The role of artificial intelligence literacy and innovation mindset in shaping nursing students' career and talent self-efficacy

Boshra Karem Mohamed El-Sayed; Ahmed Abdelwahab Ibrahim El-Sayed; Samira Ahmed Alsenany; Maha Gamal Ramadan Asal

doi:10.1016/j.nepr.2024.104208

The role of artificial intelligence literacy and innovation mindset in shaping nursing students' career and talent self-efficacy

Nurse Educ Pract. 2024 Dec 1:82:104208. doi: 10.1016/j.nepr.2024.104208. Online ahead of print.

Authors

Boshra Karem Mohamed El-Sayed¹, Ahmed Abdelwahab Ibrahim El-Sayed², Samira Ahmed Alsenany³, Maha Gamal Ramadan Asal⁴

Affiliations

¹ Lecturer of Nursing Administration, Nursing Administration Department, Faculty of Nursing, Alexandria University, Egypt. Electronic address: [email protected].
² Lecturer of Nursing Administration, Nursing Administration Department, Faculty of Nursing, Alexandria University, Egypt; Nursing Department, College of Pharmacy and Applied Medical Sciences, Dar Al Uloom University, Riyadh, Saudi Arabia. Electronic address: [email protected].
³ Public Health Department, Faculty of Nursing, King Abdulaziz University, Jeddah, Saudi Arabia. Electronic address: [email protected].
⁴ Lecturer of Medical Surgical Nursing, Medical Surgical Nursing Department, Faculty of Nursing, Alexandria University, Alexandria, Egypt. Electronic address: [email protected].

PMID: 39637623
DOI: 10.1016/j.nepr.2024.104208

Abstract

Background: As artificial intelligence (AI) transforms nursing education, AI literacy is becoming a critical necessity for increasing the career potential and talent of nursing students. Additionally, fostering an innovation mindset promotes adaptability, creativity and openness to new approaches, further boosting students' confidence in their careers. However, few studies have examined the impact of these competencies on nursing students' career and talent self-efficacy, underscoring the need for further investigation.

Objective: To examine the moderating effect of AI literacy on the associations between an innovation mindset and nursing students' career and talent self-efficacy.

Design: Cross-sectional study.

Methods: Data were collected from 596 nursing students who were enrolled in the College of Nursing at Alexandria University, Egypt. Three scales, namely, innovative thinking competencies, assessment of nonexperts' AI literacy and career and talent development self-efficacy, were used. Data were collected during the academic year 2023-2024. Hypotheses were tested via correlation and regression analyses.

Results: This study revealed that nursing students had moderate levels of AI literacy, innovation mindset and career and talent self-efficacy. Nursing students' career and talent self-efficacy were significantly predicted by their innovative mindset and AI literacy. AI literacy significantly moderates the relationship between nursing students' innovation mindset and their career and talent self-efficacy, making it more positive.

Conclusion: This study highlighted that fostering awareness with AI-driven tools could cultivate innovative thinking among nursing students and augment confidence in their talents.

Implications: This study underscores that encouraging nursing talent and career aspirations requires the integration of AI literacy and innovative thinking as core competencies in nursing curricula.

Keywords: Artificial intelligence; Career; Innovation; Mindset; Nursing students; Self-efficacy; Talent.