Knowledge transfer to support advanced technology adoption in higher education

Rapid advances in artificial intelligence and cloud computing are reshaping higher education, yet structural differences between systems lead to uneven adoption. This paper reports a case study of a remote, cross-border knowledge-transfer programme designed to accelerate understanding and responsible practice. A UK university delivered a two-part webinar masterclass on Generative AI, Deep Learning and AI–cloud synergies to undergraduates, postgraduates and staff in an Indian institution, using low-barrier technologies. A mixed-methods pre/post design assessed changes in familiarity, confidence, concerns and intended practice. Pre-session surveys showed high familiarity with Generative AI (83%) but a marked confidence gap (only 9% ‘very confident’), alongside major concerns about critical-thinking erosion (70%) and plagiarism/academic integrity (39%). Post-session, participants judged the webinars effective, 90% felt more confident about using Generative AI responsibly, and 95% intended to change their study or professional practice; qualitative feedback indicated clearer understanding of AI–cloud infrastructures and career implications. The findings suggest that an accessible, scalable webinar model can support effective transfer of advanced technology knowledge across diverse educational cultures and help build capacity for responsible adoption in less digitally mature contexts.<br/><br/>