Artificial Intelligence, Big Data, and Information System User Experience: A Comprehensive Approach to Cross-cultural Adaptation in Educational Management of International Students

Abstract

This study analyses how AI integration, Big Data, information system quality, and cultural variables affect foreign student education and cross-cultural adaption. We discover patterns and connections in technological and cultural aspects affecting educational effectiveness using Explainable AI (XAI) and machine learning. The study found that big data, AI integration, and high-quality information systems increase international student user experience. Collectivism may prefer collaboration, whereas individualism may prefer tailored AI learning. Moderation shows that student culture strongly impacts technological interventions, highlighting the need for culturally suitable instructional technology. AI integration, big data use, and high-quality information systems boost user experience and academic performance more in China than in Pakistan. To help international students succeed, schools must use technology and culturally sensitive management. Schools must use technology with student culture in mind. Create technologically advanced and culturally flexible educational management solutions for all pupils. This study found that AI integration, big data, information system quality, and culture affect international students' education and performance. The research helps schools choose and manage technology to help foreign students succeed.