Strengthening Cultural Intelligence and International Student Engagement With AI

Artificial intelligence (AI) is rapidly reshaping teaching, learning, assessment, and student support in higher education, with technologies such as generative AI, adaptive learning systems, learning analytics, and intelligent tutoring now embedded across educational ecosystems. However, much of the AI-in-education literature remains grounded in culturally neutral assumptions, often overlooking the linguistic, cultural, and epistemic diversity of international student populations. As some of the most digitally mediated learners globally, these students navigate AI-enhanced environments in ways that are deeply shaped by context. Addressing this gap is essential to ensuring that AI-driven education systems are inclusive, equitable, and responsive to diverse learning experiences. Strengthening Cultural Intelligence and International Student Engagement With AI positions cultural intelligence as a critical design, pedagogical, and ethical capability for AI-enabled education. This book brings together scholars, learning scientists, educational technologists, and higher education researchers to examine how AI systems can be designed, implemented, and governed in ways that meaningfully enhance international student engagement, equity, and learning outcomes. Covering topics such as the politics of language in global classrooms, intelligent tutoring systems, and academic integrity, this book is a fundamental academic resource for graduate and doctoral students, educational administrators, educational data scientists, EdTech developers, instructional designers, policymakers, and more.