Introduction: Artificial Intelligence (AI) is a field of computer science that mimics human intelligence in learning and problem-solving processes. There is a paucity of information regarding students’ knowledge, attitudes, and practices regarding AI. This study assessed the knowledge, attitudes, and practices of pharmacy students regarding AI. Materials and Methods: This descriptive cross-study was conducted among 262 pharmacy students at the University of Zambia using a structured questionnaire from August 2024 to September 2024. Data collected were analyzed using Statistical Package for Social Science (SPSS) version 23.0. The statistical significance was set at a 95% confidence level (p-value less than 0.05). Results: Of the 262 participants, 237 (90.4%) were aged between 20 and 30 years, 253 (96.6%) were familiar with the concept of AI, and 257 (98.1%) were aware of ChatGPT. Overall, 186 (71.3%) had inadequate knowledge, 186 (71.3%) had negative attitudes, and 135 (51.7%) had suboptimal practices towards AI. The results show a lower attitude compared to knowledge and practice levels. Inadequate knowledge and attitude were associated with gender (X2 = 11.612, p = 0.001 for knowledge level) and (X2 = 1.812, p = 0.003 for attitude level). Additionally, inadequate practice showed significant associations with years of study (X2 = 8.991, p = 0.028 for practice level) and residence (X2 = 5.593, p = 0.014 for practice level). Conclusion: The present study found that most pharmacy students had inadequate knowledge, attitudes, and practices concerning AI. As a result, there is a need to increase awareness about AI among healthcare students and its usefulness in the delivery of healthcare services. The study’s outcomes offer valuable insights for educating pharmacy students about AI and its applications within the pharmaceutical industry and the healthcare system. Therefore, we recommend that AI be incorporated into the curricula for the training of pharmacy students and continuous professional development programs for pharmacy personnel.
References
[1]
Akinmoladun, J. A., Smart, A. E., & Atalabi, O. M. (2022). Knowledge, Attitude, and Perception of Radiologists about Artificial Intelligence in Nigeria. West African Journal of Radiology, 29, 112-117. https://doi.org/10.4103/wajr.wajr_42_21
[2]
Albayati, H. (2024). Investigating Undergraduate Students’ Perceptions and Awareness of Using ChatGPT as a Regular Assistance Tool: A User Acceptance Perspective Study. Computers and Education: Artificial Intelligence, 6, Article 100203. https://doi.org/10.1016/j.caeai.2024.100203
[3]
Allam, A. H., Eltewacy, N. K., Alabdallat, Y. J., Owais, T. A., Salman, S., Ebada, M. A. et al. (2024). Knowledge, Attitude, and Perception of Arab Medical Students towards Artificial Intelligence in Medicine and Radiology: A Multi-National Cross-Sectional Study. European Radiology, 34, 1-14. https://doi.org/10.1007/s00330-023-10509-2
[4]
Al-Qerem, W., Eberhardt, J., Jarab, A., Al Bawab, A. Q., Hammad, A., Alasmari, F. et al. (2023). Exploring Knowledge, Attitudes, and Practices towards Artificial Intelligence among Health Professions’ Students in Jordan. BMC Medical Informatics and Decision Making, 23, Article No. 288. https://doi.org/10.1186/s12911-023-02403-0
[5]
Aziz, M. H. A., Rowe, C., Southwood, R., Nogid, A., Berman, S., & Gustafson, K. (2024). A Scoping Review of Artificial Intelligence within Pharmacy Education. American Journal of Pharmaceutical Education, 88, Article 100615. https://doi.org/10.1016/j.ajpe.2023.100615
[6]
Busch, F., Hoffmann, L., Truhn, D., Palaian, S., Alomar, M., Shpati, K. et al. (2024). International Pharmacy Students’ Perceptions towards Artificial Intelligence in Medicine—A Multinational, Multicentre Cross‐Sectional Study. British Journal of Clinical Pharmacology, 90, 649-661. https://doi.org/10.1111/bcp.15911
[7]
Cain, J., Malcom, D. R., & Aungst, T. D. (2023). The Role of Artificial Intelligence in the Future of Pharmacy Education. American Journal of Pharmaceutical Education, 87, Article 100135. https://doi.org/10.1016/j.ajpe.2023.100135
[8]
Caucheteux, C., Hodgkins, L., Batifol, V., Fouché, L., & Romero, M. (2024). Students’ Perspective on the Use of Artificial Intelligence in Education. In A. Urmeneta, & M. Romero (Eds.), Creative Applications of Artificial Intelligence in Education (pp. 101-113). Springer. https://doi.org/10.1007/978-3-031-55272-4_8
