Exploring knowledge, attitudes, and practices towards artificial intelligence among health professions’ students in Jordan
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Introduction: The integration of Artificial Intelligence (AI) in medical education and practice is a significant development. This study examined the Knowledge, Attitudes, and Practices (KAP) of health professions’ students in Jordan concerning AI, providing insights into their preparedness and perceptions. Methods: An online questionnaire was distributed to 483 Jordanian health professions’ students via social media. Demographic data, AI-related KAP, and barriers were collected. Quantile regression models analyzed associations between variables and KAP scores. Results: Moderate AI knowledge was observed among participants, with specific understanding of data requirements and barriers. Attitudes varied, combining skepticism about AI replacing human teachers with recognition of its value. While AI tools were used for specific tasks, broader integration in medical education and practice was limited. Barriers included lack of knowledge, access, time constraints, and curriculum gaps. Conclusions: This study highlights the need to enhance medical education with AI topics and address barriers. Students need to be better prepared for AI integration, in order to enable medical education to harness AI’s potential for improved patient care and training.
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Despite enthusiasm about integrating AI in HPE and increased research, there is a lack of basic literacy and understanding of AI technology among HPE students.
“Despite enthusiasm about integrating AI in HPE and the increased amount of research on this topic, there is a lack of basic literacy and understanding of AI technology among HPE students [6, 17–20].”
From Shaping the future: perspectives on the Integration of Artificial Intelligence in health profession education: a multi-country survey (2024) · cites this paper as [20]
The study's finding of low AI literacy among HPE students is consistent with previous studies.
“Our results were consistent with previous studies that demonstrated a similar low literacy level in AI among HPE students.”
From Shaping the future: perspectives on the Integration of Artificial Intelligence in health profession education: a multi-country survey (2024) · cites this paper as [20]
A cross-sectional study involving 483 Jordanian HPE students found that 50% of participants reported a lack of basic knowledge of AI.
“Another cross-sectional study involving 483 Jordanian HPE students (medicine, pharmacy, and dentistry) found that 50% of participants reported a lack of basic knowledge of AI”
From Shaping the future: perspectives on the Integration of Artificial Intelligence in health profession education: a multi-country survey (2024) · cites this paper as [20]
In the same Jordanian study, 62.6% had no idea about machine learning, 69.7% had not had any online or offline classes in AI, and 74.5% had never been taught about AI in their undergraduate studies.
“62.6% had no idea about machine learning, 69.7% had not had any online or offline classes in AI, and 74.5% had never been taught about AI in their undergraduate studies [20].”
From Shaping the future: perspectives on the Integration of Artificial Intelligence in health profession education: a multi-country survey (2024) · cites this paper as [20]
Participants in all of the above studies expressed enthusiasm and positive attitudes toward integrating AI in educational curricula and readiness to learn about AI.
“Interestingly, participants in all of the above studies expressed enthusiasm and positive attitudes toward integrating AI in educational curricula and readiness to learn about AI.”
From Shaping the future: perspectives on the Integration of Artificial Intelligence in health profession education: a multi-country survey (2024) · cites this paper as [20]
Another study involving Jordanian medical students reported similar results, as participants thought that AI would revolutionize the educational system and it was necessary to learn about AI as part of training for students in medical fields at all levels.
“Another study involving Jordanian medical students reported similar results, as participants thought that AI would revolutionize the educational system and it was necessary to learn about AI as part of training for students in medical fields at all levels [20].”
From Shaping the future: perspectives on the Integration of Artificial Intelligence in health profession education: a multi-country survey (2024) · cites this paper as [20]
Our results on positive attitudes toward AI were consistent with previous studies from Arab countries including Lebanon, Syria, Jordan, Egypt, and the KSA.
“Our results were consistent with previous studies from Arab countries including Lebanon [25], , Syria [19], Jordan [20], Egypt [33], and the KSA [26].”
From Shaping the future: perspectives on the Integration of Artificial Intelligence in health profession education: a multi-country survey (2024) · cites this paper as [20]
Lack of expertise, lack of proper training, and time constraints were the main barriers to integrating AI in HPE in similar studies from Arab countries.
“Lack of expertise, lack of proper training, and time constraints were the main barriers to integrating AI in HPE in similar studies from Arab countries [6, 20].”
From Shaping the future: perspectives on the Integration of Artificial Intelligence in health profession education: a multi-country survey (2024) · cites this paper as [20]
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Addressing Issues and Challenges Using AI in Pharmacy
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Advancing AI in Omani Medical Research: Progress, Challenges, and Ethics
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- Authors
- Al-Qerem, W., Eberhardt, J., Jarab, A., Al Bawab, A. Q., Hammad, A., Alasmari, F., Alazab, B., Husein, D. A., Alazab, J., & Al-Beool, S.
- Affiliations
- Al-Zaytoonah University of Jordan (JO)
- Teesside University (GB)
- Jordan University of Science and Technology (JO)
- King Saud University (SA)
- University of Jordan (JO)
- Corresponding author
- Al-Qerem, Walid
- ORCID
- Venue
- BMC Medical Informatics and Decision Making
- Published
- 2023-12-14
- Volume
- 23
- Issue
- 1
- Pages
- 288-288
- ISSN
- 1472-6947 (ISSN-L)
- PMC
- PMC10722664
- OpenAlex
- W4389728663
- Cited by
- 138
- References
- 24
- Citations by year
- 2026: 51 · 2025: 58 · 2024: 26 · 2023: 1 · 2022: 1 · 2020: 1
- FWCI
- 5.42
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BMC Medical Informatics and Decision Making (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- TeesRep (Teesside University) (acceptedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- King Saud University (RSP2023R235)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Keywords
- artificial intelligence, health professions students, knowledge, attitudes and practices, medical education, clinical implementation of AI, curriculum gaps, Jordan
- MeSH terms
- Artificial Intelligence, Health Occupations, Humans, Jordan, Health Knowledge, Attitudes, Practice, Students
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