Assessment of Readiness and Perception toward Artificial Intelligence Integration in Nursing Education: A Quantitative Study in Sindh, Pakistan : Artificial Intelligence in Nursing Education

Zeeshan Ahmed; Imran Gul Kaladi; Jasika Rehan; Zahid Hussain Chandio; Javed Ali Zardari; Anesh Kumar

doi:10.54393/nrs.v5i2.175

Authors

Zeeshan Ahmed Faculty of Nursing and Midwifery, Ziauddin University, Karachi, Pakistan
Imran Gul Kaladi Faculty of Nursing and Midwifery, Ziauddin University, Karachi, Pakistan
Jasika Rehan Faculty of Nursing and Midwifery, Ziauddin University, Karachi, Pakistan
Zahid Hussain Chandio College of Nursing (Female), Nawabshah, Pakistan
Javed Ali Zardari Lareb Mustafa Institute of Nursing, Gambat, Pakistan
Anesh Kumar Pir Abdul Qadir Shah Jeelani Institute of Medical Sciences, Gambat, Pakistan

DOI:

https://doi.org/10.54393/nrs.v5i2.175

Keywords:

Artificial Intelligence, Nursing Education, Student Readiness, Perceived Barriers

Abstract

Artificial Intelligence (AI) is revolutionizing healthcare systems worldwide. However, its effective integration into nursing education, particularly in Low and Middle-Income Countries (LMICs), remains underexplored. Objective: To assess the readiness, awareness, and perceived barriers regarding AI integration among nursing students in Sindh using a structured quantitative approach. Methods: A descriptive cross-sectional study was conducted among 230 students using a stratified non-probability random sampling method. Data were collected via a validated Likert-scale questionnaire and analyzed using SPSS version 26.. Results: 90% of students reported conceptual awareness of AI, and 92% expressed excitement about using AI tools in nursing education. However, only 43% had formal AI training. Perceived barriers included data privacy concerns (86%), lack of infrastructure (77%), and fear of job displacement (71%). Conclusion: The study findings demonstrated that it is necessary to have a regular systematic AI-oriented training in the nursing curriculum to better equip students in working with a relevant technology.

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