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数字证据:重新审视技术与评估交叉点的假设。

Digital Evidence: Revisiting Assumptions at the Intersection of Technology and Assessment.

机构信息

Learning Health Sciences, Surgery, and Information, Medical School and School of Information, University of Michigan, Ann Arbor, Michigan, United States.

Faculty of Education, Queen's University, Canada.

出版信息

Perspect Med Educ. 2024 Nov 20;13(1):553-560. doi: 10.5334/pme.1270. eCollection 2024.

DOI:10.5334/pme.1270
PMID:39582790
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11583624/
Abstract

The increasing use of technology in health care and health professions education is an invitation to examine how digital sources of evidence are used in making assessment claims. In this paper, we describe how four sets of terms-primary and secondary data; structured and unstructured data; development and use; and deterministic and generative-can aid in examining how data from digital sources are used in evaluating what learners know and can do. Drawing on multiple examples, this paper shows how the four sets of terms can help both developers and users of technology-based assessment systems.

摘要

医疗保健和医疗专业教育中技术的使用日益增多,这就要求我们审视如何使用数字来源的证据来做出评估主张。在本文中,我们将描述四组词(主要数据和次要数据;结构化数据和非结构化数据;开发和使用;以及确定性和生成性)如何帮助我们检查数字来源的数据如何用于评估学习者的知识和能力。本文通过多个例子展示了这四组词如何帮助基于技术的评估系统的开发人员和用户。