Impact of generative artificial intelligence on the decision-making of university students in the health sciences: A transversal study
DOI:
https://doi.org/10.56294/dm20251017Keywords:
Higher education, artificial intelligence, decision-making, Underserved Students, health sciencesAbstract
Advanced AI systems, such as those in their generative phase, cause uncertainty among higher education students about their functionality and the academic level they may have when interacting with IAGs such as ChatGPT. The study aimed to examine how interaction with AI tools, such as generative language models, influences students' ability to select learning strategies, manage academic resources, and make informed decisions during their professional training. A quantitative, descriptive, non-experimental approach was used. The initial population was 500 students from the Faculty of Medicine of two recognized higher education institutions in Ecuador, after applying certain inclusion criteria through random convenience sampling. The results showed that generative artificial intelligence significantly influences the academic decision-making of medical students, with scalability and efficiency standing out as key factors. In contrast, user satisfaction showed an inverse relationship, and institutional integration was not a determining factor. It is concluded that the impact of these tools depends on their strategic functionality rather than their superficial perception.
References
1. Chan S, Lo N, Wong A. Generative AI and Essay Writing: Impacts of Automated Feedback on Revision Performance and Engagement. Reflections. 2024;31(3):1249–84.
2. Bellas F, Naya-Varela M, Mallo A, Paz-Lopez A. Education in the AI era: a long-term classroom technology based on intelligent robotics. Humanit Soc Sci Commun. 2024 Dec 1;11(1).
3. Chan CKY. A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education. 2023 Dec 1;20(1).
4. Alrayes A, Henari TF, Ahmed DA. ChatGPT in Education – Understanding the Bahraini Academics Perspective. Electronic Journal of e-Learning. 2024 Apr 22;22(2 Special Issue):112–34.
5. Chan CKY, Lee KKW. The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and millennial generation teachers? Smart Learning Environments. 2023 Dec 1;10(1).
6. DamaševičiusA R. Commentary on Artificial intelligence and graduate employability: What should we teach Generation AI? Journal of Applied Learning & Teaching. 2024 Sep 23;7(2). https://journals.sfu.ca/jalt/index.php/jalt/article/view/1957
7. Almarzouki AF, Alem A, Shrourou F, Kaki S, Khushi M, Mutawakkil A, et al. Assessing the disconnect between student interest and education in artificial intelligence in medicine in Saudi Arabia. BMC Med Educ. 2025 Dec 1;25(1):150.
8. Kaewrat N, Suwannarat K. Influential Factors in the Decision to Pursue a Bachelor’s Degree in Computer Engineering and Artificial Intelligence at the School of Engineering and Technology, Walailak University. Suranaree Journal of Social Science. 2024 Jul 1;18(2).
9. Merzifonluoglu A, Gunes H. Shifting Dynamics: Who Holds the Reins in Decision-Making With Artificial Intelligence Tools? Perspectives of Gen Z Pre-Service Teachers. Eur J Educ. 2025 Mar 1;60(1).
10. Funda V, Francke E. Artificial intelligence-powered decision support system for operational decision-making in the ICT department of a selected African university. African Journal of Science, Technology, Innovation and Development. 2024;16(5):689–701.
11. Albahli S. Advancing Sustainable Educational Practices Through AI-Driven Prediction of Academic Outcomes. Sustainability (Switzerland). 2025 Feb 1;17(3).
12. Kétyi A, Géring Z, Dén-Nagy I. ChatGPT from the students’ point of view – Lessons from a pilot study using ChatGPT in business higher education. Society and Economy. 2024;
13. Elbaz AM, Salem IE, Darwish A, Alkathiri NA, Mathew V, Al-Kaaf HA. Getting to know ChatGPT: How business students feel, what they think about personal morality, and how their academic outcomes affect Oman’s higher education. Computers and Education: Artificial Intelligence. 2024 Dec 1;7.
14. Addas A, Khan MN, Tahir M, Naseer F, Gulzar Y, Onn CW. Integrating sensor data and GAN-based models to optimize medical university distribution: a data-driven approach for sustainable regional growth in Saudi Arabia. Front Educ (Lausanne). 2025;10.
15. Ofem UJ, Ene EI, Ajuluchukwu EN, Neji HA, Edam-Agbor IB, Orim FS, et al. Strengthening students’ research efficacy in higher institutions. A joint mediating effect of the impact of Artificial intelligence using Partial Least Squares Structural Equation Modelling (PLS-SEM). Computers and Education: Artificial Intelligence. 2024 Dec 1;7.
16. Alvarez-Garcia M, Arenas-Parra M, Ibar-Alonso R. Uncovering student profiles. An explainable cluster analysis approach to PISA 2022. Comput Educ. 2024. Dec;223:105166. https://linkinghub.elsevier.com/retrieve/pii/S0360131524001805
17. Farber S. Enhancing Academic Decision-Making: A Pilot Study of AI-Supported Journal Selection in Higher Education. Innov High Educ. 2025;1–19.
18. Driessens O, Pischetola M. Danish university policies on generative AI Problems, assumptions and sustainability blind spots. Journal of media and communication research. 2024;(76):31–52. www.smid.dk
19. Irish AL, Gazica MW, Becerra V. A qualitative descriptive analysis on generative artificial intelligence: bridging the gap in pedagogy to prepare students for the workplace. Discover Education. 2025 Dec 1;4(1).
