Investigating Students’ Perceptions towards Artificial Intelligence in Medical Education
Abstract
:1. Introduction
2. Methods
2.1. Study Design, Population, and Research Setting
2.2. The Survey Questionnaire
2.3. Ethical Consideration
2.4. Construct Validity of the Questionnaire’s Items
2.4.1. Students’ Perceptions Scale (10 Items)
2.4.2. Impact of AI on Medical Education (Five Items)
2.5. Statistical Analysis
3. Results
3.1. Survey Respondents’ Summary
3.2. Descriptive Statistics
3.3. Students’ Perceptions towards AI
3.4. Student’s Perspective on the Impact of AI on Medical Education and Their Willingness to Use It
3.5. Students’ Status for Previous Teaching or Training in AI
3.6. The Association between Academic Years and the Perceptions towards AI
3.7. The Association between Academic Years and Previous AI Teaching or Training, the Impact of AI on Medical Education and Willingness to Use It
4. Discussion
4.1. Perceptions towards AI among Medical Students
4.2. Teaching or Training in AI among Medical Students
4.3. The Perceived Impact of AI on Medical Education and Willingness to Use It
4.4. Attitudinal Differences among the Students by Academic Phases
4.5. Risks and Ethical/Social Aspects of AI in Healthcare
4.6. The Implications of the Study Findings
4.7. Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Items | Common Factor = 32.76% of Variance Loading |
---|---|
1. Artificial intelligence (AI) will play an important role in health care | 0.482 |
2. AI will replace some specialties in healthcare during my lifetime | 0.255 |
3. I understand basic AI principles | 0.699 |
4. I am comfort with AI terminologies | 0.670 |
5. I understand AI limitations | 0.437 |
6. AI teaching will benefit my career | 0.525 |
7. All medical students should receive AI teaching | 0.472 |
8. I will be confident using AI tools at the end of my medical degree | 0.691 |
9. I will have better understanding of the methods used to assess healthcare AI performance at the end of my medical degree | 0.701 |
10. I will possess the knowledge needed to work with AI in routine clinical practice at the end of my medical degree | 0.619 |
Eigen Value = 3.276 |
Item No. | Common Factor = 46.64% of Variance Loading |
---|---|
1. AI systems would have a positive impact on medical education | 0.811 |
2. Incorporating AI systems in medical education would ease your learning process | 0.810 |
3. Use AI systems in medical education would prepare you for real clinical practice | 0.750 |
4. Use AI systems in medical practice would replace your future role as a physician | 0.176 |
5. The willingness of using AI in medical education system | 0.651 |
Eigen Value= 2.332 |
Characteristic | n (%) |
---|---|
Age (in years) | |
Mean ± SD | 22.1 ± 1.8 |
Gender | |
Male | 39 (11.1) |
Female | 313 (88.9) |
Current academic study year | |
Second to fourth (Phase II) | 178 (50.6) |
Fifth to seventh (Phase III) | 174 (49.4) |
Computer literacy level | |
Literate | 66 (18.8) |
Competent | 265 (75.3) |
Proficient | 21 (5.9) |
Usage of computer technology for learning | |
Always | 206 (58.5) |
Sometimes | 135 (38.4) |
Never | 11 (3.1) |
Statement | Strongly Agree n (%) | Agree n (%) | Disagree n (%) | Strongly Disagree n (%) |
---|---|---|---|---|
AI will play important role in healthcare | 199 (56.5) | 150 (42.6) | 2 (0.6) | 1 (0.3) |
AI will replace some specialties in healthcare during my lifetime | 63 (17.9) | 177 (50.3) | 100 (28.4) | 12 (3.4) |
I understand basic AI principles | 24 (6.8) | 189 (53.7) | 124 (35.2) | 15 (4.3) |
I am comfortable with AI terminologies | 105 (29.8) | 224 (63.6) | 22 (6.3) | 1 (0.3) |
I understand AI limitations | 38 (10.8) | 200 (56.8) | 105 (29.8) | 9 (2.6) |
AI teaching will benefit my career | 105 (29.8) | 224 (63.6) | 22 (6.3) | 1 (0.3) |
All medical students should receive AI teaching | 111 (31.5) | 178 (50.6) | 63 (17.9) | 0 |
I will be confident using AI tools at the end of my medical degree | 52 (14.8) | 156 (44.3) | 129 (36.6) | 15 (4.3) |
I will have better understanding of the methods used to assess healthcare AI performance at the end of my medical degree | 34 (9.7) | 159 (45.2) | 139 (39.5) | 20 (5.7) |
I will possess the knowledge needed to work with AI in routine clinical practice at the end of my medical degree | 28 (8) | 179 (50.9) | 129 (36.6) | 16 (4.5) |
Statement | Strongly Agree n (%) | Agree n (%) | Disagree n (%) | Strongly Disagree n (%) |
---|---|---|---|---|
AI systems will have a positive impact on medical education | 107 (30.4) | 233 (66.2) | 12 (3.4) | 0 |
Incorporating AI in medical education would ease the learning process | 122 (34.7) | 203 (57.7) | 23 (6.5) | 4 (1.1) |
Using AI in medical education will prepare me for real clinical practice | 94 (26.7) | 182 (51.7) | 70 (19.9) | 6 (1.7) |
AI will replace my future role as a physician | 17 (4.8) | 58 (16.5) | 177 (50.3) | 100 (28.4) |
Very willing n (%) | Willing n (%) | Not willing n (%) | Not at all willing n (%) | |
Willingness to use AI in medical education | 120 (34.1) | 202 (57.4) | 27 (7.7) | 3 (0.9) |
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Share and Cite
Buabbas, A.J.; Miskin, B.; Alnaqi, A.A.; Ayed, A.K.; Shehab, A.A.; Syed-Abdul, S.; Uddin, M. Investigating Students’ Perceptions towards Artificial Intelligence in Medical Education. Healthcare 2023, 11, 1298. https://doi.org/10.3390/healthcare11091298
Buabbas AJ, Miskin B, Alnaqi AA, Ayed AK, Shehab AA, Syed-Abdul S, Uddin M. Investigating Students’ Perceptions towards Artificial Intelligence in Medical Education. Healthcare. 2023; 11(9):1298. https://doi.org/10.3390/healthcare11091298
Chicago/Turabian StyleBuabbas, Ali Jasem, Brouj Miskin, Amar Ali Alnaqi, Adel K. Ayed, Abrar Abdulmohsen Shehab, Shabbir Syed-Abdul, and Mohy Uddin. 2023. "Investigating Students’ Perceptions towards Artificial Intelligence in Medical Education" Healthcare 11, no. 9: 1298. https://doi.org/10.3390/healthcare11091298
APA StyleBuabbas, A. J., Miskin, B., Alnaqi, A. A., Ayed, A. K., Shehab, A. A., Syed-Abdul, S., & Uddin, M. (2023). Investigating Students’ Perceptions towards Artificial Intelligence in Medical Education. Healthcare, 11(9), 1298. https://doi.org/10.3390/healthcare11091298