Student attitudes toward AI: The influence of AI literacy and self-efficacy among allied health students
John Mark R. Asio, Maria Sandra C. Rivera, Claire I. Cruz, April Joyce L. Dela Cruz & Victor C. Quimen, Jr.
Abstract
In the 21st century of learning, Artificial Intelligence (AI) has already immersed itself into the process. AI in education is a new trend that students are still quite unaware of its potential and capacity as a tool for learning. This study investigated the attitude toward AI, AI literacy, and AI self-efficacy among allied health students from a higher education institution in Olongapo City, Philippines. A quantitative-correlation design was the research method employed by the study. A total of 324 conveniently chosen allied health participants took the online survey during the academic year of 2024-2025. The study also used a modified research instrument to gather data. The collected data underwent statistical analysis using Statistical Package for Social Sciences (SPSS) 23. Results show that the student attitude toward AI, the AI literacy, and the AI self-efficacy yielded a moderate mean score. At the same time, significant differences were observed for the student attitude toward AI (age, year level, and Use of AI) and AI self-efficacy (sex and use of AI). Additionally, there was a significant relationship between student attitude toward AI, AI literacy, and AI self-efficacy. Linear regression analysis confirmed that both AI literacy and AI self-efficacy predict the student attitude toward AI. The study concluded that students' attitudes toward AI can be predicted by AI literacy and AI self-efficacy among allied health students.
Keywords
attitude, literacy, self-efficacy, Higher Education Institution, HEI
Author information & Contribution
John Mark R. Asio. Corresponding author. Doctor in Public Administration, Research Director, Gordon College. Email: asio.johnmark@gmail.com
Maria Sandra C. Rivera. Master in Community Health Science and Master in Public Administration, Program Coordinator, BS Midwifery, Gordon College.
Claire I. Cruz. Master in Public Administration, Faculty, BS Midwifery, Gordon College.
April Joyce L. Dela Cruz. Master of Arts in Nursing, Level Coordinator and Research Coordinator, CAHS, Gordon College.
Victor C. Quimen, Jr. PhD in Management, Dean, CAHS, Gordon College.
"Authors 1, 2, 3, 4, conceptualized the research framework. Authors 2, 3, 4 gathered the data, Authors 1, 4, 5, analyzed and interpreted the data, Authors 1 and 2 finalized the research framework. All of the authors contributed to the writing of the final version of the manuscript."
Disclosure statement
No potential conflict of interest was reported by the authors.
Funding
This work was not supported by any funding.
Institutional Review Board Statement
This study was conducted in accordance with the ethical guidelines set by the Gordon College Research Ethics Review Unit. The conduct of this study has been approved and given relative clearance(s) by the Gordon College Research Ethics Review Unit.
Data and Materials Availability
The data supporting the findings of this study are available from the corresponding author upon reasonable request.
AI Declaration
AI tools were not used in writing this paper.
Notes
Acknowledgement
References
Abuadas, M., & Albikawi, Z. (2025). Predicting nursing students’ behavioral intentions to use AI: the interplay of ethical awareness, digital literacy, moral sensitivity, attitude, self-efficacy, anxiety, and social influence. Journal of Human Behavior in the Social Environment, 1-21. https://doi.org/10.1080/10911359.2025.2472852
Adegboye, M. (2024). Impact of artificial intelligence on health information literacy: guidance for healthcare professionals. Library Hi Tech News, 41(7), 1–5. https://doi.org/10.1108/LHTN-03-2024-0048
Alghamdi, S. A., & Alashban, Y. (2024). Medical science students’ attitudes and perceptions of artificial intelligence in healthcare: A national study conducted in Saudi Arabia. Journal of Radiation Research and Applied Sciences, 17(1), 100815. https://doi.org/10.1016/j.jrras.2023.100815
Ali, M. (2025). The role of AI in reshaping medical education: opportunities and challenges. The Clinical Teacher, 22(2), e70040. https://doi.org/10.1111/tct.70040
Ali, M. A., & Mughari, S. (2024). Effect of AI literacy on online information search competencies among medical students in Pakistan. Information Development, 02666669241299765. https://doi.org/10.1177/02666669241299765
Allen, L. K., & Kendeou, P. (2023). ED-AI Lit: An Interdisciplinary Framework for AI Literacy in Education. Policy Insights from the Behavioral and Brain Sciences, 11(1), 3–10. https://doi.org/10.1177/23727322231220339
