Open AccessPretest Scores Uniquely Predict 1-Year-Delayed Performance in a Simulation-Based Mastery Course for Central Line Insertion
Author(s) -
Emily Diederich,
Laura Thomas,
Jonathan D. Mahnken,
Matthew Lineberry
Publication year - 2018
Publication title -
simulation in healthcare
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.685
H-Index - 49
eISSN - 1559-713X
pISSN - 1559-2332
DOI - 10.1097/sih.0000000000000327
Subject(s) - sbml , mastery learning , interim , test (biology) , facilitation , educational measurement , psychology , computer science , mathematics education , curriculum , pedagogy , markup language , history , operating system , paleontology , archaeology , neuroscience , biology , xml
Within simulation-based mastery learning (SBML) courses, there is inconsistent inclusion of learner pretesting, which requires considerable resources and is contrary to popular instructional frameworks. However, it may have several benefits, including its direct benefit as a form of deliberate practice and its facilitation of more learner-specific subsequent deliberate practice. We consider an unexplored potential benefit of pretesting: its ability to predict variable long-term learner performance.