A growing body of scientific evidence suggests that face masks can protect against COVID-19. There is, however, limited rigorous evidence on the extent to which mask-wearing is effective in reducing COVID-19 in a real-life situation with imperfect and inconsistent mask use. In Bangladesh, researchers...
Source: poverty-action.org
Background Medical students must meet curricular expectations and pass national licensing examinations to become physicians. However, no previous studies explicitly modeled stages of medical students acquiring basic science knowledge. In this study, we employed an innovative statistical model to characterize...
Source: biomedcentral.com
Interesting paper about beliefs among medical educators. This has been
developed with a qualitative study of undergraduate educators but the
framework makes for good reading for those of us involved in urging
colleagues and expert speakers to become more learner-centred. "The sharp divide between...
Source: biomedcentral.com
Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems: Deep learning (DL) neural networks have only recently been employed to interpret chest radiography (CXR) to screen and triage people for...
Source: nature.com
Simulation based education and expansive learning in health professional education: A discussion: The aim of this paper is to discuss the application of Simulation Based Education (SBE) in nursing and wider health professional education. Simulated Learning (SL) is discussed in relation to its history,...
Source: journals.sfu.ca
Using social media to support small group learning: Medical curricula are increasingly using small group learning and less didactic lecture-based teaching. This creates new challenges and opportunities in how students are best supported with information technology. We explored how university-supported...
Source: biomedcentral.com
Logical Fallacies and Internet Comments: After a few weeks of blistering comment sections on Scholarly Kitchen posts, it’s probably time to review the most common logical fallacies employed in arguing on the internet.
Source: sspnet.org