Algorithmic Pedagogy and Pedagogical Sovereignty in AI-Mediated Teaching in Transnational Education

This chapter interrogates how artificial intelligence reshapes transnational education by reconfiguring pedagogy, faculty development, and governance across borders. It synthesizes learning sciences, intercultural theory, and critical algorithm studies to construct a multilevel framework that links macro policy, meso institutional design, and micro classroom practice. The analysis profiles adaptive tutoring, analytics, translation, and simulation while diagnosing risks of surveillance, bias, context collapse, and epistemic homogenization. It advances a program for AI literate faculty built on technical, critical, and pedagogical fluencies, and specifies equity strategies for disability, gender, language, and LGBTQ inclusion. The chapter proposes actionable mechanisms including participatory procurement, model transparency, low bandwidth pathways, human in the loop assessment, and cross-national accreditation for microcredentials. It concludes by reframing AI as public infrastructure governed by ethical reflexivity, contestability, and cultural responsiveness.