Trainers need to reevaluate the training offered in the context of its being a learning event. This requires careful consideration of the training methods used and the overall approach taken to enabling learning. It has to be recognized that people learn in many different ways, and that the ...
This study uses the NLS Mature Women's Cohort to examine labor market effects of education and training on women at pre-retirement ages, comparing training methods: formal education, on-the-job training, and other training. Results show that younger, more educated women tend to train more than...
Examining potential racial/ethnic bias among medical students may provide important information to inform medical education and training. This paper describes the development, pretesting and piloting of study content, tools and processes for an online study of racial/ethnic bias (comparing Māori and ...
Learning to teach online: Measuring the influence of faculty development training on teaching effectiveness through a TPACK lens The purpose of this study was to examine one model for training new online instructors and measure the influence it had on their teaching effectiveness and... Brinkley-Etzk...
Development and Implementation of a Public Health Workforce Training Needs Assessment Survey in North Carolina Assessing the training needs of local public health workers is an important step toward providing appropriate training programs in emergency preparedness a... LM Harrison,MV Davis,PDM Macdonald,...
Instead of training a deep neural network to generate high-resolution mass spectra from a low-resolution counterpart or interpolating missing pixel values directly41, we jointly learn low-dimensional embeddings of the high-dimensional data and train a regression network to predict these embeddings from...
For studies reporting machine learning and algorithm development, include details about datasets used for development, training, and validation. Clearly state if algorithms were trained and tested only on previously collected or existing data sets or if the study includes prospective deployment. Include ...
outdated environment where practices and structures are not effective. Such resistance is typically due to fear of the unknown, lack of information or training on new things, or simply sticking to the status quo. In such circumstances, change is imperative to resolve challenges and prevent them fr...
Going on with that analogy, a data scientist tunes the data analytics engine using training in data science. Data science is the study of how to use data to derive meaning and insight. A data scientist must possess a cross-section of math, statistics, programming, and other related skills ...
The architectural design of hospitals worldwide is centred around individual departments, which require the movement of patients between wards. However, patients do not always take the simplest route from admission to discharge, but can experience convol