Altınpulluk, H., & Alptekin, G. (2025). AI Literacy in Distance Learning: Analyzing Graduate Students’ Competencies Across Key Variables. In Proceedings of the World Conference on Education and Teaching 4(1), 48 – 60. https://doi.org/10.33422/etconf.v4i1.1058
Amiri, H., Peiravi, S., rezazadeh shojaee, S. S., Rouhparvarzamin, M., Nateghi, M. N., Etemadi, M. H., Baghini, M.S., Musaie, F., Anvari, M.H., & Asadi Anar, M. (2024). Medical, dental, and nursing students’ attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis. BMC Medical Education, 24(1), 412. https://doi.org/10.1186/s12909-024-05406-1
Atalla, A. D. G., El-Gawad Mousa, M. A., Hashish, E. A. A., Elseesy, N. A. M., Abd El kader Mohamed, A. I., & Sobhi Mohamed, S. M. (2025). Embracing artificial intelligence in nursing: exploring the relationship between artificial intelligence-related attitudes, creative self-efficacy, and clinical reasoning competency among nurses. BMC nursing, 24(1), 661. https://doi.org/10.1186/s12912-025-03306-3
Ayed, A., Ejheisheh, M. A., Al-Amer, R., Aqtam, I., Ali, A. M., Othman, E. H., … & Batran, A. (2025). Insights into the relationship between anxiety and attitudes toward artificial intelligence among nursing students. BMC nursing, 24(1), 812. https://doi.org/10.1186/s12912-025-03490-2
Bahari, G., Alenazi, L., & Alkathiri, A. M. (2025). The implementation of artificial intelligence in nursing education and its psychological impact on nursing students: A cross-sectional study. Nurse Education Today, 106816. https://doi.org/10.1016/j.nedt.2025.106816
Baigi, S. F. M., 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(3), e1138. https://doi.org/10.1002/hsr2.1138
Bozkurt, S. A., Aydoğan, S., Dursun Ergezen, F., & Türkoğlu, A. (2025). A systematic review and sequential explanatory synthesis: Artificial intelligence in healthcare education, a case of nursing. International Nursing Review, 72(2), e70018. https://doi.org/10.1111/inr.70018
Cardon, P., Fleischmann, C., Aritz, J., Logemann, M., & Heidewald, J. (2023). The Challenges and Opportunities of AI-Assisted Writing: Developing AI Literacy for the AI Age. Business and Professional Communication Quarterly, 86(3), 257- 295. https://doi.org/10.1177/23294906231176517
Chen, C., Hu, W., & Wei, X. (2025). From anxiety to action: exploring the impact of artificial intelligence anxiety and artificial intelligence self-efficacy on motivated learning of undergraduate students. Interactive Learning Environments, 33(4), 3162–3177. https://doi.org/10.1080/10494820.2024.2440877
Derakhshanian, S., Wood, L., & Arruzza, E. (2024). Perceptions and attitudes of health science students relating to artificial intelligence (AI): A scoping review. Health Science Reports, 7(8), e2289. https://doi.org/10.1002/hsr2.2289
Domínguez Figaredo, D., & Stoyanovich, J. (2023). Responsible AI literacy: A stakeholder-first approach. Big Data & Society, 10(2). https://doi.org/10.1177/20539517231219958
El-Sayed, A. A. I., Alsenany, S. A., Almalki, R. S. E., & Asal, M. G. R. (2025). Fostering creativity-nurturing behaviors among nurse educators: Investigating the interplay between evidence-based practice climate and artificial intelligence competence self-efficacy. Nurse Education Today, 151, 106734. https://doi.org/10.1016/j.nedt.2025.106734
Habib, M. M., Hoodbhoy, Z., & Siddiqui, M. R. (2024). Knowledge, attitudes, and perceptions of healthcare students and professionals on the use of artificial intelligence in healthcare in Pakistan. PLOS digital health, 3(5), e0000443. https://doi.org/10.1371/journal.pdig.0000443
Hamad, N. I., El-Ashry, A. M., Ibrahim, I. M., & Hassan, E. A. (2025). Embracing the future: An insight into nursing students’ attitude and perception towards the usability of artificial intelligence in healthcare. Teaching and Learning in Nursing, 20(2), e500-e508. https://doi.org/10.1016/j.teln.2024.12.017
Hobbick, S. (2024). Teaching Telephone Triage with ChatGPT and its Impact on Student Self-Efficacy. https://ssrn.com/abstract=4816566
Hoffman, J., Hattingh, L., Shinners, L., Angus, R. L., Richards, B., Hughes, I., & Wenke, R. (2024). Allied health professionals’ perceptions of artificial intelligence in the clinical setting: Cross-sectional survey. JMIR formative research, 8, e57204. https://doi.org/10.2196/57204
James, D. C., & Maldonado-Molina, M. M. Artificial Intelligence in the Curriculum: Development and Implementation of a Professional Training Program to Promote Literacy Among Health Education College Majors. Pedagogy in Health Promotion, 23733799251335628. https://doi.org/10.1177/23733799251335628
