Browsing by Subject "mental models"
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Item Assessment of Driving Mental Models as a Predictor of Crashes and Moving Violations(2012-07-16) Munoz Galvez, Gonzalo JavierThe purpose of the current study was to assess the efficacy of mental models as a predictor of driving outcomes. In contrast to more traditional measures of knowledge, mental models capture the configural property of knowledge, that is, an individual's understanding of the interrelationships that exist among critical concepts within a particular knowledge domain. Given that research has consistently shown the usefulness of mental models for the prediction of performance in a number of settings, it was hypothesized that the development of accurate driving mental models would also play an important role in the prediction of driving outcomes, especially in comparison to traditional measures of driving knowledge?such as the multiple-choice type tests typically required to obtain a driver license. Mental models of 130 college students (52 percent females) between 17 and 21 years-old (M = 18.68, SD = 0.80) were analyzed and compared to a subject matter expert (SME) referent structure using Pathfinder. A statistically significant correlation was found for mental model accuracy and moving violations (r = ?.18, p <.05), but not for at-fault crashes. Evidence of incremental validity of mental models over commonly used predictors of moving violations (but not for at-fault crashes) was also found. Exploratory analyses revealed that driving knowledge, general mental ability (GMA), and emotional stability were the best predictors of mental model accuracy. Issues related to the measurement of mental models were extensively addressed. First, statistically significant correlations between GMA and several mental model properties (i.e., accuracy scores, within participant similarity, and within participant correlation) suggest that challenges inherent to the task for eliciting mental models may influence mental model scores which, in turn, may lower mental model reliability estimates. Also, the selection of model components (i.e., terms) and the identification of the "best" reference structure for deriving mental model accuracy scores are undoubtedly critical aspects of mental model-related research. Along with illustrating the decisions made in the context of this particular study, some suggestions for conducting mental model-related research are provided.Item Evaluating Importance Ratings as an Alternative to Mental Models in Predicting Driving Crashes and Moving Violations(2012-07-16) McDonald, Jennifer NicoleThe present study investigated the extent to which importance ratings (i.e., a measure of perceived importance for driving-related concepts) are a viable alternative to traditional mental model assessment methods in predicting driving performance. Although mental models may predict driving?related outcomes?crash involvement and moving violations?common mental model assessment techniques are associated with administrative limitations and challenges, which can affect how valid mental models are as assessments of knowledge structure. Importance ratings, as a measure of driving-related knowledge that may be associated with fewer administrative limitations, were hypothesized to provide equal predictive validity for driving?related performance outcomes in a sample of undergraduate students. To investigate the extent to which the measurement of mental models and importance ratings contribute to the prediction of driving crashes and moving violations, students completed Pathfinder, a common computer-based mental model assessment method, and paper-and-pencil importance ratings. In addition, students completed a test of driving knowledge and reported driving behaviors and outcomes including at-fault crashes and moving violations that occurred over the past five years (i.e., from 2005 to 2009). A group of expert drivers completed mental model and importance ratings assessments as well. Data across expert raters were combined and analyzed for appropriateness to serve as referent scores for each assessment. Students' mental model accuracy as well as importance rating accuracy was based on the extent to which student mental models and ratings agreed with those provided by the group of expert drivers. The results suggest that importance rating and mental model accuracy predicted crash involvement and moving violations. Whereas mental model accuracy was a stronger predictor of the number of moving violations, importance rating accuracy predicted the number of at-fault crashes slightly better than mental models. Although inconclusive, these results suggest that importance ratings may be a viable alternative to traditional mental model assessment in predicting some driving outcomes. Future research is warranted on importance ratings and other alternative mental model assessments.Item The Comparative Effects of a Computer-Based Interactive Simulation during Structured, Guided, and Student-Directed Inquiry on Students' Mental Models of the Day/Night Cycle(2012-11-09) Baldwin, Moira JenkinsThis study compared middle school (i.e., fifth, sixth and seventh grade) students? mental models of the day/night cycle before and after implementation of three inquiry-based treatments. The three treatments were classified as 1) structured inquiry, 2) guided inquiry, and 3) student-directed inquiry. All three treatments used Starry Night Middle School interactive simulation software to investigate the phenomenon of the day/night cycle. Additionally, all three treatments were based on two researcher-developed lessons using Starry Night Middle School. The participants were 145 fifth, sixth, and seventh grade students who were purposively selected from a public school in a U.S. state. For the purpose of this study, the students remained in their classrooms. There were three classrooms per grade level. Those classrooms were randomly assigned to one of the three treatments. Students? scores on a pretest, immediate posttest, and delayed posttest were analyzed. Students from a purposive sample were interviewed after the pretest, immediate posttest, and delayed posttest to clarify student mental models of the day/night cycle. The students were chosen based upon their score on the multiple-choice test. Seven of the selected students were in the Structured Inquiry group. Eleven of the selected students were in the Guided Inquiry group. Five of the selected students were in the Student-directed Inquiry group. First, the comparative effects of Structured Inquiry, Guided Inquiry, and Student-directed Inquiry on middle school students? mental models of the day/night cycle immediately and three months following the intervention revealed no statistical difference among the three treatments. Time, however, appeared to have a significant negative effect on students? mental models of the day/night cycle. Second, inquiry groups did not differ significantly in their mental models. Third, there was no interaction between starting mental model and the type of inquiry. The major findings demonstrate that all three treatments promote learning, but that no one treatment is more effective than another.