Analysis of How Artificial Intelligence Empowers the COIL Teaching Model to Promote Educational Internationalisation and Social Entrepreneurship Education

This study explores how incorporating generative artificial intelligence into the Collaborative Online International Learning (COIL) framework can enhance internationalisation for home and social entrepreneurship education in multilingual settings. A four-week AI-supported COIL programme was conducted with 30 postgraduate students from Russian and Spanish programmes. Students collaborated in intercultural teams to develop bilingual social innovation projects. Data were collected before and after the intervention using validated scales measuring intercultural competence, social entrepreneurship skills, AI literacy and ethics, and linguistic self-efficacy. Repeated-measures ANOVA indicated statistically significant improvements across all domains, with moderate-to-large effect sizes. The most pronounced gains were observed in mixed intercultural groups, which may suggest a potential synergistic effect between authentic intercultural exchanges and AI-mediated language support. Additionally, notable improvements were observed in ethical awareness of AI use and linguistic self-efficacy. Overall, these findings suggest that the AI-COIL model may represent a practical and potentially scalable approach for integrating language learning, intercultural competence, social innovation, and responsible AI use to advance internationalisation in higher education.