Effect of Interactive Cardiovascular Scenario-Based Learning Using Artificial Intelligence on Nursing Students’ Achievement. | ||||
| Alexandria Scientific Nursing Journal | ||||
| Volume 27, Issue 2, June 2025, Page 228-239 PDF (248.53 K) | ||||
| Document Type: Research articles | ||||
| DOI: 10.21608/asalexu.2025.429972 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Mohamed Fakhry Ahmed Salem* 1; Sanaa Alaa El-Din2; Nabila Ahmed Bedier3; Shadia Ramadan Morsy4; Christine Raouf Saad Basta5 | ||||
| 1Assistant Lecturer Medical Surgical Nursing, Faculty of Nursing, Alexandria University | ||||
| 2Professor Emeritus Medical Surgical Nursing, Faculty of Nursing, Alexandria University. | ||||
| 3Professor Emeritus Medical Surgical Nursing, Faculty of Nursing, Alexandria University | ||||
| 4Assistant Professor Nursing Education, Faculty of Nursing, Alexandria University. | ||||
| 5Lecturer Computer Science, Faculty of Computer and Data Science, Alexandria University. | ||||
| Abstract | ||||
| Background: Cardiovascular disorders and conditions are a leading global health challenge, requiring proficient skills of clinical decision-making. Applying traditional teaching methods often lack the interaction and real-world application. Integrating of artificial intelligence (AI) into scenario-based learning enhances critical thinking and clinical decision-making by providing realistic, dynamic, and personalized simulations for medical – surgical nursing students. Objective: To design an interactive cardiovascular scenario-based learning using artificial intelligence for medical - surgical nursing students at the Faculty of Nursing, Alexandria University. To determine the effect of interactive cardiovascular scenario-based learning using artificial intelligence on medical - surgical nursing students’ achievement. Settings: This study was conducted in the skill laboratory of the Medical-Surgical Nursing department at the Faculty of Nursing, Alexandria University. Lab accommodates approximately 80 students and is equipped with an interactive panel. Subjects: Subjects of this study comprised a convenient sample of 150 Medical-Surgical Nursing students, who enrolled in the "Medical Surgical Nursing course". Students randomly divided into two groups of equal size: the control and study group. Tools: One tool was utilized for data collection in this study namely “Medical - Surgical Nursing Students’ Achievement Questionnaire”. Results: The study and control groups showed a statistically significant difference in relation to posttest knowledge level in understanding across the domains of cardiovascular assessment and ECG, and Overall Observational checklists in their performance levels. Conclusion: The study concluded that there were statistically significant differences in post-test knowledge levels between the control and study groups. Additionally, a comparison of the post-test scores of overall observational checklists revealed significant differences in performance levels between the two groups. Moreover, a significant relationship was identified between total knowledge and variables such as CGPA and computer skills. Experience in using artificial intelligence software was found to enhance these outcomes Recommendations: Encourage collaboration between nursing educators, AI developers, and healthcare professionals to design realistic and impactful simulations focused on nursing interventions | ||||
| Keywords | ||||
| Artificial intelligence; scenario-based learning; Medical Surgical Nursing students; clinical achievement | ||||
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