Self-directed learning denotes that the individual is in command of what should be learned and why it is important. In this study, guidelines for the design of Web 2.0 systems for supporting diabetic adolescents' every day learning needs are examined in light of theories about information behaviour and social learning. A Web 2.0 system was developed to support a community of practice and social learning structures were created to support building of relations between members on several levels in the community. The features of the system included access to participation in the culture of diabetes management practice, entry to information about the community and about what needs to be learned to be a full practitioner or respected member in the community, and free sharing of information, narratives and experience-based knowledge. After integration with the key elements derived from theories of information behaviour, a preliminary design guideline document was formulated.
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http://dx.doi.org/10.1007/s10916-008-9222-0 | DOI Listing |
Curr Res Transl Med
January 2025
Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom; Faculty of Medicine, Health and Social Care, Canterbury Christ Church University, United Kingdom.
This narrative review examines the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in organ retrieval and transplantation. AI and ML technologies enhance donor-recipient matching by integrating and analyzing complex datasets encompassing clinical, genetic, and demographic information, leading to more precise organ allocation and improved transplant success rates. In surgical planning, AI-driven image analysis automates organ segmentation, identifies critical anatomical features, and predicts surgical outcomes, aiding pre-operative planning and reducing intraoperative risks.
View Article and Find Full Text PDFNursing
December 2024
At the York College of Pennsylvania, Jenna Davis is an assistant professor. She serves as the course coordinator for the Basic Principles course and teaches in the NCLEX support course. Carrie Pucino is an associate professor at York College of Pennsylvania. She has served as a leader in developing and improving the York College NCLEX Preparation Program, revising and teaching in the NCLEX support course, and providing one-to-one NCLEX coaching for high-risk students.
Purpose: To explore perceptions of student learning in undergraduate nursing students who repeat the fundamentals nursing course and simultaneously take a support course.
Methods: This qualitative descriptive design was conducted at one private liberal arts college. The study included interviews with six undergraduate baccalaureate nursing students repeating the fundamentals course and their perceptions following the repeated course.
Healthcare (Basel)
December 2024
Department of Computer Science, School of Arts, Humanities and Social Sciences, University of Roehampton, London SW15 5PH, UK.
: Diabetes is a metabolic disorder characterized by increased blood sugar levels. Early detection of diabetes could help individuals to manage and delay the progression of this disorder effectively. Machine learning (ML) methods are important in forecasting the progression and diagnosis of different medical problems with better accuracy.
View Article and Find Full Text PDFClin Linguist Phon
January 2025
Département de Logopédie, RUCHE, Université de Liège, Liège, Belgique.
Speech sound disorders (SSD) are associated with difficulties in communication, social participation, literacy, and learning. An early identification process is therefore necessary. Our study was aimed at determining the utility and accuracy of parent's and teacher's concerns in screening for SSD.
View Article and Find Full Text PDFJ Glob Health
January 2025
Medical-surgical Nursing Department, Faculty of Nursing, Cairo University, Cairo, Egypt.
Background: We aimed to identify the central lifestyle, the most impactful among lifestyle factor clusters; the central health outcome, the most impactful among health outcome clusters; and the bridge lifestyle, the most strongly connected to health outcome clusters, across 29 countries to optimise resource allocation for local holistic health improvements.
Methods: From July 2020 to August 2021, we surveyed 16 461 adults across 29 countries who self-reported changes in 18 lifestyle factors and 13 health outcomes due to the pandemic. Three networks were generated by network analysis for each country: lifestyle, health outcome, and bridge networks.
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