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This is a report of a National Science Foundation-supported conference about integrating equity into whole school STEM reform. originally planned as an in-person conference in summer of 2020, it was moved to a virtual conference held in the spring of 2022. Researchers, policy-makers, and practitioners shared their visions of equity in STEM over the course of four days spread out over six weeks. The presentations and synthesis shared here set the stage for future empirical studies of equity in STEM education and whole-school reform. Findings from these presentations are primarily informal, as per our goal of providing concrete, practical findings for a broad audience of leaders, teachers, school staff and community partners, parents, and researchers.

STEM education programs are often formulated with a "hands-on activities" focus across a wide array of topics from robotics to rockets to ecology. Traditionally, the impact of these programs is based on surveys of youth on program-specific experiences or the youths’ interest and impressions of science in general. In this manuscript, we offer a new approach to analyzing science programming design and youth participant impact. The conceptual framework discussed here concentrates on the organization and analysis of common learning activities and instructional strategies. We establish instrument validity and reliability through an analysis of validity threats and pilot study results. We conclude by using this instrument in an example analysis of a STEM education program.

Participation on a robotics team affords students the opportunity to learn science and engineering skills in a competition-based environment. Mentors on these robotics teams play important roles in helping students acquire these skills. This study used an apprenticeship learning theory to examine how mentors on one high school robotics team contributed to students attaining the knowledge associated with designing and building a robot for competition. How active of a role did mentors play on their competition-based robotics team? How did mentors and students together handle the challenges they faced? The mentor-student interactions detailed in the research revealed an apprenticeship model where mentors played leadership roles reluctant to move beyond modeling tasks to students. The mentors’ roles bring into question if they were granting their students the full opportunities to develop skills associated with working on a robot. Despite these developmental concerns, the students on the team gradually took up simple tasks working side-by-side mentors, saw expert engineers model professional habits, and expressed being inspired while contributing to a winning team.

Aim/Purpose: In response to widespread efforts to increase the size and diversity of the biomedical-research workforce in the U.S., a large-scale qualitative study was conducted to examine current and former students’ training experiences in MD (Doctor of Medicine), PhD (Doctor of Philosophy), and MD-PhD dual-degree programs. In this paper, we aimed to describe the experiences of a subset of study participants who had dropped out their MD-PhD dual-degree training program, the reasons they entered the MD-PhD program, as well as their reasons for discontinuing their training for the MD-PhD. Background: To our knowledge, the U.S. has the longest history of MD-PhD dual-degree training programs dating back to the 1950s and produces the largest number of MD-PhD graduates in the world. Integrated dual-degree MD-PhD programs are offered at more than 90 medical schools in the U.S., and historically have included three phases – preclinical, PhD-research, and clinical training, all during medical-school training. On average, it takes eight years of training to complete requirements for the MD-PhD dual-degree. MD-PhD students have unique training experiences, different from MD-only or PhD-only students. Not all MD-PhD students complete their training, at a cost to funding agencies, schools, and students themselves. Methodology: We purposefully sampled from 97 U.S. schools with doctoral programs, posting advertisements for recruitment of participants who were engaged in or had completed PhD, MD, and MD-PhD training. Between 2011 and 2013, semi-structured, one-on-one phone interviews were conducted with 217 participants. Using a phenomenological approach and inductive, thematic analysis, we examined students’ reasons for entering the MD-PhD dual-degree program, when they decided to leave, and their reasons for leaving MD-PhD training. Contribution: Study findings offer new insights into MD-PhD students’ reasons for leaving the program, beyond what is known about program attrition based on retrospective analysis of existing national data, as little is known about students’ actual reasons for attrition. By more deeply exploring students’ reasons for attrition, programs can find ways to improve MD-PhD students’ training experiences and boost their retention in these dual-degree programs to completion, which will, in turn, foster expansion of the biomedical-research-workforce capacity. Findings: Seven participants in the larger study reported during their interview that they left their MD-PhD programs before finishing, and these were the only participants who reported leaving their doctoral training. At the time of interview, two participants had completed the MD and were academic-medicine faculty, four were completing medical school, and one dropped out of medicine to complete a PhD in Education. Participants reported enrolling in MD-PhD programs to work in both clinical practice and research. Very positive college research experiences, mentorship, and personal reasons also played important roles in participants’ decisions to pursue the dual MD-PhD degree. However, once in the program, positive mentorship and other opportunities that they experienced during or after college, which initially drew candidates to the program was found lacking. Four themes emerged as reasons for leaving the MD-PhD program: (1) declining interest in research, (2) isolation and lack of social integration during the different training phases, (3) suboptimal PhD-advising experiences, and (4) unforeseen obstacles to completing PhD research requirements, such as loss of funding. Recommendations for Practitioners: Though limited by a small sample size, findings highlight the need for better integrated institutional and programmatic supports for MD-PhD students, especially during PhD training. Recommendation for Researchers: Researchers should continue to explore if other programmatic aspects of MD-PhD training (other than challenges experienced during PhD training, as discussed in this paper) are particularly problematic and pose challenges to the successful completion of the program. Impact on Society: The MD-PhD workforce comprises a small, but highly trained cadre of physician-scientists with the expertise to conduct clinical and/or basic science research aimed at improving patient care and developing new diagnostic tools and therapies. Although MD-PhD graduates comprise a small proportion of all MD graduates in the U.S. and globally, about half of all MD-trained physician-scientists in the U.S. federally funded biomedical-research workforce are MD-PhD-trained physicians. Training is extensive and rigorous. Improving experiences during the PhD-training phase could help reduce MD-PhD program attrition, as attrition results in substantial financial cost to federal and private funding agencies and to medical schools that fund MD-PhD programs in the U.S. and other countries. Future Research: Future research could examine, in greater depth, how communications among students, faculty and administrators in various settings, such as classrooms, research labs, and clinics, might help MD-PhD students become more fully integrated into each new program phase and continue in the program to completion. Future research could also examine experiences of MD-PhD students from groups underrepresented in medicine and the biomedical-research workforce (e.g., first-generation college graduates, women, and racial/ethnic minorities), which might serve to inform interventions to increase the numbers of applicants to MD-PhD programs and help reverse the steady decline in the physician-scientist workforce over the past several decades.

