Through the lens of expectancy-value theory (EVT), what are the potential factors that influence STEM attitudes in the context of computing intervention?
Investigates the effect of affirmative action bans on aggregate STEM degree completion across the US. Banning affirmative action may do more than shift minority students pursuing STEM from more selective colleges to less selective colleges. Minority students may also switch majors while
enrolling in the same institution, as well as attend community colleges or pursue other career
STEM Field Persistence: The Impact of Engagement on Postsecondary STEM Persistence for Underrepresented Minority Students
1) Do the BPS:04/09 data support that underrepresented minority students leave STEM fields? 2) Does the BPS:04/09 demonstrate differential engagement for underrepresented minority students in STEM fields? 3) Do the differing engagement behaviors contribute to STEM attrition of underrepresented minorities?
- How large are general knowledge gaps occurring in kindergarten, and to what extent do these continue to occur by the end of first grade?
- As children move from third to eighth grade, what is their typical initial level (i.e., intercept) and rate of achievement growth (i.e., slope) in science?
- Are these gaps consistent with stable, cumulative (i.e., gap increasing), or compensatory (i.e., gap decreasing) achievement growth trajectories? How do these initial third-grade science achievement levels and third- to eighth-grade growth trajectories vary by children’s race, ethnicity, language, and family SES status? How are a more general set of child- and family-level characteristics, including parenting quality, related to typical levels of third-grade science achievement in the United States as well as to achievement growth from third to eighth grade?
- To what extent are the third-grade science achievement gaps, as well as third- to eighth-grade science achievement growth, explained by such modifiable factors as general knowledge, reading and mathematics achievement, and behavioral self-regulation? How much of children’s later science achievement can be predicted by their first-grade achievement-related knowledge, skills, and behaviors?
- With the aforementioned first-grade predictive factors accounted for, how important are the modifiable factors of children’s subsequent reading and mathematics achievement, and behavioral self-regulation at each of third, fifth, and eighth grades to their science achievement during these grades?
- To what extent does a school’s academic climate and racial, ethnic, and economic composition explain children’s science achievement, over and above the afore- mentioned child- and family-level factors?
STEM as "Minority": A Phenomenological Case Study of How Students of Color Perceive Their Experience in a STEM Living-Learning Program
To gain understanding of the experiences of students of color in a STEM living-learning program.
Focuses on what barriers still exist in diversity programs that are focused on STEM.
Who Aspires to a Science Career? A Comparison of Survey Responses from Primary and Secondary School Students
1) Who holds science aspirations? 2) What factors seem to be connected to aspirations? 3) Are these patterns similar or different at different time points (in primary and secondary school)?
School Choice, Racial Segregation, and Poverty Concentration: Evidence from Pennsylvania Charter School Transfers
1)To what extent are students and schools affected by movement between charter schools and traditional public schools (TPS)? 2) Are student transfers from TPS to brick and mortar (B&M) charter schools associated with increasing racial isolation? How does this vary by geography? 3) Are student transfers from TPSs to charter schools associated with increasing exposure to low-income students? 3) How does this vary by geography? 4) What are the demographic characteristics of the TPSs from which cyber students transfer?
This study examines engineering students’ self-reported learning outcomes by their gender, race/ethnicity, and the intersections of gender and race/ethnicity. This study focuses on the relationship between students’ pre-college characteristics and their learning outcomes.
What Matters in College for Retaining Aspiring Scientists and Engineers from Underrepresented Racial Groups
Among students who started college with an interest in majoring in a STEM field, does a student’s race contribute significantly to the chances that he or she will follow through on these intentions? If so, are the effects of race moderated by high school academic preparation and/or key college experiences? If there are racial disparities in persistence rates after controlling for pre-college student characteristics, what are the college factors that contribute to the persistence of under represented racial minority (URM) students? What college experiences and institutional characteristics significantly predict the likelihood that a URM student will follow through on his or her intentions to pursue a degree in STEM?
Assess the variation in perceived STEM support by gender and race/ethnicity and its associations with STEM aspirations. Explore in-depth the participants’ perceptions of microaggressions and support for girls and underrepresented minorities in STEM.
