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Background: Self-directed, lifelong learning is essential for nurses' competence in complex healthcare environments, which are characterised by rapid advancements in medicine and technology and nursing shortages. Previous studies have demonstrated that ChatGPT technology fosters self-directed learning by motivating users to engage with it.
Objectives: To explore the relationships amongst socio-demographic data, attitudes towards ChatGPT use, and self-directed learning amongst registered nurses in Taiwan.
Methods: A cross-sectional study design with an online survey was adopted. Registered nurses from various healthcare settings were recruited through Facebook and LINE, a widely used messaging application in East Asia, reaching over 1000 nurses across five distinct online groups. An online survey was used to collect data, including socio-demographic characteristics, attitudes towards ChatGPT use, and a self-directed learning scale. Data were analysed using descriptive statistical methods, t-tests, Pearson's correlation, one-way analysis of variance, and multiple linear regression analysis.
Results: Amongst the 330 participants, 50.6% worked in hospitals, 51.8% had more than 15 years of work experience, and 78.2% did not hold supervisory positions. Of the participants, 46.7% had used ChatGPT. For all nurses, work experience and awareness of ChatGPT statistically significantly predicted self-directed learning, explaining 32.0% of the variance. For those familiar with ChatGPT, work experience in nursing and the technological/social influence of ChatGPT statistically significantly predicted self-directed learning, explaining 35.3% of the variance.
Conclusions: Work experience in nursing provides critical opportunities for professional development and training. Therefore, ChatGPT-supported self-directed learning should be customised for degrees of experience to optimise continuous education.
Implications For Nursing Management And Health Policy: This study explores nurses' diverse use of and attitudes towards ChatGPT for self-directed learning. It suggests that administrators customise support and training when incorporating ChatGPT into professional development, accounting for nurses' varied experiences to enhance learning outcomes.
Patient Or Public Contribution: No patient or public contribution.
Reporting Method: This study adhered to the relevant cross-sectional STROBE guidelines.
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http://dx.doi.org/10.1111/jan.16519 | DOI Listing |
Memory
September 2025
Department of Psychology, University of Trier, Trier, Germany.
Recognition memory is typically better for items learned after a free choice (independent of study material) than after a forced choice. However, previous studies presented to-be-remembered items in isolation, whereas everyday learning often occurs alongside distractors. Therefore, this study investigated the effect of free versus forced choice on recognition memory in a learning situation with both relevant (to-be-remembered) and irrelevant (to-be-ignored) items.
View Article and Find Full Text PDFJ Allied Health
September 2025
Dep. of Medical Education, East Tennessee State University Quillen College of Medicine, PO Box 70582, Johnson City, TN 37614, USA.
Introduction: Educational approaches used in distance learning courses may be applicable to interprofessional education (IPE) simulation events to promote student engagement and learning.
Methods: Various strategies known to be effective when teaching online courses (real world applications, self-directed learning, reliance on previous life experiences, communities of practice, and emotional engagement) were incorporated into an interprofessional simulation event. Learning outcomes were captured quantitatively through student ratings of learning objective accomplishment and qualitatively through thematic analyses of learner reflections.
Anat Sci Educ
September 2025
Department of Neurobiology, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, Utah, USA.
Active learning strategies enhance medical education by fostering self-directed learning, communication, and problem-solving skills. The paper puzzle, a game-based learning approach, provides an engaging way to reinforce anatomical knowledge and promote collaboration. This study assessed its impact on student performance and perceptions in clinical anatomy, comparing it to PowerPoint-based imaging reviews and evaluating the role of Near Peer Teachers (NPTs).
View Article and Find Full Text PDFInt J Nurs Pract
October 2025
Department of Respiratory Medicine, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China.
Aim: To investigate the effects of integrating standardized patients with the situational simulation teaching method (SSTM) on nursing interns' learning outcomes, work capabilities and engagement in the respiratory department.
Background: Traditional simulation methods may lack realism and interactivity. Combining standardized patients with SSTM may provide a more immersive and effective teaching strategy.
Integr Med Res
December 2025
College of Korean Medicine, Sangji University, Wonju, Republic of Korea.
Background: This study aimed to examine the usage, awareness, and satisfaction related to generative AI (GenAI) among undergraduate students at a Traditional Korean Medicine (TKM) college in Korea and to identify factors associated with GenAI use and satisfaction.
Methods: A structured questionnaire consisting of 56 items across six domains was administered, covering demographics, general and TKM-specific GenAI use, satisfaction, educational experiences, and future expectations. Descriptive statistics, univariable analysis, multivariable logistic regression, and correlation analysis were performed.