Background The purpose of this article is to describe neonatal intensive care unit clinician perceptions of a continuous predictive analytics technology and how those perceptions influenced clinician adoption. Adopting and integrating new technology into care is notoriously slow and difficult; realizing expected gains remain a challenge. Methods Semistructured interviews from a cross-section of neonatal physicians (n = 14) and nurses (n = 8) from a single U.S. medical center were collected 18 months following the conclusion of the predictive monitoring technology randomized control trial. Following qualitative descriptive analysis, innovation attributes from Diffusion of Innovation Theory-guided thematic development. Results Results suggest that the combination of physical location as well as lack of integration into work flow or methods of using data in care decisionmaking may have delayed clinicians from routinely paying attention to the data. Once data were routinely collected, documented, and reported during patient rounds and patient handoffs, clinicians came to view data as another vital sign. Through clinicians' observation of senior physicians and nurses, and ongoing dialogue about data trends and patient status, clinicians learned how to integrate these data in care decision making (e.g., differential diagnosis) and came to value the technology as beneficial to care delivery. Discussion The use of newly created predictive technologies that provide early warning of illness may require implementation strategies that acknowledge the risk–benefit of treatment clinicians must balance and take advantage of existing clinician training methods.

Despite the fact that most science learning takes place outside of school, little is known about how engagement in informal science learning (ISL) experiences affects learners’ knowledge, skill development, interest, or identities over long periods of time. Although substantial ISL research has documented short-term outcomes such as the learning that takes place during a science center visit, research suggests that the genuine benefits of informal experiences are long-term transformations in learners as they pursue a “cascade” of experiences subsequent to the initial educational event. However, a number of major methodological challenges have limited longitudinal research projects investigating the long-term effects of ISL experiences. In this paper we identify and address four key issues surrounding the critical but challenging area of how to study and measure the long-term effects or impacts of ISL experiences: attribution, attrition, data collection, and analytic approaches. Our objective is to provide guidance to ISL researchers wishing to engage in long-term investigations of learner outcomes and to begin a dialogue about how best to address the numerous challenges involved in this work.

