AI Article Synopsis
- The paper discusses the growing integration of technology in health care and education, focusing on how digital evidence informs assessment claims.
- It introduces four key sets of terms—primary vs. secondary data, structured vs. unstructured data, development vs. use, and deterministic vs. generative data—to analyze the application of digital sources in evaluating learners' knowledge and abilities.
- Through various examples, the paper illustrates how these terms can benefit both the creators and users of technology-driven assessment systems.
Article 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.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11583624 | PMC |
| http://dx.doi.org/10.5334/pme.1270 | DOI Listing |
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