A roadmap for successful AI adoption in Higher Education, from dxw:
Higher education institutions are actively experimenting with AI to improve operational efficiency, yet approaches vary significantly across the sector. Institutions face complex issues including output accuracy, data privacy, and academic integrity – with some organisations establishing centralized AI task forces while others maintain department-led initiatives that risk duplication and inconsistent policies.
Given this landscape, strategic engagement with AI requires drawing on experiences from across the sector and beyond. This is the first in a series of blog posts discussing the different aspects of AI implementation. Here we present two complementary frameworks – EVR’s 4D strategy and dxw’s iterative approach to grounded experimentation – that together provide a comprehensive roadmap for successful AI implementation in higher education.
Useful for any sector.