Research shows that early scientific interest is associated with science degree completion and career selection. However, little is known about the conditions that support early scientific interest. Using a “funds of knowledge” theoretical framework, this study examined the role of parents, family, and extended social networks in fostering early interest in science. Using interview narratives from 116 scientists (physicists and chemists) in the United States, we conducted a qualitative thematic content analysis. Findings suggest that children who become scientists in adulthood often received early, informal opportunities to use and manipulate material objects and discover how the world works. Second, families used a wide variety of scientific terms at home and encouraged children to pursue their interests whether in science or other fields. Third, these future scientists were often networked with extended family members or friends to observe and do science when they were quite young. Collectively, these findings highlight the specific ways in which families fostered early scientific interest and aided in supporting a student-directed learning environment.

In the intensive care unit, clinicians monitor a diverse array of data inputs to detect early signs of impending clinical demise or improvement. Continuous predictive analytics monitoring synthesizes data from a variety of inputs into a risk estimate that clinicians can observe in a streaming environment. For this to be useful, clinicians must engage with the data in a way that makes sense for their clinical workflow in the context of a learning health system (LHS). This article describes the processes needed to evoke clinical action after initiation of continuous predictive analytics monitoring in an LHS.

In longitudinal studies, measurement invariance is required to conduct substantive comparisons over time or across groups. In this study, we examined measurement invariance on a recently developed instrument capturing student preferences for seven instructional strategies related to science learning and career interest. We have labeled these seven instructional strategies as Collaborating, Competing, Caretaking, Creating/Making, Discovering, Performing, and Teaching. A better understanding of student preferences for particular instructional strategies can help educators, researchers, and policy makers deliberately tailor programmatic instructional structure to increase student persistence in the STEM pipeline. However, simply confirming the relationship between student preferences for science instructional strategies and their future career choices at a single time point is not sufficient to clarify our understanding of the relationship between instructional strategies and student persistence in the STEM pipeline, especially since preferences for instructional strategies are understood to vary over time. As such, we sought to develop a measure that invariantly captures student preference over a period of time: the Framework for Observing and Categorizing Instructional Strategies (FOCIS). We administered the FOCIS instrument over four semesters over two middle school grades to 1009 6th graders and 1021 7th graders and confirmed the longitudinal invariance of the FOCIS measure. This confirmation of longitudinal invariance will allow researchers to examine the relationship between student preference for certain instructional strategies and student persistence in the STEM pipeline.

This study examined a new form of pervasive gender inequality: the gender gap among high achievers in math and considered its implication for developing STEM talents. Using the cross-nation Programme for International Student Achievement (PISA) data from both 2003 and 2012, we examined the mathematics gender gap among 15-year-old high achievers across ten countries/regions. We showed a consistent male advantage among the top performers in mathematics. Follow-up regression analyses revealed that the gap was associated with some socio-demographic and schooling/attitudinal variables, even after controlling for the background variables. We argue that education communities should acknowledge and address this form of gender inequality, as it could have ramifications for the science, technology, engineering, and mathematics (STEM) education pipeline. Educators and society in general still face challenges in closing the gender gap among high achievers in math with an aim to develop a gender-balanced STEM talent pool.

Existing research has examined if undergraduate factors influence chemistry and physics, or physical science, doctoral degree entry and whether variables during PhD programs associate with graduation. Yet research on the transition from bachelor’s degree to doctoral degree entry (i.e., PhD entry in less than 6 months, attainment of a master’s degree prior to doctoral degree entry, or working in a science-related job for more than a year prior to doctoral degree entry) on PhD degree graduation remains scarce. Our study examines the transition from bachelor’s to doctoral degrees to see if experiences therein associate with female PhD graduation, after doctoral degree enrollment. Our logistic regression analysis, of female chemistry and physics doctorates ( n = 867), indicated that attainment of a master’s degree did not change the likelihood of graduation, when compared to direct entry into physical science doctoral programs. Meanwhile working in a science-related job for a year or more is associated with a significantly lower likelihood of physical science doctoral graduation when compared to women who entered directly into PhD programs or received a master’s degree prior to enrollment.

Recent research and public policy have indicated the need for increasing the physical science workforce through development of interest and engagement with informal and formal science, technology, engineering, and mathematics experiences. This study examines the association of family education and physical scientists’ informal experiences in science along with the association of informal family science experiences and early initial interest in science through multiple and logistic regression analyses. Research questions addressed are as follows: Controlling for demographic variables, do physical scientists parents’ level of education associate with participation in informal family science experiences? And which informal family science experiences are associated with physical scientists that report an initial personal interest in science by elementary school? These questions are analyzed with survey data from Project Crossover (N = 4,285), a sequential mixed-methods study that examines factors influencing ...

