Information from the abstract
In the context of digital disruption, nursing education requires approaches that integrate digital intelligence (DI) with professional competencies while addressing limitations of traditional simulation-based learning (SBL), which is often resource-intensive and constrained in large classes. This study developed and evaluated “Nurse Sims,” a progressive web application that integrates with an Internet of Things (IoT)-enabled humanoid manikin (ESP32) to support real-time clinical training and automated feedback for nursing students. A four-phase research and development design was employed. Phase 1 assessed learning needs among 462 nursing students in Thailand using questionnaires and PNIModified analysis. Phase 2 involved the development of the SBL model and technological system. Phase 3 evaluated the intervention with 31 nursing students and six instructors using repeated-measures analysis of variance across three assessment points (Situations 1, 3, and 5). Phase 4 involved expert validation of the innovation. Results show a high need for SBL (PNImodified = 0.796). Significant improvements were observed in professional competencies (ηp² = .911) and DI (ηp² = .933) (p < .001). Students reported high acceptance of the system (M = 4.52, SD = 0.49), while experts rated the innovation as highly appropriate (M = 4.76, SD = 0.20). Qualitative feedback indicated improved digital self-efficacy and engagement with technology-enhanced learning. The findings suggest that IoT-integrated simulation systems can enhance nursing competencies, and DI and may serve as a scalable model for nursing education in resource-constrained settings.
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Related topics: Simulation-Based Education in Healthcare · Educational Games and Gamification · Health Education and Validation
Thai researcher and institutional participation
Prakob Koraneekij · Sresuda Wongwiseskul · Chulalongkorn University · Suan Dusit University
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