Literature DB >> 29369961

Role of Scientific Theory in Simulation Education Research.

Martin V Pusic1, Kathy Boutis, Willam C McGaghie.   

Abstract

STATEMENT: Scientific theories are consistent explanations about how the world works. They have been shown to be plausible not only from a large amount of independent confirmatory evidence but also because rigorous attempts at falsification have failed. Other desirable features include parsimony, scalability, explanatory, and predictive power. Scientific theories differ from models and laws in the amount of evidence available and/or the degree to which they explain nature. Learning curve theory is a scientific theory with direct applicability to simulation education researchers. In this article, the authors use the example of learning curve theory to illustrate the key features of scientific theories and how they provide a meaningful foundation for simulation-based education research programs.

Mesh:

Year:  2018        PMID: 29369961     DOI: 10.1097/SIH.0000000000000282

Source DB:  PubMed          Journal:  Simul Healthc        ISSN: 1559-2332            Impact factor:   1.929


  3 in total

1.  Learning Analytics in Medical Education Assessment: The Past, the Present, and the Future.

Authors:  Teresa Chan; Stefanie Sebok-Syer; Brent Thoma; Alyssa Wise; Jonathan Sherbino; Martin Pusic
Journal:  AEM Educ Train       Date:  2018-03-22

2.  The utility of failure: a taxonomy for research and scholarship.

Authors:  Meredith Young
Journal:  Perspect Med Educ       Date:  2019-12

3.  Surgical Skill Can be Objectively Measured From Fluoroscopic Images Using a Novel Image-based Decision Error Analysis (IDEA) Score.

Authors:  Steven Long; Geb W Thomas; Matthew D Karam; J Lawrence Marsh; Donald D Anderson
Journal:  Clin Orthop Relat Res       Date:  2021-06-01       Impact factor: 4.755

  3 in total

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