Mentors play important roles in determining the working environment of out-of-school-time clubs. On robotics teams, they provide guidance in hopes that their proteges progress through an engineering process. This study examined how mentors on one robotics team who defined their mentoring style as ‘let the students do the work’ navigated the challenges of a ‘build season’ and participation in regional competitions. What were some of the challenges faced by mentors and students? How did they cope when students played the largest role in team and design decisions? The mentor–student interactions captured in the research showed mentors playing supporting roles while students took command of all aspects of building the robot. The students on the team found themselves self-directing, learning, and gaining confidence by doing, and having fun with like-minded peers.

MD–PhD training takes, on average, 8 years to complete and involves two transitions, an MD-preclinical to PhD-research phase and a PhD-research to MD-clinical phase. There is a paucity of research about MD–PhD students’ experiences during each transition. This study examined transition experiences reported by 48 MD–PhD students who had experienced at least one of these transitions during their training. We purposefully sampled medical schools across the United States to recruit participants. Semistructured interviews were audio-recorded and transcribed for analysis; items focused on academic and social experiences within and outside their programs. Using a phenomenological approach and analytic induction, we examined students’ transition experiences during their MD–PhD programs. Five broad themes emerged centering on multiple needs: mentoring, facilitating integration with students in each phase, integrating the curriculum to foster mastery of skills needed for each phase, awareness of cultural differences between MD and PhD training, and support. None of the respondents attributed their transition experiences to gender or race/ethnicity. Students emphasized the need for mentoring by MD–PhD faculty and better institutional and program supports to mitigate feelings of isolation and help students relearn knowledge for clinical clerkships and ease re-entry into the hospital culture, which differs substantially from the research culture.

Self-directed learning is described as an individual taking the initiative to engage in a learning experience while assuming responsibility to follow through to its conclusion. Robotics competitions are examples of informal environments that can facilitate self-directed learning. This study examined how mentor involvement, student behavior, and physical workspace contributed to self-directed learning on one robotics competition team. How did mentors transfer responsibility to students? How did students respond to managing a team? Are the physical attributes of a workspace important? The mentor, student, and workplace factors captured in the research showed mentors wanting students to do the work, students assuming leadership roles, and the limited workspace having a positive effect on student productivity.

The purpose of this study is to investigate the association between self-efficacy and maintenance of interest in science, technology, engineering, and mathematics (STEM) resulting in completion of an undergraduate degree in a science related area. To pursue this analysis, the researchers surveyed 3,510 graduates from selective specialized science high schools within the United States as well as 603 same age participants in Talent Search programs who did not graduate from a specialized science high school. Using binary logistic regression analysis, the researchers identified individual-level variables associated with the decision by both groups of high-ability adolescents to earn an undergraduate degree in STEM. These variables include self-efficacy and stability of interest in science, mathematics, and/or technology, and suggest that both specialized science high schools and Talent Search programs both serve equally well as incubators of talent for adolescents with a proclivity for STEM related disciplines.

PURPOSE To describe educational outcomes for a national cohort of students who enrolled in MD-PhD programs at medical school matriculation (MD-PhD matriculants). METHOD The authors used multivariate logistic regression to identify factors independently associated with overall MD-PhD program attrition (MD-only graduation or medical school withdrawal/dismissal) compared with MD-PhD program graduation among the 1995-2000 national cohort of MD-PhD matriculants at medical schools with and without Medical Scientist Training Program (MSTP) support. RESULTS Of 2,582 MD-PhD matriculants, 1,885 (73.0%) were MD-PhD graduates, 597 (23.1%) were MD-only graduates, and 100 (3.9%) withdrew/were dismissed from medical school by July 2011. MD-PhD matriculants at non-MSTP-funded schools (adjusted odds ratio [AOR], 1.96; 95% confidence interval [CI], 1.60-2.41) and who had lower Medical College Admission Test scores (< 31 versus ≥ 36: AOR, 1.60; 95% CI, 1.20-2.14; 31-33 versus ≥ 36: AOR, 1.31; 95% CI, 1.01-1.70) were more likely to leave the MD-PhD program; matriculants who reported greater planned career involvement in research (AOR, 0.65; 95% CI, 0.51-0.84) and matriculated more recently (AOR, 0.90; 95% CI, 0.85-0.96) were less likely to leave the MD-PhD program. Gender, race/ethnicity, and premedical debt were not independently associated with overall MD-PhD program attrition. CONCLUSIONS Most MD-PhD matriculants completed the MD-PhD program; most of those who left were MD-only graduates. Findings regarding variables associated with attrition can inform efforts to recruit and support students through successful completion of MD-PhD program requirements.

