AI ToolsThe Antifragile AI Adoption FrameworkA practical decision model for higher education leaders adopting AI to strengthen, not strain, their institutions. Inside the Framework: This concise guide outlines a practical, research-informed model for responsible AI adoption in higher education. You’ll learn how to: Identify key “pressure zones” such as grading overload, retention challenges, student support gaps, and faculty burnout Pilot AI in low-stakes, measurable environments where outcomes can be refined and scaled safely Distinguish between AI that replaces cognitive work and AI that amplifies human capacity Build institutional agility through small, data-driven experiments that inform long-term digital strategy Get the Framework Why Antifragility Matters in Higher Education Higher education faces more pressure than ever before: limited budgets, enrollment shifts, and rising expectations around digital fluency. Faculty are being asked to do more with less, while institutions are expected to innovate quickly and responsibly. An antifragile approach helps universities: Innovate responsibly without compromising academic integrity Improve efficiency and well-being without eroding trust Adapt to technological change without losing their human core Get the Framework "*" indicates required fields First Name*Last Name*Email* Your Role*Select OneFaculty (Higher Education)Administrator (Higher Education)Instructor (K-12)Administrator (K-12)OtherInstitution*EmailThis field is for validation purposes and should be left unchanged.
