Effect of Implementing Artificial Intelligence-Based Holographic Learning on Nursing Students' Competence in Leopold's Maneuvers

Anwar Abd El-glil, Asmaa; Mohamed Reda, Doaa; Samir Hassan, Mohamed; Mabrouk Dwedar, Lawahez

doi:10.21608/ejhc.2025.462137

Effect of Implementing Artificial Intelligence-Based Holographic Learning on Nursing Students' Competence in Leopold's Maneuvers

Document Type : Original Article

Authors

¹ Assistant Professor of Obstetrics and Gynecological Health Nursing, Faculty of Nursing, Kafrelsheikh University, Egypt.

² Lecturer in Maternal and Newborn health nursing, Faculty of Nursing, Cairo university

³ MSc Information and Technology, Faculty of Computers and Artificial Intelligence, Helwan University, Egypt

10.21608/ejhc.2025.462137

Abstract

Background: Traditional obstetric training often limits students’ opportunities to practice clinical skills such as Leopold maneuvers due to insufficient patient exposure and inconsistent supervision. Emerging technologies such as Artificial Intelligence (AI) and holographic learning offer immersive, interactive, and adaptive platforms that may enhance students’ knowledge, psychomotor skills, and confidence. Aim: This study aimed to evaluate effect of implementing Artificial Intelligence-Based Holographic Learning on Nursing Students' Competence in Leopold's Maneuvers. Design: A quasi-experimental post-test-only design was conducted with 130 nursing students at Kafrelsheikh University. Students were divided into two groups: a study group (n = 65) trained using AI-based holographic learning and a control group (n = 65) trained conventionally. Data was collected using a structured interviewing questionnaire, an observational checklist for Leopold's maneuvers, Nursing student’s self-confidence questionnaire, and Nursing student’s satisfaction questionnaire. Results: Students in the AI-based holographic group achieved significantly higher scores in knowledge (Mean ±SD = 20.2 ± 5.7 vs. 17.1 ± 5.2, p = 0.002), practice (Mean ±SD = 41.7 ± 13.1 vs. 34.1 ± 14.2, p = 0.002), and self-confidence (Mean ±SD = 11.9 ± 3.4 vs. 8.0 ± 2.4, p < 0.001). Satisfaction was also significantly higher (Mean ±SD = 15.1 ± 5.1 vs. 12.1 ± 5.9, p = 0.002). Conclusion: AI-based holographic learning proved more effective than traditional methods in enhancing knowledge, clinical competence, confidence, and satisfaction regarding Leopold's maneuvers. Recommendations: AI-based holographic learning should be incorporated into midwifery programs as an adjunct to conventional instruction.

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