[9]
Chalasani, S. H., Syed, J., Ramesh, M., Patil, V., & Pramod Kumar, T. M. (2023). Artificial Intelligence in the Field of Pharmacy Practice: A Literature Review. Exploratory Research in Clinical and Social Pharmacy, 12, Article 100346. https://doi.org/10.1016/j.rcsop.2023.100346
[10]
Chan, C. K. Y., & Hu, W. (2023). Students’ Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Education. International Journal of Educational Technology in Higher Education, 20, Article No. 43. https://doi.org/10.1186/s41239-023-00411-8
[11]
Hasan Sapci, A., & Aylin Sapci, H. (2020). Artificial Intelligence Education and Tools for Medical and Health Informatics Students: Systematic Review. JMIR Medical Education, 6, e19285. https://doi.org/10.2196/19285
[12]
Hasan, H. E., Jaber, D., Al Tabbah, S., Lawand, N., Habib, H. A., & Farahat, N. M. (2024). Knowledge, Attitude and Practice among Pharmacy Students and Faculty Members towards Artificial Intelligence in Pharmacy Practice: A Multinational Cross-Sectional Study. PLOS ONE, 19, e0296884. https://doi.org/10.1371/journal.pone.0296884
[13]
Ibrahim, H., Liu, F., Asim, R., Battu, B., Benabderrahmane, S., Alhafni, B. et al. (2023). Perception, Performance, and Detectability of Conversational Artificial Intelligence across 32 University Courses. Scientific Reports, 13, Article No. 12187. https://doi.org/10.1038/s41598-023-38964-3
[14]
Jackson, P., Ponath Sukumaran, G., Babu, C., Tony, M. C., Jack, D. S., Reshma, V. R. et al. (2024). Artificial Intelligence in Medical Education-Perception among Medical Students. BMC Medical Education, 24, Article No. 804. https://doi.org/10.1186/s12909-024-05760-0
[15]
Jaiteh, J., Hasan, M., Karim, A., Mamun, M. A. A., & Khan, M. S. H. (2024). Students’ Perceptions of Using Artificial Intelligence in Tertiary Education. In T. Cochrane, V. Narayan, E. Bone, C. Deneen, M. Saligari, K. Tregloan, & R. Vanderburg (Eds.), Navigating the Terrain: Emerging Frontiers in Learning Spaces, Pedagogies, and Technologies (pp. 506-511). ASCILITE Publications. https://doi.org/10.14742/apubs.2024.1233
[16]
Jaldi, A. (2023). Artificial Intelligence Revolution in Africa: Economic Opportunities and Legal Challenges. https://www.policycenter.ma/publications/artificial-intelligence-revolution-africa-economic-opportunities-and-legal-challenges
[17]
Jebreen, K., Radwan, E., Kammoun-Rebai, W., Alattar, E., Radwan, A., Safi, W. et al. (2024). Perceptions of Undergraduate Medical Students on Artificial Intelligence in Medicine: Mixed-Methods Survey Study from Palestine. BMC Medical Education, 24, Article No. 507. https://doi.org/10.1186/s12909-024-05465-4
[18]
Johnson, K. B., Wei, W., Weeraratne, D., Frisse, M. E., Misulis, K., Rhee, K. et al. (2021). Precision Medicine, AI, and the Future of Personalized Health Care. Clinical and Translational Science, 14, 86-93. https://doi.org/10.1111/cts.12884
[19]
Joskow, J., & Yamane, T. (1965). Statistics, an Introductory Analysis. Journal of the American Statistical Association, 60, 678-680. https://doi.org/10.2307/2282703
[20]
Khan, O., Parvez, M., Kumari, P., Parvez, S., & Ahmad, S. (2023). The Future of Pharmacy: How AI Is Revolutionizing the Industry. Intelligent Pharmacy, 1, 32-40. https://doi.org/10.1016/j.ipha.2023.04.008
[21]
Lubowitz, J. H. (2023). ChatGPT, an Artificial Intelligence Chatbot, Is Impacting Medical Literature. Arthroscopy: The Journal of Arthroscopic & Related Surgery, 39, 1121-1122. https://doi.org/10.1016/j.arthro.2023.01.015
[22]
Marrone, R., Zamecnik, A., Joksimovic, S., Johnson, J., & De Laat, M. (2024). Understanding Student Perceptions of Artificial Intelligence as a Teammate. Technology, Knowledge and Learning. https://doi.org/10.1007/s10758-024-09780-z
[23]
Menke, J., Homberg, S., & Koch, O. (2023). Introduction to Artificial Intelligence and Deep Learning Using Interactive Electronic Programming Notebooks. Archiv der Pharmazie, 356, Article 2200628. https://doi.org/10.1002/ardp.202200628
[24]
Mortlock, R., & Lucas, C. (2024). Generative Artificial Intelligence (Gen-AI) in Pharmacy Education: Utilization and Implications for Academic Integrity: A Scoping Review. Exploratory Research in Clinical and Social Pharmacy, 15, Article 100481. https://doi.org/10.1016/j.rcsop.2024.100481
[25]
