AI, AUTOMATION AND THE FUTURE OF TEACHING: REDEFINING THE TEACHER’S ROLE

Abstract

This chapter explores how artificial intelligence (AI) and automation are transforming the teaching profession by shifting the central role of educators. Drawing on research in learning sciences, educational psychology and AI in education, the chapter demonstrates that AI effectively supports tasks such as grading, lesson generation and adaptive instruction, enabling scalable personalization and reducing administrative burden. However, empirical studies emphasize that core professional functions such as interpretation of learning data, cultivation of student relationships, ethical decision-making and the design of rich learning experiences remain inherently human and resistant to automation. The chapter argues that teachers must increasingly act as learning architects, data-literate professionals, and ethical guides who help students navigate AI-rich environments. It also examines key challenges, including algorithmic bias, privacy risks, and equity concerns. Ultimately, the chapter proposes a human–AI collaboration model that augments teacher expertise, positioning educators as indispensable leaders in shaping future learning ecosystems.