Learning Analytics Applied to Clinical Diagnostic Reasoning Using a Natural Language Processing-Based Virtual Patient Simulator: Case Study.

ABSTRACT:

Background

Virtual patient simulators (VPSs) log all users' actions, thereby enabling the creation of a multidimensional representation of students' medical knowledge. This representation can be used to create metrics providing teachers with valuable learning information.

Objective

The aim of this study is to describe the metrics we developed to analyze the clinical diagnostic reasoning of medical students, provide examples of their application, and preliminarily validate these metrics on a class of undergraduate medical students. The metrics are computed from the data obtained through a novel VPS embedding natural language processing techniques.

Methods

A total of 2 clinical case simulations (tests) were created to test our metrics. During each simulation, the studen

SUBMITTER: Furlan R 

PROVIDER: S-EPMC8931645 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature