AI-Powered Pedagogy to Enhance Reflective Thinking, Emotional Competence, and Clinical Embeddedness in University Students
Abstract
Background: Given the centrality of AI in the learning and clinical paradigms of nursing students, it is essential to investigate its impact on their mental mastery.
Aim: To determine the effect of AI-driven smart learning platforms on reflective thinking, emotional competence, and clinical embeddedness among nursing students.
Methods: A randomized controlled trial design was employed with 142 nursing students who completed a survey assessing the measured constructs. The intervention group participated in a structured, intensive training program delivered entirely online via the Curipod smart platform, while the control group received conventional lectures supplemented with PowerPoint presentations and textbooks.
Results: The intervention group showed significant improvements in reflective thinking, emotional competence, and clinical embeddedness compared to the control group at T2, with gains maintained at T3. Effect sizes ranged from moderate to large, demonstrating the robustness and consistency of the intervention's impact (d = 0.301–0.800).
Conclusion: AI-driven smart learning platforms significantly enhanced nursing students' cognitive, emotional, and clinical competencies. These findings support the integration of AI-enhanced learning strategies to advance nursing education and professional preparedness.
Introduction
The adoption of artificial intelligence (AI) represents a transformative shift in the rapidly evolving field of education, introducing innovative teaching and learning approaches. Leveraging these advancements, Curipod, an AI-driven smart learning platform, provides interactive lessons, adaptive feedback, and simulation-based activities. Its distinctive features—including real-time polls, word-cloud brainstorming, and personalized learning pathways—position it as a versatile tool for fostering both cognitive and emotional competencies in clinical education.
AI has shown considerable potential in offering timely support to university students, improving both their educational outcomes and overall experiences. According to a recent report by the Digital Education Council (2024), 86% of students regularly use AI in their studies, with 54% engaging with these tools on a weekly basis.
In psychiatric nursing curricula, the advent of AI-driven smart learning platforms, powered by technological advancements and machine learning algorithms, fosters deeper cognitive engagement and reflective thinking. Reflective thinking is a critical component of higher-order cognition, enabling learners to analyze, evaluate, and synthesize information to develop deeper insights and problem-solving abilities.
Design
A randomized controlled trial design was adopted to compare the effectiveness of the Curipod platform application with traditional educational methods. Data collection was conducted from March 2025 to May 2025 at the Faculty of Nursing, Beni-Suef University, Egypt.
A simple random allocation method was employed to assign eligible participants to either the intervention or control group. Students were explicitly informed that their decision to participate or decline would not affect their academic standing.
Results
Around three quarters of the studied group were below 23 years (78.9%) and from rural areas (73.9%). When analyzing the baseline stage before intervention (T1), the scores were similar between groups, indicating no initial significant differences.
The intervention group showed significant improvements in reflective thinking, emotional competence, and clinical embeddedness compared to the control group at T2, with gains maintained at T3. Effect sizes ranged from moderate to large, demonstrating the robustness and consistency of the intervention's impact (d = 0.301–0.800).
Discussion
The adoption of artificial intelligence (AI) tools in nursing education is transforming the academic journey of students by enhancing their learning capabilities, supporting professional development, and facilitating continuing education. AI-driven applications play a critical role in preparing nursing students for future clinical responsibilities by promoting the mastery of core competencies essential for safe and effective practice.
Conclusion
The intervention significantly enhanced nursing students' core outcomes in reflective thinking, emotional competence, and clinical embeddedness. Future research should include a wider range of academic disciplines and adopt a randomized controlled trial (RCT) nested within a mixed-methods design to comprehensively capture students' experiences across diverse nursing courses. Insights from such research could guide educational policymakers in adopting AI-enhanced learning strategies that support professional preparedness.
Eweida, R. S., Altheeb, M., Elsehrawy, M. G., Ali, H. A. A. E. H., Soliman, M. W., & Sorour, D. M. (2025). AI-Powered pedagogy to enhance reflective thinking, emotional competence, and clinical embeddedness in university students: An RCT study. Teaching and Learning in Nursing. In Press.
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