Introduction/background: Course evaluation in health education is a common practice yet few comprehensive evaluations of health education exist that measure the impact and outcomes these programs have on developing health graduate capabilities.
Aim/objectives: To explore how curricula contribute to health graduate capabilities and what factors contribute to the development of these capabilities.
Methods: Using contribution analysis evaluation, a six-step iterative process, key stakeholders in the six selected courses were engaged in an iterative theory-driven evaluation. The researchers collectively developed a postulated theory-of-change. Then evidence from existing relevant documents were extracted using documentary analysis. Collated findings were presented to academic staff, industry representatives and graduates, where additional data was sought through focus group discussions - one for each discipline. The focus group data were used to validate the theory-of-change. Data analysis was conducted iteratively, refining the theory of change from one course to the next.
Results: The complexity in teaching and learning, contributed by human, organizational and curriculum factors was highlighted. Advances in knowledge, skills, attitudes and graduate capabilities are non-linear and integrated into curriculum. Work integrated learning significantly contributes to knowledge consolidation and forming professional identities for health professional courses. Workplace culture and educators' passion impact on the quality of teaching and learning yet are rarely considered as evidence of impact.
Discussion: Capturing the episodic and contextual learning moments is important to describe success and for reflection for improvement. Evidence of impact of elements of courses on future graduate capabilities was limited with the focus of evaluation data on satisfaction.
Conclusion: Contribution analysis has been a useful evaluation method to explore the complexity of the factors in learning and teaching that influence graduate capabilities in health-related courses.
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http://dx.doi.org/10.3389/fmed.2023.1146832 | DOI Listing |
J Prosthet Dent
January 2025
Professor and Chairman, Department of Prosthodontics, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, United States. Electronic address:
Statement Of Problem: Information on predicting the measurements of the nose from selected facial landmarks to assist in maxillofacial prosthodontics is lacking.
Purpose: The objective of this study was to identify the efficiency of machine learning models in predicting the length and width of the nose from selected facial landmarks.
Material And Methods: Two-dimensional frontal and lateral photographs were made of 100 men and 100 women.
BMC Bioinformatics
January 2025
MOE Key Laboratory for Industrial Biocatalysis, Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China.
Background: CRISPRi screening has become a powerful approach for functional genomic research. However, the off-target effects resulting from the mismatch tolerance between sgRNAs and their intended targets is a primary concern in CRISPRi applications.
Results: We introduce Guide Library Designer (GLiDe), a web-based tool specifically created for the genome-scale design of sgRNA libraries tailored for CRISPRi screening in prokaryotic organisms.
Nat Comput Sci
January 2025
AI for Science (AI4S)-Preferred Program, Peking University Shenzhen Graduate School, Shenzhen, China.
Electronic circular dichroism (ECD) spectra contain key information about molecular chirality by discriminating the absolute configurations of chiral molecules, which is crucial in asymmetric organic synthesis and the drug industry. However, existing predictive approaches lack the consideration of ECD spectra owing to the data scarcity and the limited interpretability to achieve trustworthy prediction. Here we establish a large-scale dataset for chiral molecular ECD spectra and propose ECDFormer for accurate and interpretable ECD spectrum prediction.
View Article and Find Full Text PDFBiomed Pharmacother
January 2025
Department of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran.
The inherent limitations of traditional treatments for Diabetic Retinopathy (DR) have spurred the development of various nanotechnologies, offering a safer and more efficient approach to managing the disease. Nanomedicine platforms present promising advancements in the diagnosis and treatment of DR by enhancing imaging capabilities, enabling targeted and controlled drug delivery. These innovations ultimately lead to more effective and personalized treatments with fewer side effects.
View Article and Find Full Text PDFPLoS Genet
January 2025
Department of Biology, Boston University, Boston Massachusetts, United States of America.
The death and clearance of nurse cells is a consequential milestone in Drosophila melanogaster oogenesis. In preparation for oviposition, the germline-derived nurse cells bequeath to the developing oocyte all their cytoplasmic contents and undergo programmed cell death. The death of the nurse cells is controlled non-autonomously and is precipitated by epithelial follicle cells of somatic origin acquiring a squamous morphology and acidifying the nurse cells externally.
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