AI Literacy: University Students’ Perceptions and Practices

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Authors: Shawnee Younker Wakeman, Holly N. Johnson, Justin Cary, Camille Endacott, Carl D. Westine, Qiao Liu
Cited by: 1
References: 35

Abstract

Understanding student artificial intelligence (AI) literacy in the context of higher education is crucial as technology advances and AI use increases. The purpose of this study is to better understand how university students perceive, define, and apply AI literacy within their own educational experiences and from their own disciplinary lens. Collecting electronic survey responses from 130 graduate and undergraduate students across several disciplines including First-Year Writing, Communication Studies, and Education, this study attempts to elucidate how students articulate and perceive their own degree of AI literacy—Access, Understanding, Critical Thinking, Application, and Ethics—in the educational context. Overall, students reported infrequent use, using ChatGPT most often. Education students reported a lower understanding of AI than non-education students. Undergraduates reported higher rates within ethics than graduate students. No significant differences in AI literacy were found between students who were or were not first-generation students, students who did or did not receive financial aid, or by gender. Students reporting higher rates of use also reported higher rates of AI literacy. Crucially, this study provides key qualitative and quantitative insights exploring how students perceive their own AI literacy. Understanding the current state of students’ AI literacy is important to facilitating holistic student success in academic environments and career readiness as institutions of higher education adapt and prepare curricula, programs, and interventions addressing AI literacy across disciplines.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Ethics and Social Impacts of AI Online Learning and Analytics

Publication details

Journal / source
Trends in Higher Education
Publisher
MDPI AG
Volume
5
Issue
2
Pages
44–44
Publication date
19 May 2026
Language
EN