Kimiafar, K., Sarbaz, M., Tabatabaei, S. M., Ghaddaripouri, K., Mousavi, A. S., Mehneh, M. R., & Baigi, S. F. M. (2023). Artificial intelligence literacy among healthcare professionals and students: a systematic review. Frontiers in Health Informatics, 12(0), 168. http://dx.doi.org/10.30699/fhi.v12i0.524
Kwak, Y., Ahn, J. W., & Seo, Y. H. (2022). Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions. BMC nursing, 21(1), 267. https://doi.org/10.1186/s12912-022-01048-0
Laupichler, M. C., Aster, A., Meyerheim, M., Raupach, T., & Mergen, M. (2024). Medical students’ AI literacy and attitudes towards AI: a cross-sectional two-center study using pre-validated assessment instruments. BMC Medical Education, 24(1), 401. https://doi.org/10.1186/s12909-024-05400-7
Li, P. Y., & Sung, H. Y. (2025, July). The Impact of a Palliative Care Chatbot on Nurses’ Self-Efficacy. In International Conference on Innovative Technologies and Learning (pp. 122-128). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-98197-5_14
Lukić, A., Kudelić, N., Antičević, V., Lazić-Mosler, E., Glunčić, V., Hren, D., & Lukić, I. K. (2023). First-year nursing students’ attitudes towards artificial intelligence: Cross-sectional multi-center study. Nurse Education in Practice, 71, 103735. https://doi.org/10.1016/j.nepr.2023.103735
Migdadi, M. D. K., Oweidat, I. A., Alosta, M. R., Al-Mugheed, K., Saeed Alabdullah, A. A., & Farghaly Abdelaliem, S. M. (2024). The association of artificial intelligence ethical awareness, attitudes, anxiety, and intention-to-use artificial intelligence technology among nursing students. Digital Health, 10, 20552076241301958. https://doi.org/10.1177/20552076241301958
Sandanasamy, S., McFarlane, P., Okamoto, Y. & Couper, A. L. (2025). Knowledge and attitudes of nursing students towards artificial intelligence and related factors: A systematic review. Journal of Nursing Reports in Clinical Practice, 3(6), 582–590. https://doi/10.32598/JNRCP.2408.1134
Subaveerapandiyan, A., Mvula, D., Ahmad, N., Taj, A., & Ahmed, M. G. (2024). Assessing AI literacy and attitudes among medical students: implications for integration into healthcare practice. Journal of Health Organization and Management. https://doi.org/10.1108/JHOM-04-2024-0154
Sumengen, A. A., Subasi, D. O., & Cakir, G. N. (2025). Nursing students’ attitudes and literacy toward artificial intelligence: a cross-sectional study. Teaching and Learning in Nursing, 20(1), e250-e257. https://doi.org/10.1016/j.teln.2024.10.022
van de Venter, R., & Williams, M. R. (2024). An artificial intelligence literacy framework for radiographers. Journal of Medical Imaging and Radiation Sciences, 55(3), 101679. https://doi.org/10.1016/j.jmir.2024.101679
Varol, B. (2025). Artificial Intelligence Anxiety in Nursing Students: The Impact of Self-efficacy. CIN: Computers, Informatics, Nursing, 43(6), e01250. https://doi.org/10.1097/CIN.0000000000001250
Wang, X., Fei, F., Wei, J., Huang, M., Xiang, F., Tu, J., … & Gan, J. (2024). Knowledge and attitudes toward artificial intelligence in nursing among various categories of professionals in China: a cross-sectional study. Frontiers in public health, 12, 1433252. https://doi.org/10.3389/fpubh.2024.1433252
Wang, Y. Y., & Chuang, Y. W. (2024). Artificial intelligence self-efficacy: Scale development and validation. Education and Information Technologies, 29(4), 4785-4808. https://doi.org/10.1007/s10639-023-12015-w
Wood, E. A., Ange, B. L., & Miller, D. D. (2021). Are We Ready to Integrate Artificial Intelligence Literacy into Medical School Curriculum: Students and Faculty Survey. Journal of Medical Education and Curricular Development, 8. https://doi.org/10.1177/23821205211024078
Yalcinkaya, T., Ergin, E., & Yucel, S. C. (2024). Exploring nursing students’ attitudes and readiness for artificial intelligence: a cross-sectional study. Teaching and Learning in Nursing, 19(4), e722-e728. https://doi.org/10.1016/j.teln.2024.07.008
Zhang, Q., & Rapport, M. J. (2025). Purposeful Integration of Artificial Intelligence in Evidence-Based Practice Course for Doctor of Physical Therapy Students. Internet Journal of Allied Health Sciences and Practice, 23(2), 13. https://nsuworks.nova.edu/ijahsp/vol23/iss2/13/
Cite this article:
Asio, J.M.R., Rivera, M.S.C., Cruz, C.I., Dela Cruz, A.J.L. & Quimen, V.C. (2025). Student attitudes toward AI: The influence of AI literacy and self-efficacy among allied health students. Journal of Allied Health Sciences & Medical Research, 1(4), 78-94. https://doi.org/10.53378/jahsmr.353300
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