This pilot study investigated the use of juxtaposed think aloud and eye-gaze tracki ng to understand a possible different understanding of think aloud process of participants. Four participants completed eight multiple-choice science questions while thinking aloud and having their eye-gazes tracked. Analysis of the data revealed tha t participants had behaviors such as fore telling of an eye movement, pauses in the think-aloud, different duration of the think-a loud, and the interaction between the think-aloud and associated eye movements. These findings suggest that juxtaposed think aloud and eye-gaze tracking may be a useful approach to furthering our understanding of students' problem solving behaviors. Selection and peer review under responsibility of Prof. Dr. Ferhan Odaba

This exploratory qualitative study investigated how doctoral students reported their personal and professional interaction experiences that they believed might facilitate or impede their academic pursuits in biomedical research. We collected 19 in-depth interviews with doctoral students in biomedical research from eight universities, and we based our qualitative analytic approach on the work of Miles and Huberman. The results indicated that among different sources and types of interaction, academic and emotional interactions from family and teachers in various stages essentially affected students’ persistence in the biomedical science field. In addition, co-mentorship among peers, departmental environment, and volunteer experiences were other essential factors. This study also found related experiences among women and underrepresented minority students that were important to their academic pursuit.

With recent attention to improving scientific workforce development and student achievement, there has been a rise in effort to understand and encourage student engagement in physical science. This study examines the association of family influence and initial interest in science through multiple and logistic regression models. Research questions addressed include Controlling for demographic variables, are physical science doctoral students or scientists who report family as a primary source of interest in science, as opposed to those that do not, more likely to develop an early interest in science? And what specific forms of family support are associated with doctoral students or scientists who report family as a primary source of initial interest in science? The study uses survey data from Project Crossover (n = 4,285), a sequential mixed methods study that examines factors influencing entrance into physical science doctoral programs as well as the transition from graduate students to independent researcher. Results suggest that family interest in science facilitates earlier initial interest in science. Further analyses show that family influence shifts from parental occupation as the primary source of interest for the older generation of scientists to one of three influences (occupation, diversion or hobby, and encouragement) among doctoral students. © 2013Wiley Periodicals, Inc. Sci Ed 97:395–409, 2013

This study addresses the association between middle-school students' reported participation in science summer programmes and their reported expectation of a career in science and engineering. Data were collected on 1,580 students from eight middle schools in five states, applying an accelerated longitudinal design. Two consecutive cohorts were sampled over a two-year period time. Logistic regression analysis was used to examine the relationship between students' participation in science summer camps and their career interest in science and engineering while initial career interest and background information were considered. Results indicate that students who participated in science summer camps before or in the first year of the study, compared to students who did not, are significantly more likely to report science and engineering as their future career field in the second year of the study. It appears that students who once participated in science summer camps were more likely to later report a career i...

Children’s early science interest begins well before middle school, and parents can be important in generating and sustaining such interest. This qualitative study addresses how parental occupations shape physical scientists’ early science interest. Our framework uses Social Cognitive Career Theory, and our research question is, “How do parental occupations create learning opportunities for children and motivate them to pursue physical science?” We examine interviews from 17 physical scientists in Project Crossover, a sequential mixed-methods study that broadly examines factors influencing entry into physics and chemistry doctoral programs. Parental occupations can create learning opportunities through role modeling, encouragement, exposure, familiarity, and bonding. Thus, parents can be valuable in creating learning opportunities for children outside classrooms. Study limitations include a small sample and lack of information about familial structure. Our research contributes to the emergent understanding of the role of parental occupations in science interest, which further influences individual career trajectories.

