*Note* This scheduling program was not designed by folks who do a lot with APA Style and unfortunately it defaults to listing authors in alphabetical order. We cannot fix this for this online schedule, but the author orders are posted in the order submitted in the printed program available via pdf here.
Males and females exhibit similar math and science achievement levels in K-12. Therefore, other variables are believed to play a considerable role in the continued underrepresentation of females and minorities in certain STEM career trajectories. This symposium will provide an overview and present data from three different types of studies that seek to impact attitudes about math, science, and gender stereotypes and enhance behavioral performance on STEM-related tasks. National and international data on female achievement in math and science will be reviewed. Math and science anxiety will be defined and operationalized and examples of assessment measures used in this area will be demonstrated. Gender stereotyping in STEM and the use of measures such as the Gender-Science Implicit Attitudes Test (IAT) are described. Methods for encouraging females to develop and maintain a strong math and science self-concept are explored. Data are presented from a study on pre-service teachers, suggesting that anxious attitudes about math and science and stereotypes about gender and science may be implicitly conveyed to K-12 students, impact female students more than male students, and could potentially be prevented. Outcome data are also presented on a brief mindful math intervention for female college students designed to increase math performance and decrease negative cognitions. Lastly, brief “reverse” stereotype threat interventions aimed at female, ethnic minority and low SES college students are described and discussed, with the goal of creating new and potentially quick methods for decreasing math and science anxiety and enhancing performance levels in these populations.
