The State of AI in Higher Education: Adoption, Challenges, and Future Directions

Why Read This Research

Explore the landscape of AI adoption in higher education based on a comprehensive survey of institutions across the country. Gain insight into the current state of AI adoption, the goals and challenges associated with it, and the innovative ways institutions are leveraging AI to enhance their operations and student outcomes.

Features

• Area in Focus: Artificial Intelligence
• Future Campus Impacts: Outcomes, Recruit, Retain, Employ, Operations, Governance, Risk, Innovate
• Author: Alpha Hamadou Ibrahim, PhD, Vice President of Data, Analytics, and AI, Tambellini Group
• Research Availability: February 2025

Table of Contents

1. Introduction
2. AI in Higher Education
3. Survey Participants
4. Key Findings
5. Higher Education Embraces AI
6. Institutional AI Adoption Goals
7. Key Initiatives in Higher Education
8. AI Readiness
9. Challenges to AI Adoption
10. Disillusionment with AI
11. Generative AI in Admissions
12. AI in Teaching and Advising
13. AI Integration in Courses
14. AI-Generated Content in Courses
15. AI Adoption for Financial Challenges
16. Sentiment Toward Generative AI
17. Increased Investments in Data Privacy & Cybersecurity
18. Key Needs for Effective AI Adoption
19. Strategic Recommendations