Have a personal or library account? Click to login
Student Use of Generative AI in Higher Education: Patterns, Gaps, and Institutional Readiness Cover

Student Use of Generative AI in Higher Education: Patterns, Gaps, and Institutional Readiness

By: Matthew Metzgar  
Open Access
|Feb 2026

Abstract

Introduction: This study examines how widely students are using generative AI tools in higher education and whether they feel prepared and supported by their institutions in doing so.

Methods: This study used descriptive analysis of survey responses from 3,839 students across 16 countries to examine AI use, preparedness, and institutional support.

Results: Most students (86%) reported using AI, yet few felt prepared (23%) and many cited inadequate institutional guidance.

Discussion: Findings reveal a clear gap between students’ rapid adoption of AI tools and limited institutional readiness to support them.

Limitations: The study relies on voluntary, self-reported, cross-sectional data that may involve selection bias and cannot establish causality.

Conclusions: Results highlight the need for stronger AI literacy, updated assessments, and clearer institutional guidance for responsible AI use in higher education.

Language: English
Page range: 41 - 52
Submitted on: Jun 20, 2025
|
Accepted on: Dec 5, 2025
|
Published on: Feb 18, 2026
Published by: DTI University
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year

© 2026 Matthew Metzgar, published by DTI University
This work is licensed under the Creative Commons Attribution 4.0 License.