We focus on the use of flourishing as a new measure in studies of pathways in STEM (science, technology, engineering, and mathematical) fields. While the concept of flourishing is promising, the concept may need careful interrogation to ensure it takes structural and personal (cultural, religious, socioeconomic, and racial) differences into account. Our longitudinal study explores emerging adult's educational and career pathways with careful attention to structural inequities, enabling us to productively explore the concept of flourishing in a larger systemic context. Drawing from a set of qualitative interviews with our participants, we explore the ways that our sample of emerging adults (N = 30), predominantly people of color, define and discuss flourishing. The concept resonated with our diverse participants, and a substantial number did report flourishing. But despite the regularity with which the participants described experiencing racism and microaggressions, they did not often mention those harmful experiences when discussing flourishing. We caution that flourishing data on its own may provide an overly rosy image of the pathways and development, especially of young people of color. Our data suggest that it may be especially important to examine flourishing in context with other measures that can flesh out a fuller picture of well-being, especially in relation to race, racism, sexism, or any other experiences related to personal identities. In particular, instruments should be carefully designed to ensure-especially for emerging adults-that all aspects of their lives and identities can be fully understood.

Introduction We conducted research in a post-secondary, large-enrollment science literacy course that asks students to apply multidisciplinary scientific evidence when providing an argument about the potential social and ecological consequences of policy solutions to socioscientific issues (SSI).Methods Coding schemes were developed to describe students' levels of proficiency in constructing arguments about the nature of SSI systems and were created through inductive coding of student arguments about SSI systems embedded within a structured decision-making process.Results The coding schemes included student practices in 1) providing reasoning about the potential consequences of multiple solutions for an SSI, 2) linking evidence to reasoning, and 3) sources of evidence. In the highest level in the reasoning coding scheme, students used clear and traceable scientific evidence to address an assumption by specifying how (a mechanism) or by how much, an SSI solution might satisfy a desired policy objective.Discussion The resulting framework describes how students apply multidisciplinary scientific evidence to support their SSI reasoning, which may aid researchers and educators in exploring how students interpret and integrate scientific evidence in an SSI-context, with the ultimate goal of bolstering students' ability to reason about evidence outside the classroom.

This study explored why students rarely create drawings when learning from science texts despite potential learning benefits. Undergraduates (n = 114) studied a 10-part text on the human respiratory system and took notes by choosing their own strategies (free choice group) or by choosing to create a drawing or write a verbal summary (forced choice group). Other students were instructed to create drawings (draw group) or write summaries (summarize group). All students then completed a series of post-tests. The forced choice group chose to draw significantly more frequently than the free choice group; however, both groups still overwhelmingly chose summarizing. Participants across all groups reported lower prior experience, lower expectancies for success, lower perceived value, and higher perceived cost of drawing compared to summarizing. Students' prior experiences and beliefs about drawing were also associated with how frequently they chose to draw, providing implications for future instructional interventions.

Introduction Models are a primary mode of science communication and preparing university students to evaluate models will allow students to better construct models and predict phenomena. Model evaluation relies on students' subject-specific knowledge, perception of model characteristics, and confidence in their knowledge structures.Methods Fifty first-year college biology students evaluated models of concepts from varying biology subject areas with and without intentionally introduced errors. Students responded with 'error' or 'no error' and 'confident' or 'not confident' in their response.Results Overall, students accurately evaluated 65% of models and were confident in 67% of their responses. Students were more likely to respond accurately when models were drawn or schematic (as opposed to a box-and-arrow format), when models had no intentional errors, and when they expressed confidence. Subject area did not affect the accuracy of responses.Discussion Variation in response patterns to specific models reflects variation in model evaluation abilities and suggests ways that pedagogy can support student metacognitive monitoring during model-based reasoning. Error detection is a necessary step towards modeling competence that will facilitate student evaluation of scientific models and support their transition from novice to expert scientists.

