AIMC Topic: Educational Measurement

Clear Filters Showing 301 to 310 of 311 articles

AI-ssessment: Towards Assessment As a Sociotechnical System for Learning.

Academic medicine : journal of the Association of American Medical Colleges
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...

Machine Scoring of Medical Students' Written Clinical Reasoning: Initial Validity Evidence.

Academic medicine : journal of the Association of American Medical Colleges
PURPOSE: Developing medical students' clinical reasoning requires a structured longitudinal curriculum with frequent targeted assessment and feedback. Performance-based assessments, which have the strongest validity evidence, are currently not feasib...

Incorporating higher order thinking and deep learning in a large, lecture-based human physiology course: can we do it?

Advances in physiology education
Large classes taught with didactic lectures and assessed with multiple-choice tests are commonly reported to promote lower order (LO) thinking and a surface approach (SA) to learning. Using a case study design, we hypothesized that incorporating inst...

VR and machine learning: novel pathways in surgical hands-on training.

Current opinion in urology
PURPOSE OF REVIEW: Surgical training has dramatically changed over the last decade. It has become not only the way to prepare surgeons for their everyday work, but also a way to certify their skills thus increasing patient safety. This article review...

Expectations for the Next Generation of Simulated Patients Born from Thoughtful Anticipation of Artificial Intelligence-Equipped Robot.

Journal of Nippon Medical School = Nippon Ika Daigaku zasshi
It is predicted that in the near future robot simulated patients (SPs) will come into use. Through the impressions of five SPs about robot SPs, we explored their vision of the future of medical education as an indicator of what ordinary citizens thin...

Can Robots Accelerate the Learning Curve for Surgical Training? An Analysis of Residents and Medical Students.

Annals of the Academy of Medicine, Singapore
Surgical traineeship has traditionally been based on a master apprentice model where learning takes place in the operating theatre. This approach has changed over the past few years with greater emphasis on surgical training taking place within the s...

Computer-Assisted Decision Support for Student Admissions Based on Their Predicted Academic Performance.

American journal of pharmaceutical education
To develop predictive computational models forecasting the academic performance of students in the didactic-rich portion of a doctor of pharmacy (PharmD) curriculum as admission-assisting tools. All PharmD candidates over three admission cycles wer...

Integrating Telepresence Robots Into Nursing Simulation.

Nurse educator
This article provides an overview of the use of telepresence robots in clinical practice and describes an evaluation of an educational project in which distance-based nurse practitioner students used telepresence robots in clinical simulations with o...