@inbook{78306abfd0fa459f90c57e5bcedcb75c,
title = "Measuring Mental Models",
abstract = "The construct of mental models has been a useful tool for training and learning. Many instructors ask students to draw how something works or their understanding of the subject. This gives the instructor useful feedback by comparing their own understanding to the students{\textquoteright} understanding. There are many variations in understanding that are distinct yet correct. The Structure, Behavior and Function framework (SBF, Hmelo-Silver and Pfeffer, 2004) successfully described how mental models change at different levels of learning. However, measuring mental models can present an analysis challenge. This study outlines another way to apply the SBF framework to quantify a person{\textquoteright}s mental model of a common task: posting a message to a social network. Was a person{\textquoteright}s mental model of this task universal? Did participants understand what happened to their data? Participants in this study were university students from three different regions of the United States who were familiar with social media. Participants described in words, pictures, or a diagram of what happens to a comment after it is entered on a social media site. Results demonstrate a universal mental model amongst participants which suggests a poverty in how data is shared in social media. The analysis methodology proved useful when confronted with the three data types: words, pictures, or a diagram in a single data set.",
author = "Elliott, \{Lisa Jo\} and Morgan Janney",
note = "Publisher Copyright: {\textcopyright} 2022. Published by AHFE Open Access. All rights reserved.",
year = "2022",
doi = "10.54941/ahfe1002423",
language = "English (US)",
series = "Applied Human Factors and Ergonomics International",
publisher = "AHFE International",
pages = "367--371",
booktitle = "Applied Human Factors and Ergonomics International",
}