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September 8, 2026BMC NursingOpen Access

Nursing students’ and faculty experiences with artificial intelligence in education: a qualitative study using the technology acceptance model

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Authors

AAArzu AkbabaAÇAfra Çalık

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Overview

Qualitative study reveals wide adoption and psychosocial support from artificial intelligence in nursing education, highlighting the need for structured literacy programs and ethical guidelines.

Key Points

  • To examine the perceptions, educational experiences, and acceptance of artificial intelligence among nursing students and faculty members using the Technology Acceptance Model.
  • Descriptive qualitative study conducted in accordance with COREQ reporting guidelines between December 2024 and April 2025 across two accredited universities.
  • Semi-structured interviews were completed with 28 participants, including 16 nursing students and 12 faculty members.
  • Interview transcripts were analyzed using deductive and inductive content analysis framed around the Technology Acceptance Model.
  • Analysis identified four core themes consistent with the Technology Acceptance Model: perceived ease of use, perceived usefulness, behavioral intention to use, and actual system use.
  • Students utilized artificial intelligence predominantly for presentations, visual content, and case study analysis, whereas faculty leveraged it for course preparation, administrative work, and academic writing.
  • Participants reported that artificial intelligence provided cognitive, instructional, and psychosocial relief during academic stress, while expressing concerns regarding reduced critical thinking, plagiarism, and misinformation.

Cite This Study

Akbaba et al. (2026) studied this question.

synapsesocial.com/papers/6a9fd72a58e84d0ff5b45b87https://doi.org/10.1186/s12912-026-04986-1
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