ORIGINAL RESEARCH article

Front. Educ.

Sec. Higher Education

Volume 10 - 2025 | doi: 10.3389/feduc.2025.1542769

This article is part of the Research TopicAI's Impact on Higher Education: Transforming Research, Teaching, and LearningView all 10 articles

Apprehension Toward Generative Artificial Intelligence in Healthcare: A Multinational Study among Health Sciences Students

Provisionally accepted
Malik  SallamMalik Sallam1*Kholoud  Al-MahzoumKholoud Al-Mahzoum2Haya  AlarajiHaya Alaraji1Noor  AlbayatiNoor Albayati1Shahad  AlenzeiShahad Alenzei1Fai  AlfarhanFai Alfarhan1Aisha  AlkandariAisha Alkandari1Sarah  AlkhaldiSarah Alkhaldi1Noor  AlhaiderNoor Alhaider1Dimah  Al-ZubaidiDimah Al-Zubaidi1Fatma  ShammariFatma Shammari1Mohammad  SalahaldeenMohammad Salahaldeen1Aya  Saleh SlehatAya Saleh Slehat1Maad  M MijwilMaad M Mijwil3Doaa  H AbdelazizDoaa H Abdelaziz4Ahmad Samed  Al-AdwanAhmad Samed Al-Adwan5
  • 1The University of Jordan, Aljubeiha, Jordan
  • 2Jaber Al Ahmed Al Sabah Health Center, Ministry of Health (Kuwait), Kuwait City, Kuwait
  • 3Al-Iraqia University, Baghdad, Baghdad, Iraq
  • 4Al Baha University, Al Bahah, Saudi Arabia
  • 5Al-Ahliyya Amman University, Amman, Amman, Jordan

The final, formatted version of the article will be published soon.

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.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.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.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.

Keywords: technophobia, Anxiety, ChatGPT, artificial intelligence, Chatbots, higher education, Health Education, Psychology in education

Received: 10 Dec 2024; Accepted: 15 Apr 2025.

Copyright: © 2025 Sallam, Al-Mahzoum, Alaraji, Albayati, Alenzei, Alfarhan, Alkandari, Alkhaldi, Alhaider, Al-Zubaidi, Shammari, Salahaldeen, Slehat, Mijwil, Abdelaziz and Al-Adwan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Malik Sallam, The University of Jordan, Aljubeiha, Jordan

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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