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All Journal UNEJ e-Proceeding Jurnal Ilmiah Keperawatan (Scientific Journal of Nursing) Nurse and Health: Jurnal Keperawatan Jurnal Pengabdian Masyarakat Kesehatan The Indonesian Journal of Health Science Jurnal Aisyah : Jurnal Ilmu Kesehatan FUNDAMENTAL AND MANAGEMENT NURSING JOURNAL PROFESSIONAL HEALTH JOURNAL Nursing and Health Sciences Journal (NHSJ) IJOHCM D Nursing and Health Journal (DNHJ) Health and Technology Journal (HTECHJ) Coping : Community of Publishing in Nursing
Zainal Abidin
D3 Keperawatan Fakultas Keperawatan Universitas Jember Kampus Lumajang
Humanities Biochemistry, Genetics & Molecular Biology Decision Sciences, Operations Research & Management Dentistry Education Health Professions Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Veterinary Other

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ACCEPTANCE AND USE OF ARTIFICIAL INTELLIGENCE (AI) AMONG NURSING STUDENTS: A SCOPING REVIEW Annisa Pratiwi; Zainal Abidin; Rizeki Dwi Fibriansari; Anggia Astuti
Community of Publishing in Nursing Vol. 13 No. 5 (2025): Oktober 2025
Publisher : Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/coping.2025.v13.i05.p02

Abstract

Artificial intelligence (AI) had the potential to transform nursing education and practices. Nursing students need to be prepared to understand, accept, and use AI. However, nursing students experienced various challenges in using AI. This scoping review aimed to map the literature related to the acceptance and use of AI among nursing students. This scoping review followed the framework by Arksey and O’Malley. Inclusion criteria were AI-related studies involving nursing students, published in English (2015-2025), and available in full text. The search and selection of articles were shown in the PRISMA-SR flow diagram. Data extraction was done by creating a table. This research identified nine articles. Most studies reported positive attitudes and high readiness among nursing students to accept and use AI. Students used AI for learning, completing academic assignments, and supporting clinical practice. Influencing factors included AI literacy, personality, smart device addiction, and prior technology experience. Main challenges identified were lack of AI-focused training and curriculum, financial barriers, and concerns about data reliability. Nursing students generally demonstrated positive acceptance and use of AI, but significant gaps remained in training, curriculum integration, and access. These challenges are addressed through structured education, financial support, and ethical guidelines to optimize AI in nursing education and practices.
Co-Authors Achmad Kusyairi Anggia Astuti Annisa Pratiwi Diwali Sukma Alyani Dodi Wijaya Dodik Hartono Fahruddin Kurdi Hesty Dwi Puspitasari Ike Adelia Indah Ratnawati Indriana Noor Istiqomah Kholis, Anja Hesnia M, Mashuri Maduratna Arinda Alif Mariani Muhammad Akhsal Dias Safatullah Nabila Cindy Anggraeni Nuring Dwi Hareni Primasari Mahardhika Rahmawati Ratna Puji Priyanti Rizeki Dwi Fibriansari Rizka Yunita Shafia Annisa Sharifah Aini Tika Rachmad Siswa Aini Suhari Syaifuddin Kurnianto Vespan Candra Surya Villyana Riskiyanti Widya Addiarto Yeni Andriani