Seventy-one percent of higher education administrators now use AI on a weekly basis, with 43% using it daily, according to the annual Time for Class 2026 report from D2L and Tyton Partners. The study, which surveyed administrators, instructors, and students, marks a shift from debating whether AI belongs in education to determining how to integrate it effectively into teaching, assessment, and career preparation.
AI usage spreads unevenly across campus roles
Weekly AI use among students reached 61%, while 52% of instructors reported the same. Administrators led adoption, but the gap between policy and practice remains wide. Only 32% of institutions have implemented a central AI policy, and just 22% of faculty at those schools consider the policy effective. The data suggests that top-down rules alone are not keeping pace with how AI is actually being used in classrooms.
The report frames this moment as a tipping point. Institutions that treat AI as a teaching and learning strategy, rather than a compliance problem, are better positioned to improve engagement and workforce readiness. The findings align with broader trends in AI for Education, where integration-focused approaches are gaining traction over restriction-heavy models.
Assessment design splits faculty into two camps
Nearly half of faculty members are changing how they assess students because of AI. Twenty-four percent are redesigning assignments to incorporate AI tools, while 23% are reverting to in-class, proctored formats like blue book exams. The report labels these groups "integrators" and "defenders," and the outcomes differ sharply.
Faculty who redesign assessments around AI report fewer problems with cheating (54% versus 66%) and student attendance (43% versus 55%) than those who return to proctored formats. Yet the overall perception of cheating as a top challenge rose from 36% to 55% since 2024, signaling that anxiety about academic integrity is growing even as some instructors find effective workarounds.
Career readiness gaps persist
While 67% of faculty members say AI literacy is essential for students' future careers, only 12% of institutions have scaled career-connected learning across all departments. There is also a disconnect between what faculty say they offer and what students experience: 61% of faculty report embedding real-world projects into coursework, but just 26% of students say they have encountered one.
"Students are using AI, and increasingly, they see it as part of the future they are preparing for," said Dr. Cristi Ford, chief learning officer at D2L. "Administrators and instructors are coming to the same realization: AI cannot sit outside the learning experience anymore." With 40% of students ranking workload anxiety as their top classroom challenge, the pressure to make learning more relevant and less punitive is mounting. For instructors seeking to build these skills, resources like an AI Learning Path for Teachers are increasingly relevant.
Why this matters for education professionals
The report makes clear that faculty who actively integrate AI into assessment design see better classroom dynamics than those who try to wall it off. For instructors, instructional designers, and academic leaders, the practical takeaway is that building AI literacy and redesigning assignments around authentic, AI-inclusive tasks can reduce cheating concerns and better prepare students for the workforce. The institutions leading the next phase will be those that treat AI as a core teaching strategy, not a security perimeter to defend.
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