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Cited by 58Artificial Intelligence in Healthcare and EducationArtificial Intelligence in EducationTechnology Adoption and User Behaviour

Artificial intelligence tools utilized in nursing education: incidence and associated factors

Jallad, Samar Thabet, Alsaqer, Khitam, Albadareen, Baker Ishaq, Al-maghaireh, Duaa·2024·Nurse Education Today
DOI 10.1016/j.nedt.2024.106355
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Abstract

Background Artificial intelligence technology is among the most significant advancements that provide students with effective learning opportunities in this digital era. Therefore, the National League for Nursing states that it is necessary to reframe the nursing education process. Objective This study aimed to determine the factors that affect the usefulness and sustainability of artificial intelligence tools used in nursing education. Design A descriptive cross-sectional study was conducted among. Three models, including the Technological Acceptance Model (TAM), the Information System Success Model (ISSM), and the Online Learning Self-Efficacy (OLSE), were used. Participant All of fourth- year undergraduate nursing students who were enrolled in nursing department regularly (N = 420), and who respond (n = 204). Setting In the nursing department of the health professions faculty at AL-Quds University, in Palestine. Results Among the 204 students who responded, 9.80 % employed simulation, 5.40 % utilized virtual reality, 19.10 % used Chat GPT, 42.20 % used mobile applications, and 23.50 % utilized PowerPoint AI as part of their learning process. The mean and standard deviation (SD) were computed for key parameters related to the information system success model (AI) (ISSM) (M = 4.52, SD = 1.17). Technology Acceptance Model (TAM) (M = 4.61, SD = 1.16). Online Learning Self-Efficacy (OLSE) (M = 4.55, SD = 1.28). Conclusion There is a need to adapt teaching strategies and integrate AI tools as useful learning tools, which have become essential for students to complete their learning activities through enhancing knowledge of the multimodal technological factors that should be taken into consideration while creating AI tools across several domains for universities and developers.

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1 of the 68 references couldn’t be matched to a known paper.

Research works printed but not linked: 4

  1. Ahmed, 2024, Implementing technology-mediated learning in universities to achieve sustainable development goals: King Khalid University as a case study, Migrat. Lett., 21, 363
  2. Chang, 2022, Chatbot-facilitated nursing education, Educ. Technol. Soc., 25, 15
  3. Dua’a, 2020, Prevalence and consequences of violence against teachers and its effects socially and psychologically, Prevalence, 25
  4. Siwale, 2023, Societal influences on career decision making: perspectives of a frican women pursuing technology-related professions, Electron. J. of Inf. Syst. Dev. Countr., 89

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Authors
Jallad, S. T., Alsaqer, K., Albadareen, B. I., & Al-maghaireh, D.
Affiliations
  • Al-Quds University (PS)
  • Zarqa University (JO)
  • Palestine Technical University - Kadoorie (PS)
Corresponding author
Jallad, Samar Thabet
ORCID
Venue
Nurse Education Today
Publisher
Elsevier BV
Published
2024-11
Volume
142
Pages
106355
ISSN
0260-6917 (ISSN-L)
DOI
10.1016/j.nedt.2024.106355
OpenAlex
W4401573973
Cited by
58
References
68
Citations by year
2026: 31 · 2025: 27
FWCI
4.93
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Nurse Education Today (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Keywords
artificial intelligence in nursing education, nursing students, technology acceptance, information system success, online learning self-efficacy, ChatGPT, virtual reality simulation, mobile learning applications
MeSH terms
Adult, Artificial Intelligence, Cross-Sectional Studies, Education, Nursing, Baccalaureate, Female, Humans, Learning, Male, Surveys and Questionnaires, Students, Nursing, Self Efficacy

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