2025 EDUCAUSE AI Landscape Study: Into the Digital AI Divide

Methodology and Acknowledgments

Methodology

The 2025 EDUCAUSE AI Landscape study survey comprised 52 closed- and open-ended questions. (The full survey instrument is available online.) Respondents may have been asked fewer questions depending on survey branching. The survey was distributed via EDUCAUSE marketing emails on November 4, 2024, and remained open until November 19, 2024, resulting in 788 responses meeting the following inclusion criterion:

  1. Respondent currently (at the time of survey taking) works at a higher education institution.
  2. Respondent answers the following questions:
    1. Which of the following best describes your primary position/role at your institution?
    2. Which of the following best describes your primary area of responsibility at your institution?
    3. How many years have you been in your current role?
    4. How would you characterize your institutional leaders' general attitude toward AI?
    5. How would you characterize your institution's approach to AI-related strategy?
    6. How, if at all, have policies and guidelines at your institution been impacted by AI?

Data from closed-ended survey items were analyzed with IBM SPSS Statistics, and open-ended survey data were manually coded. Quantitative data presented in this report were rounded to the nearest whole number. Open-ended respondent quotes presented in this report were lightly edited for readability.

This research is limited by standard survey limitations such as constrained sample frame and response biases.

Acknowledgments

EDUCAUSE Research and Insights is sincerely grateful to every individual who took the time to answer these survey questions. Without your contributions, this work would not be possible. We also thank the entire EDUCAUSE team for supporting this work, including but not limited to data analysis, data visualization, marketing, project management, and editing.