Mosleh, R., Jarrar, Q., Jarrar, Y., Tazkarji, M., & Hawash, M. (2023). Medicine and Pharmacy Students’ Knowledge, Attitudes, and Practice Regarding Artificial Intelligence Programs: Jordan and West Bank of Palestine. Advances in Medical Education and Practice, 14, 1391-1400. https://doi.org/10.2147/amep.s433255
[26]
Mousavi Baigi, S. F., Sarbaz, M., Ghaddaripouri, K., Ghaddaripouri, M., Mousavi, A. S., & Kimiafar, K. (2023). Attitudes, Knowledge, and Skills towards Artificial Intelligence among Healthcare Students: A Systematic Review. Health Science Reports, 6, e1138. https://doi.org/10.1002/hsr2.1138
[27]
Mudenda, S., & Mohamed, S. (2024). Leveraging Artificial Intelligence and Machine Learning in Predicting and Managing Pandemics: Lessons Learnt and Future Implications in the Healthcare Sector. Scholars Academic Journal of Biosciences, 12, 16-21. https://doi.org/10.36347/sajb.2024.v12i01.003
[28]
Mudenda, S., Daka, V., Mufwambi, W., Matafwali, S. K., Chabalenge, B., Skosana, P. et al. (2023). Student’s Perspectives, Satisfaction and Experiences with Online and Classroom Learning during the COVID-19 Pandemic: Findings and Implications on Blended Learning. SAGE Open Medicine, 11, 1-12. https://doi.org/10.1177/20503121231218904
[29]
Orok, E., Okaramee, C., Egboro, B., Egbochukwu, E., Bello, K., Etukudo, S. et al. (2024). Pharmacy Students’ Perception and Knowledge of Chat-Based Artificial Intelligence Tools at a Nigerian University. BMC Medical Education, 24, Article No. 1237. https://doi.org/10.1186/s12909-024-06255-8
[30]
Peres, R., Schreier, M., Schweidel, D., & Sorescu, A. (2023). On ChatGPT and Beyond: How Generative Artificial Intelligence May Affect Research, Teaching, and Practice. International Journal of Research in Marketing, 40, 269-275. https://doi.org/10.1016/j.ijresmar.2023.03.001
[31]
Sallam, M., Al-Farajat, A., & Egger, J. (2024). Envisioning the Future of ChatGPT in Healthcare: Insights and Recommendations from a Systematic Identification of Influential Research and a Call for Papers. Jordan Medical Journal, 58, 95-108. https://doi.org/10.35516/jmj.v58i1.2285
[32]
Sallam, M., Salim, N., Barakat, M., & Al-Tammemi, A. (2023). ChatGPT Applications in Medical, Dental, Pharmacy, and Public Health Education: A Descriptive Study Highlighting the Advantages and Limitations. Narra J, 3, e103. https://doi.org/10.52225/narra.v3i1.103
[33]
Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The Impact of Artificial Intelligence on Learner-Instructor Interaction in Online Learning. International Journal of Educational Technology in Higher Education, 18, Article No. 54. https://doi.org/10.1186/s41239-021-00292-9
[34]
Shahzad, M. F., Xu, S., & Javed, I. (2024). ChatGPT Awareness, Acceptance, and Adoption in Higher Education: The Role of Trust as a Cornerstone. International Journal of Educational Technology in Higher Education, 21, Article No. 46. https://doi.org/10.1186/s41239-024-00478-x
[35]
Stewart, J., Lu, J., Gahungu, N., Goudie, A., Fegan, P. G., Bennamoun, M. et al. (2023). Western Australian Medical Students’ Attitudes towards Artificial Intelligence in Healthcare. PLOS ONE, 18, e0290642. https://doi.org/10.1371/journal.pone.0290642
[36]
Swed, S., Alibrahim, H., Elkalagi, N. K. H., Nasif, M. N., Rais, M. A., Nashwan, A. J. et al. (2022). Knowledge, Attitude, and Practice of Artificial Intelligence among Doctors and Medical Students in Syria: A Cross-Sectional Online Survey. Frontiers in Artificial Intelligence, 5, Article 1011524. https://doi.org/10.3389/frai.2022.1011524
[37]
Syed, W., & Basil A. Al-Rawi, M. (2023). Assessment of Awareness, Perceptions, and Opinions towards Artificial Intelligence among Healthcare Students in Riyadh, Saudi Arabia. Medicina, 59, Article 828. https://doi.org/10.3390/medicina59050828
[38]
Teng, M., Singla, R., Yau, O., Lamoureux, D., Gupta, A., Hu, Z. et al. (2022). Health Care Students’ Perspectives on Artificial Intelligence: Countrywide Survey in Canada. JMIR Medical Education, 8, e33390. https://doi.org/10.2196/33390
[39]
Weidmann, A. E. (2024). Artificial Intelligence in Academic Writing and Clinical Pharmacy Education: Consequences and Opportunities. International Journal of Clinical Pharmacy, 46, 751-754. https://doi.org/10.1007/s11096-024-01705-1
[40]
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic Review of Research on Artificial Intelligence Applications in Higher Education—Where Are the Educators? International Journal of Educational Technology in Higher Education, 16, Article No. 39. https://doi.org/10.1186/s41239-019-0171-0