The Development and Impact of a Respiratory Patient Care Mobile Application on Nursing Students

This study aimed to develop a virtual experiential application for respiratory patient care and evaluate its impact on nursing students' knowledge, self-efficacy, clinical practice anxiety, and performance confidence. This application with gamification elements was developed following a structured approach encompassing assessment, design, development, implementation, and evaluation. The experimental group consisted of 21 third-year university students who engaged with the application multiple times a day for 1 week; the control group, comprising 21 students, received traditional prelearning. Data were collected 1 week before and immediately before the clinical practice commencement, from March 7 to 24, 2023, using an online survey. Nursing knowledge, self-efficacy, clinical practice anxiety, and performance confidence were evaluated. Significant improvements were observed in the experimental group's knowledge of respiratory patient care, self-efficacy, clinical practice anxiety, and performance confidence. The application proved to be an effective learning resource and assisted students in implementing the nursing process to enhance patient conditions; it highlighted nursing educators' necessity in developing and evaluating educational content. The developed application was effective in enhancing student nurses' competence and confidence, affecting nursing education and patient care.

The Impact of Artificial Intelligence-Assisted Learning on Nursing Students' Ethical Decision-making and Clinical Reasoning in Pediatric Care: A Quasi-Experimental Study

The integration of artificial intelligence such as ChatGPT into educational frameworks marks a pivotal transformation in teaching. This quasi-experimental study, conducted in September 2023, aimed to evaluate the effects of artificial intelligence–assisted learning on nursing students' ethical decision-making and clinical reasoning. A total of 99 nursing students enrolled in a pediatric nursing course were randomly divided into two groups: an experimental group that utilized ChatGPT and a control group that used traditional textbooks. The Mann-Whitney U test was employed to assess differences between the groups in two primary outcomes: (a) ethical standards, focusing on the understanding and applying ethical principles, and (b) nursing processes, emphasizing critical thinking skills and integrating evidence-based knowledge. The control group outperformed the experimental group in ethical standards and demonstrated better clinical reasoning in nursing processes. Reflective essays revealed that the experimental group reported lower reliability but higher time efficiency. Despite artificial intelligence's ability to offer diverse perspectives, the findings highlight that educators must supplement artificial intelligence technology with strategies that enhance critical thinking, careful data selection, and source verification. This study suggests a hybrid educational approach combining artificial intelligence with traditional learning methods to bolster nursing students' decision-making processes and clinical reasoning skills.