AI as a Co-Teacher

Abstract

This chapter critically examines AI co-teaching models that position artificial intelligence as a collaborative partner rather than a pedagogical replacement. It presents the Complementary Strengths Model and Teacher-in-the-Loop (TiTL) framework, highlighting role division between AI's analytical capabilities and teachers' emotional and instructional leadership. Implementation strategies across co-planning, co-instruction, and co-assessment are discussed using case studies and workflow models. Ethical issues such as bias, teacher autonomy, and trust via explainable AI (XAI) are addressed with practical guidance. The chapter also explores challenges like emotional AI's cultural risks and limited research from Global South contexts. Recommendations for educators, developers, and policymakers stress AI literacy, participatory co-design, and inclusive policy. It concludes by advocating interdisciplinary collaboration to create equitable, transparent, and culturally responsive AI-augmented education systems.

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