emerging technologies, it interrogates what must change to prepare translators for an AI-driven professional landscape. The book advances a coherent framework for rethinking translator competence, redesigning curricula, and reforming assessment practices in light of machine translation and large language models. It further addresses the ethical, professional, and identity dimensions that accompany the integration of artificial intelligence into the translation classroom. Written for educators, researchers, and graduate students, this volume constitutes a timely contribution to the fields of translation didactics and applied translation studies
1. A Brief History of Translation Pedagogy
2. The Current Landscape
3. The Technological Revolution
4. Rethinking Competence
5. Redesigning the Curriculum
6. Pedagogy in Practice
7. Assessment in the AI Era
8. Ethics, Agency, and the Human Dimension
9. The Translator Educator
10. Looking Ahead