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On-line monitoring during study can be influenced by the relatedness shared between the cue and target of a paired associate. We examined the effects on people's judgements of learning (JOLs) of a different kind of relatedness, which occurs in a list organised into sets of categorically related words and unrelated words. In two experiments, participants studied a list of words organised into a series of sets of four categorically related words or four unrelated words. In Experiment 1, JOLs were made immediately after each word had been studied, and JOL magnitude was greater for related than unrelated words. In Experiment 2, JOLs were delayed after study and, as expected, they were substantially greater for related sets of words. Serial position effects (an increase in JOL magnitude across the words of a related set) were evident with immediate JOLs but not with delayed JOLs. The relatedness effect was not present early in the list for immediate JOLs but was present throughout the list for delayed JOLs. We conclude by discussing some preliminary explanations for these new phenomena.
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http://dx.doi.org/10.1080/09658210500216844 | DOI Listing |
Ann Biomed Eng
September 2025
Department of Midwifery, Faculty of Health Sciences, Sakarya University, 54100, Sakarya, Turkey.
The incorporation of AI-supported language models into the healthcare sector holds significant potential to revolutionize nursing education, research, and clinical practice. Within this framework, ChatGPT has emerged as a valuable tool for personalizing educational materials, enhancing academic productivity, expediting clinical decision-making processes, and optimizing research efficiency. In the realm of nursing education, ChatGPT offers numerous advantages, including the preparation of course content, facilitation of student assessments, and the development of simulation-based learning environments.
View Article and Find Full Text PDFIntroduction: Effective triage in the emergency department (ED) is essential for optimizing resource allocation, improving efficiency, and enhancing patient outcomes. Conventional systems rely heavily on clinical judgment and standardized guidelines, which may be insufficient under growing patient volumes and increasingly complex presentations.
Methods: We developed a machine learning triage model, MIGWO-XGBOOST, which incorporates a Multi-strategy Improved Gray Wolf Optimization (MIGWO) algorithm for parameter tuning.
JB JS Open Access
September 2025
Department of Orthopedics and Rehabilitation, University of Iowa, Iowa City, Iowa.
Introduction: Modern orthopaedic residency training increasingly integrates knowledge, skills, and behavior (KSB), in line with updated American Board of Orthopaedic Surgery (ABOS) and Accreditation Council for Graduate Medical Education (ACGME) guidelines. Developments in simulation technology-including high-fidelity simulators, virtual reality, and data-driven assessment tools-enable programs to target both technical and non-technical competencies. This paper examines how innovations in simulation, curriculum design, and performance assessment are shaping the future of orthopaedic education.
View Article and Find Full Text PDFArch Psychiatr Nurs
October 2025
College of Nursing, Auburn University, 710 South Donahue Drive, Auburn, AL 36849, United States of America. Electronic address:
This study investigates the integration of Virtual Reality Simulation (VRS) in undergraduate mental health nursing education. Utilizing SPSS, data from Qualtrics were analyzed for reliability and research questions. Results demonstrate that VRS significantly enhances students' self-efficacy, clinical judgment, and therapeutic communication skills.
View Article and Find Full Text PDF