ORIGINAL RESEARCH article
Front. Educ.
Sec. Digital Education
This article is part of the Research TopicThe Transformative Impact of Digital Tools on Quality Education and Sustainable DevelopmentView all 11 articles
Evaluation of a Digital Intelligence Emergency Scenario-based Training System in the Teaching of Undergraduate Intern Nurses
Provisionally accepted
- Qilu Hospital, Shandong University, Jinan, China
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Aim: This study evaluated the effectiveness of a digital intelligence emergency scenario-based training system in improving CPR education for undergraduate nursing interns. Design: A single-blind randomized controlled trial conducted. Methods: A randomized controlled trial was conducted with 106 nursing interns in a university hospital in Shandong, China. Participants were assigned to either traditional training or combined digital scenario-based training. Results: The intervention group demonstrated significantly higher scores in cardiopulmonary resuscitation (CPR) skills assessment (95.12 ± 1.55 vs. 92.22 ± 2.58, p < 0.001), alongside improvements in Critical Thinking Skills ,Nursing students' learning attitude ,Autonomous learning capacity ,Medical education environment. No significant difference was observed in theoretical knowledge scores (p = 0.355). Patient or Public Contribution: No patients were involved in this study. However, 106 undergraduate nursing interns actively participated in all training sessions, assessments, and post-intervention debriefings. Their engagement provided real-time operational feedback and perceived utility evaluations, which contributed directly to the refinement of the training scenarios and technical optimization of the DIVERTS platform. All participants provided written informed consent prior to enrollment. Implications for the Profession and Patient Care: This study demonstrates that integrating digital intelligence simulation into nursing education significantly enhances interns ' clinical competencies and learning engagement. Widespread adoption of such technology can accelerate the transition from theoretical knowledge to practical expertise, ultimately strengthening the nursing workforce. For patient care, better-trained nurses equipped with refined critical thinking and autonomous learning skills are likely to deliver higher-quality, safer emergency interventions, potentially improving resuscitation outcomes and patient survival rates in real clinical settings.
Keywords: digital intelligence training, emergency scenario-based training system, High-quality cardiopulmonary resuscitation, nursing students, virtual reality
Received: 05 Jan 2026; Accepted: 09 Feb 2026.
Copyright: © 2026 Wang, Liu and Jiang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Mei Jiang
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