Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.clon.2005.01.001 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Professional judgement: a social practice perspective on a multiple mini-interview for specialty training selection.
BMC Med Educ
January 2025
Division of Learning and Teaching, Charles Sturt University, Bathurst, NSW, Australia.
Background: Interviewers' judgements play a critical role in competency-based assessments for selection such as the multiple-mini-interview (MMI). Much of the published research focuses on the psychometrics of selection and the impact of rater subjectivity. Within the context of selecting for entry into specialty postgraduate training, we used an interpretivist and socio-constructivist approach to explore how and why interviewers make judgments in high stakes selection settings whilst taking part in an MMI.
View Article and Find Full Text PDFRobust and flexible learning of a high-dimensional classification rule using auxiliary outcomes.
Biometrics
October 2024
Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL 32611, United States.
Article Synopsis
- Correlated outcomes often exist in practical problems, with one primary outcome of interest and others serving as auxiliary.
- Traditional multi-task learning (MTL) can lead to biased estimates when it's misapplied, as it averages losses across all outcomes.
- The new method developed combines MTL for efficiency with a calibration step focusing on the target outcome, resulting in lower estimation errors compared to using solely the main outcome.
Learning performance and physiological feedback-based evaluation for human-robot collaboration.
Appl Ergon
April 2025
Industrial Engineering, Universitas Brawijaya, Indonesia. Electronic address:
Article Synopsis
- The rise of Industry 4.0 has transformed manufacturing by promoting collaboration between humans and robots, emphasizing a human-centered approach to enhance operational resilience.* -
- Humans need to adapt to new working environments where they share space with robots, and wearable technologies are being utilized to gather data on human physiological responses during collaboration.* -
- A study assessing human performance in robot collaboration found that performance improved with repetition, achieving a 92% learning performance value, and highlighted the importance of evaluating workload and physiological feedback to create more adaptable and efficient work systems.*
Understanding of 'person-centred care' in an oncology ICU: Associative group analysis.
Heliyon
October 2024
Department of Nursing, University of Pretoria, South Africa.
Purpose: To describe how healthcare professionals, patients, and their significant others understand the concept of 'person-centred care' in an oncology ICU.
Methods: This study followed the associative group analysis (AGA) method, a quali-quantitative research approach.The population included healthcare professionals, their patients, and significant others in a four-bed oncology adult intensive care unit.
Education Research: What Medical Students Value in Neurology Residents: A Qualitative Study to Inform Resident as Teacher Curricula.
Neurol Educ
June 2024
From the Department of Neurology, Yale School of Medicine, New Haven, CT.
Background And Objectives: Residents are responsible for much of the formal and informal teaching of neurology clerkship medical students. High-quality resident teachers can enhance clerkship satisfaction, decrease neurophobia, and increase specialty interest. To train such residents, some institutions have developed resident as teacher (RAT) curricula.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!