This holistic perspective is essential for identifying leverage points for educational reform and faculty development initiatives that can ultimately enhance the training of future physicians and improve health outcomes. Through uncovering the essence of the pedagogical beliefs guiding medical education, this ...
This study followed the thematic “bottom- up” approach developed by Braun and Clarke (2006) for identifying, analyzing, and reporting patterns. 2.6 Validity and reliability The survey was piloted, and Cronbach’s alpha values were checked. The survey was administered online via Google Forms. ...
Dig into your past training initiatives, identifying what went well and where things could have gone a bit smoother. If your shortcomings align with the disadvantages of the training method chosen, it may be time to revamp the initiative altogether. (As a simple example, if an on-the-job tr...
The main objective of this experiment is to construct parsimonious machine-learning models to predict ozone concentrations. To this end, we select important variables from all meteorological and pollutant variables. There are various techniques for identifying feature importance in the literature, including...
For those of you that are curious, I have a couple of podcasts of my management plan. The first ishere: and the second ishere: The Engagement Side: When we create lessons for our students, we need to purposefully plan for engaging activities. Don’t let it be an accident. You should...
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Diagnostic analytics is useful for identifying anomalies and helping organizations pinpoint areas that require further inquiry. It also uncovers causal relationships, showing how events might have resulted in the identified anomalies. 3. Predictive analytics ...
The aim of this study is firstly to select the influential features of the EOR screening problem among rock and fluid features using the Mutual Information method, by considering high capability of this method for identifying linear and nonlinear relationships among features compared to linear methods...
automated solution for identifying, extracting and classifying the subjects and their associated opinions from the raw text. Aspect-based sentiment analysis (ABSA) is one such solution. 1.1Review focus and research questions This work presents a systematic literature review (SLR) of existing ABSA ...
Feature selection methods, crucial for identifying pertinent features in a dataset, fall into three categories: wrapper, embedded, and filter techniques (see Fig.7) [12]. Embedded methods, like most minor absolute shrinkage and selection operator (LASSO) regression and ridge regression (RR), embed...