Science

This brief examines the continued underrepresentation of African Americans, Latinos, Native Americans, and women of all racial and ethnic backgrounds in STEM fields; explains the benefits of collaboration around broadening participation; and offers guidance on building partnerships as a strategy for bridging the gaps in STEM education.

This brief explores factors that contribute to opportunity gaps in STEM education based on race, ethnicity, gender, ability, and socioeconomic status. It showcases the work of several DR K-12 projects and describes promising approaches for removing barriers for underrepresented groups and enhancing the STEM learning of all students.

To contribute to the growing field of STEM education, we examined the presence of stereotype threat for
female and African American students during a large-scale computing intervention. Namely, this paper
examines whether gender and race have an effect on students’ self-perceived technology efficacy,
technology anxiety, STEM attitude, and college expectations. In total, 1,085 student survey responses
were analyzed in order to better understand the effects of stereotype threat on females’ and minorities’
STEM learning. The results suggest that gender was a consistent determinant of STEM attitude and
technology efficacy. Furthermore, race was found to be a predictor of technology anxiety. In regards to
college expectations, gender and race were not predictors. Instead, STEM attitude and self-efficacy were
found to be positively associated with students’ expectations to attend college.

The logic underlying inclusive STEM high schools (ISHSs) posits that requiring all students to take advanced college preparatory STEM courses while providing student-centered, reform-oriented instruction, ample student supports, and real-world STEM experiences and role models will prepare and inspire students admitted on the basis of STEM interest rather than prior achievement for postsecondary STEM. This study tests that logic model by comparing the high school experiences and achievement of students in ISHSs and comparison schools in North Carolina. After identifying ISHS and non-STEM comparison high schools serving students who were similar in terms of socioeconomic status and academic achievement prior to high school entry, we employed propensity-score weighting and HLM modeling to estimate the impact of attending an ISHS on a set of outcome measures obtained from student surveys and from the state's longitudinal student data system. Analyses of student survey data found that attending an ISHS raises the likelihood that a student will complete pre-calculus or calculus and chemistry in high school, leads to increased involvement in STEM extracurricular and out-of-class activities, and enhances interest in science careers and aspirations to earn a master's or higher degree. Analyses of student outcome data from state administrative records revealed a positive impact of inclusive STEM high school attendance on grade point average (GPA) but not on ACT scores.

The importance of valuing student ideas in science education stands on firm empirical, theoretical, and moral grounds. However, the reasons for which one might value student ideas are often not explicitly distinguished, even if implicit distinctions are made in the literature. In this paper, I define and distinguish between three ways of valuing student ideas – moral, instrumental, and intellectual – and I suggest implications of these distinctions for teacher education and research.

While Science, Technology, Engineering, and Math (STEM) fields have increased in importance over the past decade, minorities have remained traditionally underrepresented in these fields. In this study we seek to better understand some of the factors that might contribute to or potentially mitigate early STEM pipeline leaks, specifically, high school graduation and college entrance leaks. Student interest formed in the early school years has an impact on future course selections and persistence in school. These choices can have long-term repercussions on the future career options and the financial security of students. We apply expectancy-value theory (EVT) in order to examine the factors that may influence students’ motivations and intentions to complete high school and attend college. Specifically, we investigate if EVT can help to explain change in students’ academic intentions and motivations after a computing intervention. We hypothesize that changes in students’ expectancies for success and subjective task values will be positively associated with changes in students’ intentions and motivations to persist in academia. Data were gathered from a sample of elementary students within an urban, high poverty, and predominately minority school district located in the southeastern USA. Changes in students’ expectancies for success and subjective task values over the course of the intervention played an important role in students’ academic motivations and intentions to both finish high school and attend college. These findings demonstrate that EVT is useful in explaining general academic motivations in young children, which could potentially increase the structural integrity of the STEM pipeline.

Though addressing sources of uncertainty is an important part of doing science, it has largely been neglected in assessing students' scientific argumentation. In this study, we initially defined a scientific argumentation construct in four structural elements consisting of claim, justification, uncertainty qualifier, and uncertainty rationale. We consulted literature to characterize and score different levels of student performances on each of these four argumentation elements. We designed a test comprised of nine scientific argumentation tasks addressing climate change, the search for life in space, and fresh water availability and administered it to 473 students from 9 high schools in the United States. After testing the local dependence and unidimensionality assumptions, we found that the uncertainty qualifier element was not aligned with the other three. After removing items related to uncertainty qualifier, we applied a Rasch analysis based on a Partial Credit Model. Results indicate that (1) claim, justification, and uncertainty rationale items form a unidimensional scale, (2) justification and uncertainty rationale items contribute the most on the unidimensional scientific argumentation scale as they cover much wider ranges of the scale than claim items, (3) average item difficulties increase in the order of claim, justification, and uncertainty rationale, (4) students' elaboration of uncertainty exhibits dual characteristics: self-assessment of their own knowledge and ability versus scientific assessment of conceptual and empirical errors embedded in investigations, and (5) students who can make warrants between theory and evidence are more likely to think about uncertainty from scientific sources than those who cannot. We identified limitations of this study in terms of science topic coverage and sample selection and made suggestions on how these limitations might have affected results and interpretations.