What question did this study set out to answer?

The study aims to examine how different stakeholders perceive artificial intelligence in education and identify training and policy gaps.

Artificial intelligence in higher education: stakeholder perceptions and policy implications

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Exploratory study examines stakeholder perceptions of AI in higher education, suggesting ethical policy improvements.

The study aims to examine how different stakeholders perceive artificial intelligence in education and identify training and policy gaps.
Exploratory survey design conducted at a regional university with 248 participants
Utilized Likert-scale items and open-ended responses for data collection
Analyzed quantitative data with descriptive and nonparametric statistics
Examined qualitative responses through thematic analysis
Significant differences in AI perceptions based on stakeholder role and age
Students showed high acceptance of AI for learning, while faculty raised concerns about ethics and privacy
Staff opinions highlighted efficiency needs alongside ethical concerns
Participants emphasized the demand for clear guidelines and training for responsible AI use

Sara Lawrence (2026) studied this question.

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