Enhancing learning outcomes through AI-driven simulation in nursing education: A systematic review
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Interactive communication between the AI system and learners enables repeated practice of medication administration across diverse situations.
“Moreover, interactive communication between the AI system and learners enables repeated practice of medication administration across diverse situations [15].”
Learners' immersion may be influenced by their familiarity with digital technologies and characteristics of the learning environment.
“Although AI technology can provide new opportunities for participation, learners’ immersion may be influenced by their familiarity with digital technologies and characteristics of the learning environment [15].”
The integration of AI-based simulation with subsequent real-world simulation may support the development of PMSC among nursing students by providing opportunities for both experiential practice and applied skill reinforcement.
“In addition, the integration of AI-based simulation with subsequent real-world simulation may support the development of pediatric medication safety competence (PMSC) among nursing students by providing opportunities for both experiential practice and applied skill reinforcement [15].”
Educational approaches that integrate medication calculation, safe administration, clinical decision-making, and communication are essential for competency development.
“As educational approaches that integrate those elements are essential for competency development, this intervention was designed to integrate these components through AI-based virtual simulation and experiential learning activities [15,31].”
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- Authors
- Sengul, T., & Sarıköse, S.
- Affiliations
- Koç University (TR)
- Corresponding author
- Sarıköse, Seda
- Venue
- Clinical Simulation in Nursing
- Publisher
- Elsevier BV
- Published
- 2025-09
- Volume
- 106
- Pages
- 101797
- ISSN
- 1876-1399 (ISSN-L)
- OpenAlex
- W7077146653
- Cited by
- 32
- References
- 31
- Citations by year
- 2026: 31 · 2025: 1
- FWCI
- 4.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinical Simulation in Nursing (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Simulation-Based Education in Healthcare
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Surgery › Surgical Simulation and Training
- Keywords
- artificial intelligence, AI-driven simulation, simulation-based nursing education, learning outcomes, clinical reasoning, self-efficacy, empathy, student satisfaction, student engagement, communication skills, knowledge acquisition
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