Clinical Research Directory

Effects of Concept Mapping and AI Dialogue on Flow and Learning Outcomes in Simulation-Based Learning

This mixed-methods educational study evaluates the integration of concept mapping and artificial intelligence (AI)-supported dialogue into simulation-based learning for nursing students. The learning activities include structured pre-class preparation, concept mapping, AI-supported dialogue using ChatGPT, and participation in simulated clinical scenarios. The study examines students' flow experience, defined as a state of focused engagement, and their learning outcomes. Quantitative assessments are used to examine critical thinking, self-efficacy, communication skills, and other learning outcomes specified in the study protocol. Interviews and observations are used to explore students' learning processes and experiences. The study also examines whether individual characteristics, including openness and self-efficacy, are associated with learning practices, flow experience, and learning outcomes.

AI-Assisted Adaptive Simulation in Physiology Education

This randomized controlled trial evaluated whether an AI-assisted, rule-based adaptive screen-based simulation module could improve physiology learning outcomes among undergraduate health science students compared with conventional instruction. A total of 672 students from Physiotherapy, Occupational Therapy, Nursing, and Allied Health Sciences were randomly assigned in a 1:1 ratio to either the adaptive simulation group or the conventional teaching group. The intervention used web-based clinical physiology cases with algorithm-supported case sequencing, automated formative feedback, and structured faculty-led debriefing, while the control group received standard lectures, textbook reading, tutorial sessions, and laboratory practicals. The primary outcomes were physiological knowledge and reasoning ability, and the secondary outcomes were conceptual understanding, engagement, cognitive load, and academic self-efficacy. Assessments were performed at baseline, immediately after the 12-week intervention, and again at four-week follow-up.

High-Fidelity Simulation and Longitudinal Outcomes in Novice Nurses (HFS-NOVA)

This study examined whether high-fidelity simulation (HFS) training - a realistic, hands-on learning method using advanced patient mannequins - can improve both technical skills and psychological well-being in newly graduated nurses. Seventy novice nurses at a tertiary medical centre in Taiwan participated in a structured HFS session focused on airway crisis management. Six outcomes were measured at three time points: before training (T1), immediately after training (T2), and three months later (T3). These outcomes included: airway management knowledge, clinical performance, learning attitude, self-efficacy (confidence in clinical abilities), nursing learning resilience (ability to cope with professional challenges), and psychological well-being.