20. Bukar UA, Sayeed MS, Razak SFA, Yogarayan S, Sneesl R. Prioritizing Ethical Conundrums in the Utilization of ChatGPT in Education through an Analytical Hierarchical Approach. Educ Sci (Basel). 2024 Aug 30;14(9):959.
21. Medina-Vidal A, Alonso-Galicia PE, González-Mendoza M, Ramírez-Montoya MS. Financial inclusion of vulnerable sectors with a gender perspective: risk analysis model with artificial intelligence based on complex thinking. J Innov Entrep. 2025 Dec 1;14(1).
22. Maniyan S, Ghousi R, Haeri A. Data mining-based decision support system for educational decision makers: Extracting rules to enhance academic efficiency. Computers and Education: Artificial Intelligence. 2024 Jun 1;6.
23. Usher M, Barak M. Unpacking the role of AI ethics online education for science and engineering students. Int J STEM Educ. 2024 Dec 1;11(1):2–14.
24. Morales NO, García PAO. Application of Artificial Intelligence Models in Standardized Tests for Optimizing Academic Performance in Higher Education. European Public and Social Innovation Review. 2024 Sep 28;9.
25. Isnaini S, Muslimin AI. The Role of AI in Enhancing Marketing Communication: Implications for Policy and Development in Indonesian Higher Education. Stud Media Commun. 2024 Dec 1;12(4):10–6.
26. Vorontsova A, Tarasenko S, Duranowski W, Durasiewicz A, Soss J, Bilovol A. A bibliometric analysis of the economic effects of using artificial intelligence and ChatGPT tools in higher education institutions. Problems and Perspectives in Management. 2025;23(1):101–14.
27. Zhan Y, Yan Z. Students’ engagement with ChatGPT feedback: implications for student feedback literacy in the context of generative artificial intelligence. Assess Eval High Educ. 2025;2–14.
28. Lagarda A, Barceló JG, Novela G. Revista de Métodos Cuantitativos para la Economía y la Empresa. Revista de Métodos Cuantitativos para laEconomía y la Empresa. 2016;24:129–46. http://www.redalyc.org/articulo.oa?id=233154079004
29. Kayan Fadlelmula F, Mansoon Qadhi S. A systematic review of research on artificial intelligence in higher education: Practice, gaps, and future directions in the GCC Citation. Journal of University Teaching and Learning Practice. 2024 [cited 2025 Apr 21];(6):21. https://search.informit.org/doi/10.3316/informit.T2024092900003890049678547
30. Vallis C, Wilson S, Gozman D, Buchanan J. Student Perceptions of AI-Generated Avatars in Teaching Business Ethics: We Might not be Impressed. Postdigital Science and Education. 2023 Jun 1;
31. McGrath C, Cerratto Pargman T, Juth N, Palmgren PJ. University teachers’ perceptions of responsibility and artificial intelligence in higher education - An experimental philosophical study. Computers and Education: Artificial Intelligence. 2023 Jan 1;4.
32. Garcés-Angúlo J, Agular-Chasipanta W, Rodriguez-Bermeo S, Burbano-Padilla C. Impacto de la Inteligencia Artificial en la Educación Superior. Dominio de las Ciencias. 2024;10:983–95. http://dominiodelasciencias.com/ojs/index.php/es/indexhttps://orcid.org/0009-0006-3854-7900
33. Ifenthaler D, Majumdar R, Gorissen P, Judge M, Mishra S, Raffaghelli J, et al. Artificial Intelligence in Education: Implications for Policymakers, Researchers, and Practitioners. Technology, Knowledge and Learning. 2024 Dec 1;
34. Korzynski P, Mazurek G, Altmann A, Ejdys J, Kazlauskaite R, Paliszkiewicz J, et al. Generative artificial intelligence as a new context for management theories: analysis of ChatGPT. Central European Management Journal. 2023 May 30;31(1):3–13.
35. Dwivedi YK, Hughes L, Ismagilova E, Aarts G, Coombs C, Crick T, et al. Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. Int J Inf Manage. 2021 Apr 1;57.
36. Sysoyev P V. Ethics and AI-Plagiarism in an Academic Environment: Students’ Understanding of Compliance with Author’s Ethics and the Problem of Plagiarism in the Process of Interaction with Generative Artificial Intelligence. Vysshee Obrazovanie v Rossii. 2024;33(2):31–53.
37. Fu Y, Weng Z. Navigating the ethical terrain of AI in education: A systematic review on framing responsible human-centered AI practices. Computers and Education: Artificial Intelligence. 2024 Dec 1;7.
38. Wu D, Chen M, Chen X, Liu X. Analyzing K-12 AI education: A large language model study of classroom instruction on learning theories, pedagogy, tools, and AI literacy. Computers and Education: Artificial Intelligence. 2024 Dec;7:100295. https://linkinghub.elsevier.com/retrieve/pii/S2666920X24000985.
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Copyright (c) 2025 Darwin Marcelo, Varela Lascano, Tania Lisbeth Chicaiza Zambrano, Eduardo Xavier, Macías Collahuazo, Yordan Ernesto, Calero Ocaña (Author)

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