IJIET 2025 Vol.15(5): 965-975
doi: 10.18178/ijiet.2025.15.5.2303
doi: 10.18178/ijiet.2025.15.5.2303
The Influence of Education Using Artificial Intelligence Technologies on the Formation of Moral Behavior and Self-Efficacy in Medical Students
Nataliya Kasimovskaya*, Elena Fomina, Olga Morugina, Olga Malkina,
Mariya Zhukova, and
Tatyana Biryukova
Department of Nursing Management and Social Work, Sechenov First Moscow State Medical University (Sechenov University),
Moscow, Russia
Email: n.kasimovskaya@onmail.com (N.K.); fomina_el@outlook.com (E.F.); olmorugina@outlook.com (O.M.); malk_ol@outlook.com (O.M.); mrzhukova@outlook.com (M.Z.); biryukovatat@outlook.com (T.B.)
*Corresponding author
Email: n.kasimovskaya@onmail.com (N.K.); fomina_el@outlook.com (E.F.); olmorugina@outlook.com (O.M.); malk_ol@outlook.com (O.M.); mrzhukova@outlook.com (M.Z.); biryukovatat@outlook.com (T.B.)
*Corresponding author
Manuscript received November 8, 2024; revised December 11, 2024; accepted February 10, 2025; published May 16, 2025
Abstract—This article examines the specific features of moral education in medical professionals. The aim of the study is to assess the impact of Artificial Intelligence (AI) technologies on the formation of moral behavior and self-efficacy among students, as well as to investigate the factors that contribute to or hinder the professional self-actualization of medical workers and their strategies for coping with occupational stress. The study employed testing and interview methods. A total of 150 medical professionals participated in the experiment. Participants were randomly divided into two groups: an experimental group, which was trained using artificial intelligence, and a control group, which followed traditional learning methods. For the experimental group, interactive artificial intelligence modeling was utilized, incorporating AI Assistants along with the Augmented Reality (AR) application HoloHuman. Students engaged with AI through the HoloLens headset. The study revealed that the use of AI increased academic performance by 13% compared to 4% in the control group, moral behavior by 17.1% compared to 2.9%, and self-efficacy by 17.6% compared to 2.9%. The results of paired t-tests confirmed statistically significant improvements in both groups, although the experimental group demonstrated a more pronounced progress. Among the factors negatively affecting the efficiency and psychological well-being of medical professionals was the issue of complex relationships with colleagues. The practical significance of this study lies in its provision of valuable insights for improving working conditions and fostering the professional development of medical workers. The contribution of this study lies in confirming the effectiveness of artificial intelligence in enhancing students’ academic performance, moral behavior, and self-efficacy in medical education. It highlights the comprehensive impact of innovative technologies not only on knowledge acquisition but also on the ethical and psychological development of students, thereby broadening the understanding of the role of artificial intelligence in shaping the modern educational environment.
Keywords—Artificial Intelligence (AI), deontology, innovative education, innovative technologies, medical universities, morality
Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Keywords—Artificial Intelligence (AI), deontology, innovative education, innovative technologies, medical universities, morality
Cite: Nataliya Kasimovskaya, Elena Fomina, Olga Morugina, Olga Malkina, Mariya Zhukova, and Tatyana Biryukova, "The Influence of Education Using Artificial Intelligence Technologies on the Formation of Moral Behavior and Self-Efficacy in Medical Students," International Journal of Information and Education Technology, vol. 15, no. 5, pp. 965-975, 2025.
Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).