The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Effect of Artificial Intelligence Course in Nursing on Students' Medical Artificial Intelligence Readiness: A Comparative Quasi-Experimental Study
Abstract
BACKGROUND: It is predicted that artificial intelligence (AI) will transform nursing across all domains of nursing practice, including administration, clinical care, education, policy, and research. PURPOSE: This study examined the impact of an AI course in the nursing curriculum on students' medical AI readiness. DESIGN AND METHODS: This comparative quasi-experimental study was conducted with a total of 300 3rd-year nursing students, 129 in the control group and 171 in the experimental group. Students in the experimental group received 28 hours of AI training. The students in the control group were not given any training. Data were collected by a socio-demographic form and the Medical Artificial Intelligence Readiness Scale. RESULTS: An AI course should be included in the nursing curriculum, according to 67.8% of students in the experimental group and 57.4% of students in the control group. The mean score of the experimental group on medical AI readiness was higher ( P < .05) and the effect size of the course on readiness was -0.29. CONCLUSIONS: An AI nursing course positively affects students' readiness for medical AI.
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There is a compelling need for empirical studies to assess AI technologies' effects on nursing education.
“there is a compelling need for empirical studies to assess these technologies' effects on nursing education.”
From The Impact of Artificial Intelligence-Assisted Learning on Nursing Students' Ethical Decision-making and Clinical Reasoning in Pediatric Care (2024) · cites this paper as [17]
Participants advocated for patient rights and privacy, aligning with research underscoring nurses' accountability in ethical AI integration.
“Their advocacy for patient rights and privacy aligns with research underscoring nurses' accountability in ensuring the ethical integration of AI [70].”
From Artificial intelligence in future nursing care: exploring perspectives of nursing professionals - a descriptive qualitative study (2024) · cites this paper as [70]
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Metadata
- Authors
- Taskiran, N.
- Affiliations
- Assistant Professor, Department of Fundamentals of Nursing, Faculty of Nursing, Aydın Adnan Menderes University, Aydın, Turkey.
- ORCID
- Taskiran, Nihal
- Venue
- Nurse Educator
- Published
- 2023-05-02
- Volume
- 48
- Issue
- 5
- Pages
- E147-E152
- ISSN
- 0363-3624 (ISSN-L)
- 1538-9855
- OpenAlex
- W4367834363
- Cited by
- 75
- References
- 28
- Citations by year
- 2026: 28 · 2025: 32 · 2024: 14 · 2023: 1
- FWCI
- 3.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nurse Educator (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Education › Innovations in Medical Education
- Social Sciences › Education › Artificial Intelligence in Education
- Keywords
- artificial intelligence in nursing, nursing curriculum, nursing students, AI readiness, nursing education
- MeSH terms
- Artificial Intelligence, Curriculum, Educational Measurement, Humans, Students, Medical, Students, Nursing, Nursing Education Research
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