Introduction Although the demand for graduates with Science, Technology, Engineering, and Mathematics (STEM) credentials continues to climb, women remain underrepresented as both students and faculty in STEM higher education. Compounding social forces can hinder organizational change for gender equity in STEM, constraining institutions and individuals within them. This study advances macrostructural theory to examine the impact of gender composition (including group size and heterogeneity) of women faculty on structural change, as measured by gender desegregation of STEM degree earners. We advance this theory by incorporating faculty rank, rather than treating group composition as a static category.Method This study draws on a federal repository of data to assess institutional change in the share of STEM women faculty in the U.S. We employ quasi-experimental methods to explore the following research questions: (1) does hiring more women onto an institution's faculty roster shrink the gender gap among STEM degree earners? and (2) does segregation of faculty by gender within institutions shape the gender gap among STEM degree earners?Findings While institutional efforts herald their efforts of hiring more women faculty, our findings indicate that gender desegregation of STEM degree earners partially depends on the promotion of women faculty to tenure.Discussion Implications for theory, policy, and practice are discussed, with a focus on institutional-level change.

Students with Learning Disabilities (LDs) can experience classroom challenges that may negatively impact their social and emotional development, and these struggles can put them at risk for mental health issues and lower quality of life. Programs designed to support students with LDs need to consider not only academic skills and accommodations, but also the broader well-being of these students. Among interventions that address holistic student development are mentoring programs that utilize peer mentors (older students who also have LDs). The purpose of this article was to review key literature on the potential benefits of peer mentoring for students with LDs. According to reviewed articles, peer mentoring programs have been implemented in both school and university settings. In addition to conferring academic benefits to mentees, participation in these programs is associated with increased emotional well-being, higher self-esteem, and better communication skills among mentees. These programs may also benefit mentors, but these benefits have been understudied. More research is needed to determine the positive benefits of mentoring for mentors and mentees with similar learning characteristics, above and beyond positive benefits of mentorship in general.

Interpersonal skills are essential to engineers’ work as they regularly manage large projects, engage with people, collaborate in teams, and offer vital services to society. This study explores how twelve undergraduate students from migratory/seasonal farmworker (MSFW) backgrounds use their funds of knowledge in the form of interpersonal skills in engineering. An hour-long semi-structured interview protocol was designed and used to understand the funds of knowledge participants brought into their respective engineering classrooms. Using thematic analysis, we found that MSFW students accumulated multiple interpersonal skills, such as teamwork, organizational skills, empathetic practices, work ethic, and communication. This work adds to the existing literature on funds of knowledge and puts MSFW students and their unique assets in engineering at the forefront.

Children’s math performance is strongly correlated with later life outcomes, but early gaps in math skills are stubbornly difficult to close. It is therefore important to identify student math needs early. Using Grade 1–3 student records from Kentucky public schools, the study finds that typically recommended cut scores for widely used early grade math screeners severely under-identify student needs in math. Using optimal cut scores estimated by the Classification and Regression Tree (CART) analysis, the likelihood of under identification of at-risk students decreases by an average of 16 percentage points and sensitivity improves by 28 percentage points. These improvements can be achieved without having to collect new data or administer new assessments.

Limited literature has investigated the effects of state and institutional merit-based financial aid on student choice of science, technology, engineering, and mathematics (STEM) major fields, an unintended consequence with important implications. By leveraging nationally representative longitudinal data from the Beginning Postsecondary Students, we examined these effects-respectively and jointly-with logistic regressions (LR) and propensity score matching (PSM). Both the LR and PSM results showed that students who receive both state- and institution-awarded merit aid were more likely to major in STEM. For students who only received state-awarded merit aid, the PSM presented significant and positive effects while the LR did not. Institution-only merit aid had no statistically measurable effect. We discuss implications for research, policy, and practice for state- and institution-based financial aid.

Knowing how policy-induced salary schedule changes affect teacher recruitment and retention will significantly advance our understanding of how resources matter for K-12 student learning. This study sheds light on this issue by estimating how legislative funding changes in Washington state in 2018-2019-induced by the McCleary court-ordered reform-affected teacher salaries and labor market outcomes. By embedding a simulated instrumental variables approach in a mixed-methods design, we observed that local collective bargaining negotiations directed new state funding allocations to substantially increase certificated base salaries, particularly for senior teachers with 16 years or more of teaching experience. Variability in political power, priorities, and interests of both districts and unions led to greater heterogeneity in teacher salary schedules. Suggestive evidence shows that state average teacher turnover rate was significantly reduced in the first year of reform. The McCleary-induced salary increase particularly reduces mid-career teachers' (8-15 years of teaching experience) mobility rate and late-career teachers' (23+ years of teaching experience) leaving rate. The McCleary-induced base salary increase has mostly null effects on teacher hiring in the first 2 years of implementation.