Digital Education Council: Global AI Meets Academia Faculty Survey 2025

Summary of Read Full Report

The Digital Education Council's 2025 Global AI Faculty Survey report analyzes faculty perspectives on AI integration in higher education. Key findings reveal widespread AI use, primarily for creating teaching materials, but also significant concerns about student AI evaluation skills and over-reliance.

Faculty desire stronger institutional support, clearer guidelines, and improved AI literacy resources. The report highlights a positive outlook on AI's potential, while acknowledging challenges regarding assessment methods, workload, and ethical considerations.

Here are some interesting takeaways from the Digital Education Council Global AI Faculty Survey 2025 that may not be mainstream:

• Faculty are using AI in teaching, but cautiously: While 61% of faculty have used AI in teaching, a large majority (88%) of those are using it minimally to moderately. This suggests that even among those who have adopted AI, there is a tendency to limit its integration into their teaching practices. This could be due to lack of clear guidelines and example use cases or deliberate choice by faculty.
• Faculty sentiment on AI is divided, with a notable neutral stance: While 57% of faculty hold a positive view of AI in education, a significant 30% remain neutral. This indicates a substantial proportion of educators are either uncertain or have mixed feelings about AI's impact. This neutrality is an important factor to consider when implementing AI strategies at educational institutions.
• Most faculty see AI as an opportunity, but a significant minority see it as a challenge: 65% of faculty view AI as an opportunity in education, while 35% see it as a challenge. This split in perception suggests that there are underlying concerns and that a significant portion of educators may need more support in understanding AI's benefits and how to address potential downsides.
• Faculty anticipate significant changes to their roles, but are unclear on the specifics: The majority of faculty (64%) believe that AI will bring significant to transformative changes to their roles as instructors. However, a considerable portion (16%) are not fully aware of the possible changes, which suggests a need for institutions to rectify this information gap through AI literacy and skills training.
• Most faculty are at early stages of AI proficiency: A large percentage of faculty (40%) are at the beginning or have no understanding of AI literacy and skills. Only a small minority (4%) consider themselves experts. This highlights that considerable development of AI literacy and skills is required among the faculty.
• There is a high level of concern over students’ ability to evaluate AI: A significant majority of faculty (83%) are concerned about students’ ability to critically evaluate AI-generated output. This is a key area of concern for faculty, and it is connected to their view of the most important skills that educators need in the age of AI, which is facilitating critical thinking.
• Faculty worry about student over-reliance on AI: A large majority (82%) of faculty are concerned about students becoming overly dependent on AI tools. This shows that faculty are not only worried about the quality of the work of students using AI, but also how that work may affect students' learning and their capacity for independent thinking.
• Most faculty don't find institutional AI guidelines comprehensive or clear: A large majority of faculty (80%) do not find their institutional AI guidelines for teaching to be comprehensive, and 80% also feel there is a lack of clarity on how AI can be applied in teaching. This demonstrates a significant gap between institutional guidance and faculty needs and perceptions.
• There is significant dissatisfaction with AI literacy resources: A large percentage (78%) of faculty do not believe that their institutions have provided sufficient resources to develop faculty AI literacy. This indicates a critical need for institutions to invest in adequate training and resources to help faculty adapt to the changing educational landscape.
• Faculty are keen to explore AI but cautious about its use in grading: Faculty are mostly happy to explore AI in course design, creating assignments, and developing teaching materials, but they are more cautious about using it for grading and providing feedback to students.

These insights suggest that while faculty are engaging with AI, there are still many challenges and concerns that institutions need to address to facilitate effective and ethical AI integration in higher education.

This survey complements the DEC's 2024 Global AI Student Survey to provide a holistic understanding of AI's impact on higher education.