Throw Them All in One Pot? Differences in Stereotypes About Subgroups of Pre-Service Teachers

According to the stereotype content model, stereotypes can be described by using the dimensions competence and warmth. Compared to other professions, teaching is associated with a paternalistic stereotype consisting of high warmth and low competence. In four studies, stereotypes about different subgroups of pre-service teachers were compared. The aim was to understand sub-stereotypes better that could lead to different levels of stereotype threat and adverse behavioral tendencies. In Study 1 (N = 335), we compared stereotypes about elementary school pre-service teachers, grammar school pre-service teachers, computer science students, law students, and psychology students reported by pre-service teachers and psychology students. In contrast to nonteaching students, both groups of pre-service teachers corresponded to the paternalistic stereotype. In Study 2 (N = 243), pre-service teachers reported stereotypes about pre-service teachers for elementary schools, special education schools, comprehensive schools, vocational schools, and grammar schools. Elementary school pre-service teachers were stereotyped most paternalistically, while grammar school pre-service teachers matched the paternalistic stereotype the least. The ratings of other school types mostly fell between these extremes. In Studies 3a (N = 133, open-ended questions) and 3b (N = 308, closed-ended questions), students of various study programs compared pre-service teachers majoring in German and history (representing a non-STEM major combination) to pre-service teachers with the majors mathematics and physics (representing a STEM major combination). Pre-service teachers studying German and history were rated warmer but less competent than pre-service teachers with the majors mathematics and physics, confirmed by both methods of measuring stereotypes. In Studies 1, 3a, and 3b, ingroup favoritism in the ratings by pre-service teacher participants was tested and only found for competence in Study 1. The importance of our results and their implications for stereotype threat effects and possible interventions are discussed.

College Enrollment and STEM Major Choice in a Rural State

Rural students account for almost 20% of the US K-12 students, but rural context varies from state to state. This study uses a statewide longitudinal sample (N = 3,119) to analyze college enrollment and STEM major choice patterns of Montana’s public high school students in the academic years of 2013-2017. The binary logistic regressions showed that Montanan students are more likely to enroll into a 4-year institution than a 2-year institution. Also, students enrolled at a 4-year institution are more likely to consider STEM majors than students at a 2-year institution. Although high school GPA and ACT STEM scores are strong predictors for both college enrollment and STEM major choice, findings for race/ethnicity, gender, and free or reduced-price lunch status varied across the two outcomes. Specifically, race/ethnicity contributes to variation in college enrollment, but not STEM major choice. Similarly, free or reduced-price lunch status in high school is predictive of college enrollment, but not for STEM major choice. Although there was no difference in college enrollment type for gender, male students are more likely to select a STEM major, and this trend occurs at a rate of three times higher at a 4-year institution versus a 2-year institution. Our findings provide additional nuances of rural students, contributing to the understanding of their college enrollment and STEM major choices in the context of Montana - a large geographic, low populous state - which has received less attention than urban and high-density states.

Exploring Factors that Predict STEM Persistence at a Large, Public Research University

The present study explores demographics, pre-college characteristics and multi-year (2003-2013) tracking of a census of 53,077 students who initially declared a STEM major upon entering a research university in Texas and seeks to predict graduation with a STEM and non-STEM degree. Guided by QuantCrit theory, we use multilevel models to determine factors that predicted persistence in any major and factors that predicted persistence in STEM, as well as use marginal effects to explore the intersection of ethnicity, sex, and first-generation status. Results highlight the disparity that exist amongst Black students and their White counterparts with regards to persistence in any major. We also highlight the gap between first-generation White and Black first-generation females and their Asian and International counterparts with regards to persistence in STEM. Implications for future research and practitioners suggest further attention needs to be paid to Black first-generation students.

Impacts of attending an inclusive STEM high school: meta-analytic estimates from five studies

Background Inclusive STEM high schools seek to broaden STEM participation by accepting students on the basis of interest rather than test scores and providing a program sufficient to prepare students for a STEM major in college. Almost nonexistent before the present century, these high schools have proliferated over the last two decades as a strategy for addressing gaps in STEM education and career participation. This study uses a meta-analytic approach to investigate the relationship between attending an inclusive STEM high school and a set of high school outcomes known to predict college entry and declaration of a STEM college major. Results Combining effect estimates from five separate datasets of students from inclusive STEM high schools and matched comparison schools, the analysis reported here used data from administrative records and survey data for 9719 students in 94 high schools to obtain estimates of the average impact of attending an inclusive STEM high school on STEM-related high school outcomes. Positive effects for inclusive STEM high schools were found for completion of key STEM courses and for likelihood that students would engage in self-selected STEM activities. Students who attended an inclusive STEM high school also identified more strongly with mathematics and science and were more likely as high school seniors to be very interested in one or more STEM careers. Importantly, these positive impacts were found for low-income, under-represented minority, and female students as well as for students overall. Attending an inclusive STEM high school appeared to have a small positive impact on science test scores for students overall and for economically disadvantaged students, but there were no discernible impacts on mathematics test scores. Conclusions These findings suggest that the inclusive STEM high school model can be implemented broadly with positive impacts for students, including low-income, female, and under-represented minority students. Positive impacts on the odds of taking advanced mathematics and science courses in high school and on interest in entering a STEM profession are of particular importance, given the strong association between these variables and entry into a STEM major in college.