Digital Education Council: Global AI Faculty Survey 2025

Digital Education Council: Global AI Faculty Survey 2025

Summary of Read" class="text-blue-600 hover:text-blue-800" target="_blank" rel="noopener noreferrer">https://www.digitaleducationcouncil.com/post/digital-education-council-global-ai-faculty-survey'>Read Full Report

The Digital Education Council's Global AI Faculty Survey 2025 explores faculty perspectives on AI in higher education. The survey, gathering insights from 1,681 faculty members across 28 countries, investigates AI usage, its impact on teaching and learning, and institutional support for AI integration.

Key findings reveal that a majority of faculty have used AI in teaching, mainly for creating materials, but many have concerns about student over-reliance and evaluation skills. Furthermore, faculty express a need for clearer guidelines, improved AI literacy resources, and training from their institutions.

The report also highlights the need for redesigning student assessments to address AI's impact. The survey data is intended to inform higher education leaders in their AI integration efforts and complements the DEC's Global AI Student Survey.

Here are the five most important takeaways:

• Faculty have largely adopted AI in teaching, but use it sparingly. 61% of faculty report they have used AI in teaching. However, a significant majority of these faculty members indicate they use AI sparingly.
• Many faculty express concerns regarding students' AI literacy and potential over-reliance on AI. 83% of faculty are concerned about students' ability to critically evaluate AI output, and 82% worry that students may become too reliant on AI.
• Most faculty feel that institutions need to provide more AI guidance. 80% of faculty feel that their institution's AI guidelines are not comprehensive. A similar percentage of faculty feel there is a lack of clarity on how AI can be applied in teaching within their institutions.
• A significant number of faculty are calling for changes to student assessment methods. 54% of faculty believe that current student evaluation methods require significant changes. Half of faculty members believe that current assignments need to be redesigned to be more AI resistant.
• The majority of faculty are positive about using AI in teaching in the future. 86% of faculty see themselves using AI in their teaching practices in the future. Two-thirds of faculty agree that incorporating AI into teaching is necessary to prepare students for future job markets.