A survey of American public health faculty AI competency & readiness

Introduction: Growing interest in Artificial Intelligence (AI) in higher education demands a deeper understanding of its integration across academic disciplines, particularly public health (PH). Objectives: This study developed and administered a cross-sectional online survey assessing AI competency, beliefs, and perceptions among U.S. PH faculty, with the goal of clarifying readiness for AI implementation. Methods: The survey was designed using the Qualtrics Platform, incorporating multiple-choice, Likert-type, and free-response items drawn from existing literature on AI in education. Participants included 411 faculty from U.S. schools or programs of public health accredited by the Council on Education for Public Health (CEPH). Results: Findings indicated that tools such as ChatGPT are primarily used for supportive teaching and research tasks. AI competency domains — particularly coding and data management skills — meaningfully shaped faculty beliefs and perceptions. While faculty were broadly supportive of AI and viewed it as useful and necessary, response patterns revealed a more nuanced relationship between technical expertise and AI attitudes. Conclusion: PH faculty beliefs and perceptions appear influenced by their AI competency and technical skills. Institutions should evaluate and strengthen faculty AI competency through tailored professional development to improve AI readiness in PH higher education.

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Publication Details

Journal
Cogent Education
Published
2026-04-24
DOI
https://doi.org/10.1080/2331186x.2026.2654902
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

A survey of American public health faculty AI competency & readiness

Gianluca De Leo, Vahé Heboyan, Huang Huang, Emily Lord et al.
Cogent Education
Artificial Intelligence in Healthcare and Education
article

A survey of American public health faculty AI competency & readiness

Gianluca De Leo, Vahé Heboyan, Huang Huang, Emily Lord, Dustin Tracy
article en

Abstract

Introduction: Growing interest in Artificial Intelligence (AI) in higher education demands a deeper understanding of its integration across academic disciplines, particularly public health (PH). Objectives: This study developed and administered a cross-sectional online survey assessing AI competency, beliefs, and perceptions among U.S. PH faculty, with the goal of clarifying readiness for AI implementation. Methods: The survey was designed using the Qualtrics Platform, incorporating multiple-choice, Likert-type, and free-response items drawn from existing literature on AI in education. Participants included 411 faculty from U.S. schools or programs of public health accredited by the Council on Education for Public Health (CEPH). Results: Findings indicated that tools such as ChatGPT are primarily used for supportive teaching and research tasks. AI competency domains — particularly coding and data management skills — meaningfully shaped faculty beliefs and perceptions. While faculty were broadly supportive of AI and viewed it as useful and necessary, response patterns revealed a more nuanced relationship between technical expertise and AI attitudes. Conclusion: PH faculty beliefs and perceptions appear influenced by their AI competency and technical skills. Institutions should evaluate and strengthen faculty AI competency through tailored professional development to improve AI readiness in PH higher education.

Cogent EducationVol. 13(1)
Augusta University (US), Augusta University Health (US)
Openalex Percentile: Top 16%
Artificial Intelligence in Healthcare and Education
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