Results 231 to 240 of about 5,530,847 (396)
Abstract In today's digital age, misinformation propagates rapidly through digital channels, blurring the lines between truth and fiction, and challenging the foundations of trust in information sources. Although affecting all spheres of life, misinformation poses a significant threat to workers highlighting a critical intersection between ...
Ashwani Malhotra +4 more
wiley +1 more source
A new trend in nutrition education for schools of nursing
Ann M. Mitchell
openalex +1 more source
The development of work-based learning as part of post-qualifying education in the School of Nursing University of Salford [PDF]
DD Owens, JM Rutherford
openalex
Reduced Susceptibility to the Dunning–Kruger Effect in Autistic Employees
ABSTRACT Evidence indicates that autistic individuals are less susceptible to social influence and cognitive biases than non‐autistic individuals. However, no studies have been conducted on the Dunning–Kruger effect (DKE) in autism. The DKE is a cognitive bias in which people with limited expertise in a specific domain overestimate their abilities. The
Lorne M. Hartman +2 more
wiley +1 more source
Prescribing competence: The pros and cons of different methods for assessment
Evaluating a medical graduate’s competence in rational prescribing is challenging. With the aim to guide and inspire teachers, this narrative review explores different methods that can be used to assess prescribing competence. Each method has its own advantages and disadvantages, and thus a mix of different assessment methods is needed throughout the ...
David J. Brinkman +3 more
wiley +1 more source
Aim Problem‐based learning (PBL) is an established approach in medical, nursing, pharmacy and veterinary medicine education. This study describes the implementation and aims to evaluate the use of non‐linear slide decks as a method to deliver PBL as individualized student assessments within pharmacology education. This approach, originally developed in
Wendy R. Francis +2 more
wiley +1 more source
Risky or rigorous? Developing trustworthiness criteria for AI‐supported qualitative data analysis
Anatomical Sciences Education, EarlyView.
Michelle D. Lazarus +4 more
wiley +1 more source

