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Introduction: The COVID-19 pandemic forced educational institutions worldwide to shift to online learning as a means to continue education during lockdowns and social distancing measures. This study investigates the effectiveness of online learning in comparison to traditional on-campus learning, specifically within the context of medical education.
Methods: Two hundred and three first- and second-year medical students at King Saud University participated in this randomized experimental study. The research employed written exams to evaluate learning outcomes, with a focus on the understanding of lecture content. Data analysis was performed using the Statistical Package for Social Studies (SPSS 22).
Results: The findings reveal that while online learning attained similar learning outcomes to on-campus learning for content related to the early parts of the lecture, significantly lower outcomes were achieved by the online learners as the lecture progressed. Moreover, a smaller percentage of online students demonstrated a full understanding of the lecture material compared to on-campus students.
Conclusion: This study emphasizes the importance of assessing the effectiveness of online learning methods, particularly in medical education, to address students' needs better and improve the quality of online learning systems.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11586119 | PMC |
http://dx.doi.org/10.2147/AMEP.S444830 | DOI Listing |
Arq Gastroenterol
September 2025
Faculdade de Medicina da Universidade de São Paulo, Departamento de Gastroenterologia, São Paulo, SP, Brasil.
Background: Accurate evaluation of the invasion depth of superficial esophageal squamous cell carcinoma (SESCC) is crucial for optimal treatment. While magnifying endoscopy (ME) using the Japanese Esophageal Society (JES) classification is reported as the most accurate method to predict invasion depth, its efficacy has not been tested in the Western world. This study aims to evaluate the interobserver agreement of the JES classification for SESCC and its accuracy in estimating invasion depth in a Brazilian tertiary hospital.
View Article and Find Full Text PDFPhys Rev Lett
August 2025
Northeastern University, Department of Physics, Center for Theoretical Biological Physics, Boston, Massachusetts 02115, USA.
Sparse connectivity is a hallmark of the brain and a desired property of artificial neural networks. It promotes energy efficiency, simplifies training, and enhances the robustness of network function. Thus, a detailed understanding of how to achieve sparsity without jeopardizing network performance is beneficial for neuroscience, deep learning, and neuromorphic computing applications.
View Article and Find Full Text PDFPLoS One
September 2025
Institute of Primary Care, University Hospital of Zurich, Zurich, Switzerland.
Background: In sports science, freestyle swimming has been thoroughly studied for particular performance-related factors. Nonetheless, it is unknown what countries the top freestyle swimmers are from, especially not for age group swimmers. In addition, the existing research on the performance of master freestyle swimmers has yet to confirm that male swimmers achieve faster times than their female counterparts across all age groups and distances.
View Article and Find Full Text PDFBioinformatics
September 2025
The Second Affiliated Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Motivation: Drug repositioning presents a streamlined and cost-efficient way to expand the range of therapeutic possibilities. Drugs with human genetic evidence are more likely to advance successfully through clinical trials towards FDA approval. Single gene-based drug repositioning methods have been implemented, but approaches leveraging a broad spectrum of molecular signatures remain underexplored.
View Article and Find Full Text PDF