Artificial intelligence and academic integrity in nursing education: A mixed methods study on usage, perceptions, and institutional implications.

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Title: Artificial intelligence and academic integrity in nursing education: A mixed methods study on usage, perceptions, and institutional implications.
Authors: Zgambo M; School of Nursing and Midwifery, Edith Cowan University, Joondalup Campus, Perth, Western Australia 6027, Australia. Electronic address: m.zgambo@ecu.edu.au., Costello M; School of Nursing and Midwifery, Edith Cowan University, Joondalup Campus, Perth, Western Australia 6027, Australia., Buhlmann M; School of Nursing and Midwifery, Edith Cowan University, Southwest Campus, Bunbury, Western Australia 6230, Australia., Maldon J; Centre for Learning and Teaching, Edith Cowan University, Joondulup Campus, Perth, Western Australia 6027, Australia., Anyango E; School of Nursing and Midwifery, Edith Cowan University, Joondalup Campus, Perth, Western Australia 6027, Australia., Adama E; School of Nursing and Midwifery, Edith Cowan University, Joondalup Campus, Perth, Western Australia 6027, Australia; Federation University Australia, University Drive, Mount Helen, Victoria 3353, Australia.
Source: Nurse education today [Nurse Educ Today] 2025 Oct; Vol. 153, pp. 106796. Date of Electronic Publication: 2025 Jun 03.
Publication Type: Journal Article
Journal Info: Publisher: Churchill Livingstone Country of Publication: Scotland NLM ID: 8511379 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-2793 (Electronic) Linking ISSN: 02606917 NLM ISO Abbreviation: Nurse Educ Today Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1532-2793
DOI:10.1016/j.nedt.2025.106796