The use of artificial intelligence in teaching medical students to increase motivation and reduce anxiety during academic practice
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In a randomized study involving 246 medical students, increased motivation was noted among participants who used an AI tool compared with those in the control group.
“In a randomized study involving 246 medical students, both increased motivation and decreased anxiety were noted among participants who used an AI tool compared with those in the control group [154].”
From Artificial intelligence in undergraduate medical education: an updated scoping review (2025) · cites this paper as [154]
In the same randomized study, decreased anxiety was noted among participants who used an AI tool compared with those in the control group.
“In a randomized study involving 246 medical students, both increased motivation and decreased anxiety were noted among participants who used an AI tool compared with those in the control group [154].”
From Artificial intelligence in undergraduate medical education: an updated scoping review (2025) · cites this paper as [154]
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“The use of AI in teaching medical students has been shown to increase motivation and reduce anxiety, thereby enhancing the overall learning environment [55].”
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“These findings match with those in previous studies (Aguilar-Esteva et al., 2023; Beketov et al., 2024; Khan et al., 2021; Kim et al., 2022; Salas-Pilco et al., 2022) that using AI in teaching and learning methods by teachers and students enhances and adds to their social development in various…”
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“24 Ultimately, all these efforts were aimed at comprehensively improving students’ clinical skills; AI, as a powerful auxiliary tool, played a significant role in improving the practical and clinical abilities of the future generation of physicians.”
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Artificial intelligence and academic anxiety? a meta-analysis
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“…to two separate outcome dimensions, including six to both the cognitive and academic dimensions and one to both the social-emotional and academic dimensions (Beketov et al., 2024 ; Bian et al., 2025; Chen et al., 2025 ; Li et al., 2025; Olugbade et al., 2024; Wang et al., 2025 ; Yan et al., 2025).”
- Authors
- Beketov, V., Lebedeva, M., & Taranova, M.
- Affiliations
- Sechenov University (RU)
- Corresponding author
- Beketov, Vladimir
- Venue
- Current Psychology
- Published
- 2023-11-24
- Volume
- 43
- Issue
- 16
- Pages
- 14367-14377
- ISSN
- 1046-1310 (ISSN-L)
- 1936-4733
- OpenAlex
- W4388975197
- Cited by
- 21
- References
- 35
- Citations by year
- 2026: 8 · 2025: 12 · 2024: 1
- FWCI
- 4.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Current Psychology (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- artificial intelligence in education, medical students, student motivation, academic anxiety, clinical practice training, medical education
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