Medicine and Pharmacy Students’ Knowledge, Attitudes, and Practice regarding Artificial Intelligence Programs: Jordan and West Bank of Palestine
Open accessAbstract
Background: Artificial intelligence (AI) programs generate responses to input text, showcasing their innovative capabilities in education and demonstrating various potential benefits, particularly in the field of medical education. The current knowledge of health profession students about AI programs has still not been assessed in Jordan and the West Bank of Palestine (WBP). Aim: This study aimed to assess students’ awareness and practice of AI programs in medicine and pharmacy in Jordan and the WBP. Methods: This study was in the form of an observational, cross-sectional survey. A questionnaire was electronically distributed among students of medicine and pharmacy at An-Najah National University (WBP), Al-Isra University (Jordan), and Al-Balqa Applied University (Jordan). The questionnaire consisted of three main categories: sociodemographic characteristics of the participants, practice of AI programs, and perceptions of AI programs, including ChatGPT. Results: A total of 321 students responded to the distributed questionnaire, and 261 participants (81.3%) stated that they had heard about AI programs. In addition, 135 participants had used AI programs before (42.1%), while less than half the participants used them in their university studies (44.2%): for drug information (44.5%), homework (38.9%), and writing research articles (39.3%). There was significantly (48.3%, P < 0.005) more conviction in the use of AI programs for writing research articles among pharmacy students from Palestine compared to Jordan. Lastly, there was significantly more (53.8%, P < 0.05) AI program use among medicine students than pharmacy students. Conclusion: While most medicine and pharmacy students had heard about AI programs, only a small proportion of the participants had used them in their medical study. In addition, attitudes and practice related to AI programs in their education differs between medicine and pharmacy students and between WBP and Jordan. Keywords: artificial intelligence, education, Jordan, medical students, West Bank of Palestine
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Although the number of respondents exceeded the required sample size, the response rate was lower compared with similar studies, which may limit the generalizability of the findings.
“First, although the number of respondents exceeded the required sample size, the response rate was lower compared with similar studies [19, 21, 22, 24, 25, 29, 31, 34, 37, 40, 62], which may limit the generalizability of the findings.”
Younger generations tend to become more quickly familiar with technological innovation than previous generations.
“This result may reflect greater exposure of young people to digital technology and automated learning tools; previous studies have shown a similar association, suggesting that younger generations tend to become more quickly familiar with technological innovation than previous generations [24, 26]”
From Knowledge and use, Perceptions of Benefits and Limitations of Artificial Intelligence Chatbots among Italian Physiotherapy students: a cross-sectional National Study (2025) · cites this paper as [24]
The Results (Descriptive Results; page unavailable) list participants’ ages, and the Discussion compares AI use by field of study and country. Neither reports how quickly different generations become familiar with technology or compares younger people with previous generations (searched: age, generation, and younger versus older familiarity). (LLM, conf=0.77)
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“Several surveys have also highlighted barriers such as over-reliance on technology [22, 26, 28, 32], concerns about the accuracy and reliability of answers [21, 22, 24, 26, 32, 34, 43], and issues related to plagiarism and lack of transparency [23, 26, 35, 37, 42].”
Influential
- Authors
- Mosleh, R., Jarrar, Q., Jarrar, Y., Tazkarji, M., & Hawash, M.
- Affiliations
- An-Najah National University (PS)
- Isra University (JO)
- Al-Balqa Applied University (JO)
- McMaster University (CA)
- Corresponding author
- Jarrar, Yazun
- Venue
- Advances in Medical Education and Practice
- Publisher
- Informa UK Limited
- Published
- 2023-12
- Volume
- Volume 14
- Pages
- 1391-1400
- ISSN
- 1179-7258 (ISSN-L)
- PMC
- PMC10721701
- OpenAlex
- W4389640894
- Cited by
- 40
- References
- 22
- Citations by year
- 2026: 8 · 2025: 25 · 2024: 6 · 2022: 1
- FWCI
- 1.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Advances in Medical Education and Practice (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Dove Medical Press (Taylor and Francis Group) (submittedVersion, cc-by-nc)
- Funders
- Al-Balqa' Applied University
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- artificial intelligence, ChatGPT, medical students, pharmacy students, AI use in education, student attitudes toward AI, Jordan
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