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Apprehension toward generative artificial intelligence in healthcare : a multinational study among health sciences students

Sallam, Malik LU ; Al-Mahzoum, Kholoud ; Alaraji, Haya ; Albayati, Noor ; Alenzei, Shahad ; AlFarhan, Fai ; Alkandari, Aisha ; Alkhaldi, Sarah ; Alhaider, Noor and Al-Zubaidi, Dimah , et al. (2025) In Frontiers in Education 10.
Abstract

Background: In the recent generative artificial intelligence (genAI) era, health sciences students (HSSs) are expected to face challenges regarding their future roles in healthcare. This multinational cross-sectional study aimed to confirm the validity of the novel FAME scale examining themes of Fear, Anxiety, Mistrust, and Ethical issues about genAI. The study also explored the extent of apprehension among HSSs regarding genAI integration into their future careers. Methods: The study was based on a self-administered online questionnaire distributed using convenience sampling. The survey instrument was based on the FAME scale, while the apprehension toward genAI was assessed through a modified scale based on State-Trait Anxiety... (More)

Background: In the recent generative artificial intelligence (genAI) era, health sciences students (HSSs) are expected to face challenges regarding their future roles in healthcare. This multinational cross-sectional study aimed to confirm the validity of the novel FAME scale examining themes of Fear, Anxiety, Mistrust, and Ethical issues about genAI. The study also explored the extent of apprehension among HSSs regarding genAI integration into their future careers. Methods: The study was based on a self-administered online questionnaire distributed using convenience sampling. The survey instrument was based on the FAME scale, while the apprehension toward genAI was assessed through a modified scale based on State-Trait Anxiety Inventory (STAI). Exploratory and confirmatory factor analyses were used to confirm the construct validity of the FAME scale. Results: The final sample comprised 587 students mostly from Jordan (31.3%), Egypt (17.9%), Iraq (17.2%), Kuwait (14.7%), and Saudi Arabia (13.5%). Participants included students studying medicine (35.8%), pharmacy (34.2%), nursing (10.7%), dentistry (9.5%), medical laboratory (6.3%), and rehabilitation (3.4%). Factor analysis confirmed the validity and reliability of the FAME scale. Of the FAME scale constructs, Mistrust scored the highest, followed by Ethics. The participants showed a generally neutral apprehension toward genAI, with a mean score of 9.23 ± 3.60. In multivariate analysis, significant variations in genAI apprehension were observed based on previous ChatGPT use, faculty, and nationality, with pharmacy and medical laboratory students expressing the highest level of genAI apprehension, and Kuwaiti students the lowest. Previous use of ChatGPT was correlated with lower apprehension levels. Of the FAME constructs, higher agreement with the Fear, Anxiety, and Ethics constructs showed statistically significant associations with genAI apprehension. Conclusion: The study revealed notable apprehension about genAI among Arab HSSs, which highlights the need for educational curricula that blend technological proficiency with ethical awareness. Educational strategies tailored to discipline and culture are needed to ensure job security and competitiveness for students in an AI-driven future.

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type
Contribution to journal
publication status
published
subject
keywords
anxiety, artificial intelligence, Chatbots, ChatGPT, health education, higher education, psychology in education, technophobia
in
Frontiers in Education
volume
10
article number
1542769
publisher
Frontiers Media S. A.
external identifiers
  • scopus:105005103542
ISSN
2504-284X
DOI
10.3389/feduc.2025.1542769
language
English
LU publication?
yes
id
834a081d-9278-4f79-a4df-bbafff71afe1
date added to LUP
2025-09-26 14:44:04
date last changed
2025-09-26 14:44:42
@article{834a081d-9278-4f79-a4df-bbafff71afe1,
  abstract     = {{<p>Background: In the recent generative artificial intelligence (genAI) era, health sciences students (HSSs) are expected to face challenges regarding their future roles in healthcare. This multinational cross-sectional study aimed to confirm the validity of the novel FAME scale examining themes of Fear, Anxiety, Mistrust, and Ethical issues about genAI. The study also explored the extent of apprehension among HSSs regarding genAI integration into their future careers. Methods: The study was based on a self-administered online questionnaire distributed using convenience sampling. The survey instrument was based on the FAME scale, while the apprehension toward genAI was assessed through a modified scale based on State-Trait Anxiety Inventory (STAI). Exploratory and confirmatory factor analyses were used to confirm the construct validity of the FAME scale. Results: The final sample comprised 587 students mostly from Jordan (31.3%), Egypt (17.9%), Iraq (17.2%), Kuwait (14.7%), and Saudi Arabia (13.5%). Participants included students studying medicine (35.8%), pharmacy (34.2%), nursing (10.7%), dentistry (9.5%), medical laboratory (6.3%), and rehabilitation (3.4%). Factor analysis confirmed the validity and reliability of the FAME scale. Of the FAME scale constructs, Mistrust scored the highest, followed by Ethics. The participants showed a generally neutral apprehension toward genAI, with a mean score of 9.23 ± 3.60. In multivariate analysis, significant variations in genAI apprehension were observed based on previous ChatGPT use, faculty, and nationality, with pharmacy and medical laboratory students expressing the highest level of genAI apprehension, and Kuwaiti students the lowest. Previous use of ChatGPT was correlated with lower apprehension levels. Of the FAME constructs, higher agreement with the Fear, Anxiety, and Ethics constructs showed statistically significant associations with genAI apprehension. Conclusion: The study revealed notable apprehension about genAI among Arab HSSs, which highlights the need for educational curricula that blend technological proficiency with ethical awareness. Educational strategies tailored to discipline and culture are needed to ensure job security and competitiveness for students in an AI-driven future.</p>}},
  author       = {{Sallam, Malik and Al-Mahzoum, Kholoud and Alaraji, Haya and Albayati, Noor and Alenzei, Shahad and AlFarhan, Fai and Alkandari, Aisha and Alkhaldi, Sarah and Alhaider, Noor and Al-Zubaidi, Dimah and Shammari, Fatma and Salahaldeen, Mohammad and Slehat, Aya Saleh and Mijwil, Maad M. and Abdelaziz, Doaa H. and Al-Adwan, Ahmad Samed}},
  issn         = {{2504-284X}},
  keywords     = {{anxiety; artificial intelligence; Chatbots; ChatGPT; health education; higher education; psychology in education; technophobia}},
  language     = {{eng}},
  publisher    = {{Frontiers Media S. A.}},
  series       = {{Frontiers in Education}},
  title        = {{Apprehension toward generative artificial intelligence in healthcare : a multinational study among health sciences students}},
  url          = {{http://dx.doi.org/10.3389/feduc.2025.1542769}},
  doi          = {{10.3389/feduc.2025.1542769}},
  volume       = {{10}},
  year         = {{2025}},
}