Jun 2026· Research on Education and Media· Vol 18, pp. 63 - 73· 0 citations· 27 references
TL;DR
This study explores faculty and student perceptions of AI knowledge, training, and ethical use within a higher education context and suggests opportunities for AI literacy initiatives and continued discussion regarding ethical AI use in higher education.
Abstract
Abstract In Spring 2025, librarians at a regional comprehensive university in Southwest Florida conducted focus groups with faculty and students to explore their perceptions and experiences with artificial intelligence (AI). Previous research suggests that both groups recognize potential benefits of AI for learning, teaching, and productivity while expressing concerns regarding misinformation, ethics, and future societal impacts. The purpose of this study was to explore faculty and student perceptions of AI knowledge, training, and ethical use within a higher education context. Using a phenomenological approach, researchers conducted separate focus groups with faculty and students and analyzed the resulting discussions for recurring themes. Faculty participants expressed concerns related to critical thinking, institutional guidance, access to practical training, and adapting instruction to an AI -enabled environment. Student participants emphasized misinformation, future employment, and broader societal impacts of AI. Participants in both groups viewed AI as a tool that could be used ethically when applied appropriately. Although limited by its small sample size and single-institution context, the findings suggest opportunities for AI literacy initiatives and continued discussion regarding ethical AI use in higher education.
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First-year university students’ perceptions of generative AI in academic work are investigated, foregrounding student agency in a Global South context and offering pedagogical and policy implications for responsible AI adoption.
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The study explores the paradigm shift in education brought about by the introduction of generative artificial intelligence (AI) tools, focusing on educational stakeholders’ self-reported perceptions rather than observed changes in teaching or learning outcomes. We consider stakeholders’ views on AI-based technologies w...