The purpose of this study is to examine the relationship between majoring in a STEM ?eld in college, and early career earnings among high achieving minority students. Research questions: 1) What are the earnings premiums associated with majoring in STEM fields during college for racial/ethnic minority students? 2) To what extent does congruence between majors and jobs account for the earnings differences? 3) Is there an earnings premium associated with majoring and gaining employment in a STEM field and not gaining employment in a related occupation?
Examines the differential effects of teachers on female, minority, and low-socioeconomic status (SES) students’ achievement in Grade 4.
Accuracy and Inaccuracy in Teachers' Perceptions of Young Children's Cognitive Abilities: The Role of Child Background and Classroom Context
1. Are teachers more or less accurate in predicting the cognitive skills of students with particular sociodemographic backgrounds? One would expect a certain amount of inaccuracy in teacher perceptions of their students’ skills. But is this error in teacher estimates randomly distributed, or is it systematically related to children’s socio-demographic characteristics?
2. To what extent do teacher characteristics and classroom and school contexts explain teacher perceptual accuracy? For example, are experienced teachers’ better judges of their students’ skills? Are teacher perceptions more accurate in racially, socioeconomically, or academically homogeneous classrooms? In smaller versus larger classrooms? In public versus private schools?
3. How is teacher accuracy influenced by the interplay between student and teacher or classroom characteristics? For instance, are teachers more accurate in estimating the skills of students with whom they share a racial-ethnic back ground? Are teacher assessments of low-SES children less biased in smaller classrooms?
An Organizational Perspective on the Origins of Instructional Segregation: School Composition and Use of Within-Class Ability Grouping in American Kindergartens
Investigate the degree to which racial and ethnic composition of schools is associated with use of ability grouping practices as early as kindergarten.
Which factors contribute to persistence of all students in STEM field majors, and in particular the persistence of women and minorities?
Explored various kinds of individual and school compositional factors that might produce differences in students’ growth in math and eohs math.
Examines variation in ADHD compositional effects as a function of key school factors on reading achievement, mathematics achievement, and teacher-reported levels of externalizing behavior.
Social Reproduction of Inequality: The Racial Composition of Feeder Schools to the University of California
The extent to which there is unevenness in the rate at which individual UC campuses enroll first-time freshmen from HS that vary by racial comp.
Identify the relative contributions of changing family and school characteristics to the narrowing of the gap in black-white test scores over decades.
Investigates the effect of placement in ESL on academic progress and how it varies across school contexts.
Measure segregation in terms of uneveness in racial enrollment patterns both between schools and within schools.
If amicus briefs are to bring relevant social science evidence to the attention of the Court in educational rights litigation, which research studies should be summarized and interpreted in the briefs?
This research examines demographic, academic, attitudinal, andexperiential data from the Cooperative Institutional Research Program (CIRP) for over 12,000 students at two universities to test a methodology for identifying variables showing significant differences between students intending to major in science, technology, engineering, or mathematics (STEM) versus non-STEM subjects. Identifying potential candidates for STEM enrollment necessi-tates a methodology for analyzing databases containing demo-graphic, academic performance, and attitudinal information acrossa wide array of students. Finding variables that are consistently significant predictors of STEM interest and capability across a range of population subgroups requires the ability to examine a large set of variables since some variables may be significant only for specific subgroups.
Effects of housing and school segregation during childhood on academic performance in college.
The Race Gap in Student Achievement Scores: Longitudinal Evidence from a Racially Diverse School District
Examine when and how the Black-White and Hispanic-White test score gaps develop in the early elementary grades in a California school district.
Reviews the research on school composition and peer effects from three comparative perspectives.
Is enrollment of whites in a nonpublic system associated with racial composition? Does it makes a difference for public school that whites are elsewhere?
Tracking Financial Aid and Persistence of Women, Minority, and Needy Students in Science, Engineering, and Mathematics
1) What are the persistence patterns of the special student populations compared to other populations in the same institutional setting? 2) Are the special student populations financing higher education differently than the comparison groups? 3) Are there significant differences in the persistence patterns of SEM and SEM student populations based on the type of aid received? 4) Have the amounts and types of aid received by the special student populations changed over time compared to other student populations?
The purpose of this study was to construct a comprehensive model to investigate why some high-ability minority students follow through with their plans to become scientists and engineers, while others with the same plans do not.