AI-Powered Population Health Education: Enhancing Student Awareness in Higher Education
DOI:
https://doi.org/10.64850/cognitive.v2i1.241Keywords:
Artificial Intelligence, Population Health Education, Student Awareness, Higher Education, Qualitative ResearchAbstract
Artificial intelligence (AI) is increasingly shaping teaching and learning in higher education, yet its role in population health education remains underexplored. This study examined how AI supports population health education and enhances student awareness in higher education. A qualitative research design was employed to gain an in-depth understanding of students’ perceptions, experiences, and interpretations of using AI tools in learning population health-related topics. Data were collected through semi-structured interviews with university students who had prior experience using AI-based tools for academic purposes. The data were analyzed using thematic analysis. The findings revealed that students used AI to simplify complex concepts, summarize academic materials, and access health-related information more quickly. Participants also reported that AI helped broaden their understanding of population health by increasing awareness of prevention, hygiene, sanitation, and community well-being. At the same time, important concerns emerged, including the risk of inaccurate information, overreliance on AI, and reduced critical thinking. These findings suggest that AI has strong potential to support population health education when integrated carefully and supported by critical guidance. The study contributes to current discussions on AI in higher education by showing that AI can enhance student awareness of population health issues, but its educational value depends on responsible and ethical use.
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References
Acosta, J. A. (2025). Perspective: Advancing public health education by embedding AI literacy. Frontiers in Digital Health, 7, Article 1584883. https://doi.org/10.3389/fdgth.2025.1584883
Alam, Z., Abdullahi, A. S., Alnuaimi, S. N. S., Al Shaka, H. A., Alderei, S. S. S., Alhemeiri, A. A. A., Khorzom, H., Almaskari, H. J. M., Almaamari, K. A., Al Seiari, K., Al Saadi, M., Al Shamsi, N., Al Zaabi, O., Altamimi, S., & Rahma, A. T. (2025). eHealth literacy and attitudes towards use of artificial intelligence among university students in the United Arab Emirates, a cross-sectional study. Frontiers in Digital Health, 7, Article 1574263. https://doi.org/10.3389/fdgth.2025.1574263
Arif, M., Ismail, A., Aqib, M., Shaoan, M. M. R., Ali, W., & Okafor, M. U. (2025a). The impact of AI-driven tools on foreign students’ Chinese language acquisition: A case study at Southwest University. Language, Technology, and Social Media, 3(1), 150–168. https://doi.org/10.70211/ltsm.v3i1.165
Arif, M., Ismail, A., & Gul, A. (2025b). Challenges of real-time translation applications in online academic discussions: A phenomenological study of Sino–Greek master’s students. In Proceedings of the Cirebon International Conference on Education and Science (CICES-2025) (p. 443). https://doi.org/10.70211/ltsm.v3i1.165
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Campillo-Ferrer, J. M., Sánchez-Ibáñez, R., Miralles-Martínez, P., & López-Martín, J. A. (2025). Student perceptions of the use of Gen-AI in a higher education context. AI, 5(3), 29. https://doi.org/10.3390/digital5030029
Çerkini, B., Berisha, V., & colleagues. (2025). Artificial intelligence in higher education: Student perceptions, challenges, and institutional policies. Frontiers in Education. https://doi.org/10.3389/feduc.2025.1700056
Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). SAGE.
Knobloch, J., Dhanani, L., Bzowyckyj, A. S., Desai, B. K., & DiVall, M. V. (2024). Students’ perception of the use of artificial intelligence (AI) in pharmacy education. Currents in Pharmacy Teaching and Learning. Advance online publication. https://doi.org/10.1016/j.cptl.2024.05.021
Lim, W. M. (2025). What is qualitative research? An overview and guidelines. Australasian Marketing Journal, 33(2), 199–229. https://doi.org/10.1177/14413582241264619
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. SAGE. https://doi.org/10.1016/0147-1767(85)90062-8
Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic analysis: Striving to meet the trustworthiness criteria. International Journal of Qualitative Methods, 16(1), 1–13. https://doi.org/10.1177/1609406917733847
Patton, M. Q. (2015). Qualitative research & evaluation methods (4th ed.). SAGE.
Salih, N. A. (2024). Artificial intelligence in education: Student awareness, perceptions, and challenges in digital learning environments. Journal of Educational Innovation and Technology, 8(1), 34–49.
Schmidt, D. A., Alboloushi, B., Thomas, A., & Magalhães, R. (2025). Integrating artificial intelligence in higher education: Perceptions, challenges, and strategies for academic innovation. Computers & Education Open, 9, Article 100274. https://doi.org/10.1016/j.caeo.2025.100274
Shishehgar, S., Lee, J., Xie, C., Lam, S. C., Lee, J. J., Chow, K. M., & Wong, F. K. Y. (2025). Artificial intelligence in health education and practice: A systematic review of health students’ and academics’ knowledge, perceptions, and experiences. International Nursing Review. Advance online publication. https://doi.org/10.1111/inr.70045
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The datasets generated or analyzed during the current study are available from the corresponding author on reasonable request.
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Copyright (c) 2026 Wazeer Ahmad (Author)

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