AIMC Topic: Formative Feedback
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Job interview training targeting nonverbal communication using an android robot for individuals with autism spectrum disorder.
Autism : the international journal of research and practice
Feb 22, 2019
Job interviews are significant barriers for individuals with autism spectrum disorder because these individuals lack good nonverbal communication skills. We developed a job interview training program using an android robot. The job interview training...
The evaluation of i-SIDRA - a tool for intelligent feedback - in a course on the anatomy of the locomotor system.
International journal of medical informatics
Jul 14, 2016
OBJECTIVE: This paper presents an empirical study of a formative mobile-based assessment approach that can be used to provide students with intelligent diagnostic feedback to test its educational effectiveness.
An Empirical Study of Neural Network-Based Audience Response Technology in a Human Anatomy Course for Pharmacy Students.
Journal of medical systems
Jan 27, 2016
This paper presents an empirical study of a formative neural network-based assessment approach by using mobile technology to provide pharmacy students with intelligent diagnostic feedback. An unsupervised learning algorithm was integrated with an aud...
Artificial Intelligence in Narrative Feedback Analysis for Competency-Based Medical Education: A Review.
Studies in health technology and informatics
May 15, 2025
Competency-Based Medical Education (CBME) generates large volumes of qualitative data in the form of narrative feedback. Traditional qualitative analysis methods face limitations in managing this data's scale and complexity. This review explores the ...
Modeling Precision Feedback Knowledge for Healthcare Professional Learning and Quality Improvement.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Healthcare providers learn continuously, but better support for provider learning is needed as new biomedical knowledge is produced at an increasing rate alongside widespread use of EHR data for clinical performance measurement. Precision feedback is...
Using Natural Language Processing to Automatically Assess Feedback Quality: Findings From 3 Surgical Residencies.
Academic medicine : journal of the Association of American Medical Colleges
Oct 1, 2021
PURPOSE: Learning is markedly improved with high-quality feedback, yet assuring the quality of feedback is difficult to achieve at scale. Natural language processing (NLP) algorithms may be useful in this context as they can automatically classify la...
AI-ssessment: Towards Assessment As a Sociotechnical System for Learning.
Academic medicine : journal of the Association of American Medical Colleges
Jul 1, 2021
Two decades ago, the advent of competency-based medical education (CBME) marked a paradigm shift in assessment. Now, medical education is on the cusp of another transformation driven by advances in the field of artificial intelligence (AI). In this a...
Using Machine Learning to Evaluate Attending Feedback on Resident Performance.
Anesthesia and analgesia
Feb 1, 2021
BACKGROUND: High-quality and high-utility feedback allows for the development of improvement plans for trainees. The current manual assessment of the quality of this feedback is time consuming and subjective. We propose the use of machine learning to...
Spiking neurons can discover predictive features by aggregate-label learning.
Science (New York, N.Y.)
Mar 4, 2016
The brain routinely discovers sensory clues that predict opportunities or dangers. However, it is unclear how neural learning processes can bridge the typically long delays between sensory clues and behavioral outcomes. Here, I introduce a learning c...
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