Bridging Cultures and Code

This chapter explores the integration of artificial-intelligence-assisted learning within transnational computer science education through the AI-Mediated Transnational Learning Model (AIM-TLM). Drawing on constructivism, socio-cultural learning theory, the Community of Inquiry framework, and Universal Design for Learning, the study examines how ethically guided AI use enhances equity, reflection, and engagement across bilingual cohorts. Using mixed-methods data from Object-Oriented Development and Advanced Information Systems Development modules delivered between the University of the West of England and Neusoft College, results show that structured AI scaffolding improved consistency and inclusivity without inflating grades. The chapter proposes a five-pillar framework covering transparency, assessment design, AI literacy, cultural calibration, and institutional alignment, offering a scalable model for ethical, inclusive, and sustainable AI integration in global higher education contexts.