The loss of talented women from the science, technology, engineering, and mathematics (STEM) pipeline has been widely recognized within science education as a pressing issue, particularly in the physical sciences. To provide a gender-based perspective of a popular educational device, the present study evaluated undergraduate research experiences (UREs) from a longitudinal perspective in respect to participation, learning enhancements, and contribution to the pursuit of a postgraduate education. Data from practicing scientists and graduate students indicated that women were more likely to participate in these research programs than their male counterparts. Of those who had participated (n = 1829), similar patterns in conferred gains for men and women were reported; however, gender-based variations were observed within items associated with self-efficacy, science interest, and the practice of authentic research. Women were found to identify UREs as a primary reason for entering graduate school at a significantly higher rate than their male counterparts. Results of this study suggest the long-term efficacy of UREs as a gateway for women interested in STEM careers and provide support in justifying research programs and initiatives for women in traditionally male-dominated fields.

Spurred by concerns about an inadequately sized science, technology, engineering, and mathematics (STEM) workforce, there has been a growing interest in out-of-school time (OST) science activities as a means to foster STEM career interest. This study examines the association between OST science activities and STEM career interest in university through a logistic regression model and the calculation of prototypical odds ratios. The analysis addresses two main research questions: What is the correlation among different forms of OST activities? And, controlling for student demographic and background variables, what specific forms of OST activities are associated with STEM career interest in university? The study uses data from the ‘Persistence Research in Science and Engineering’ survey (n = 6882), which employs a nationally representative sample of university students enrolled in introductory English courses. Results indicate that students’ participation in OST activities, as well as their middle school int...

This retrospective cohort study characterizes how interest in science, technology, engineering, mathematics (STEM) careers changes during high school for more than 6,000 students in a representative national sample of 34 two- and four-year colleges taking mandatory college English courses. Overall, large gender differences in career plans were found, with males showing far more interest particularly in engineering, whereas females were more attracted to careers in health and medicine during their high school years. The key factor predicting STEM career interest at the end of high school was interest at the start of high school. There was an additional effect of gender, indicating both a lower retention of STEM career interest among females and a greater difficulty in attracting females to STEM fields during high school. During the high school years, the percentage of males interested in a STEM career remained stable (from 39.5 to 39.7), whereas for females it declined from 15.7 to 12.7. The students' initial specific (disciplinary) career interests were found to influence the stability of their interest in a STEM career, with those interested in physics careers at the start of high school having the highest retention in STEM. © 2012 Wiley Periodicals, Inc. Sci Ed 96:411–427, 2012

Even with the history of debate over the merits of homework, there are significant gaps in the research record regarding its benefit to students. The focus of this study is on the association between time spent on homework and academic performance in science and math by assessing survey and transcript data from two nationally representative samples of high school students collected in 1990 and 2002. Using multiple linear regressions and controlling for students’ background, motivation, and prior achievement, we investigated how much variance in science and math course grades and achievement test scores could be explained by time spent on homework in those classes. The results indicate that there is no consistent significant relationship between time spent on homework and grades, but a consistently positive significant relationship between homework and performance on standardized exams.

Using data from a national survey of Ph.D.-holding chemists and physicists, time-to-doctoral degree is found to be a strong predictor of salary: each additional year in graduate school corresponds to a significantly lower average salary. This is true even while controlling for standard measures of scientific merit (grant funding and publication rates) and several other factors expected to influence salaries (field of research, type of position and rank, type of employing institution, years of seniority, and age). This picture is complicated by the inclusion of gender in the analysis, which reveals that women earn significantly less than men overall and experience no effect of doctoral completion time on their salaries, while men do see a significant gain in salary stemming from earlier completion times. Further investigation indicates that doctoral completion time is largely unconnected to measures of prior academic success, research independence, and scientific merit. This suggests that doctoral completion time is, to a great extent, out of the control of individual graduate students. Nonetheless, it can be influential on an individual's future career prospects, as can gender-related effects.

In a climate where increasing numbers of students are encouraged to pursue post-secondary education, the level of preparedness students have for college-level coursework is not far from the minds of all educators, especially high school teachers. Specifically within the biological sciences, introductory biology classes often serve as the gatekeeper or a pre-requisite for subsequent coursework in those fields and pre-professional programmes (eg pre-medicine or pre-veterinarian). Thus, how helpful high school science and mathematics experiences are in preparing students for their introductory biology classes is important and relevant for teachers, science educators and policy makers alike. This quantitative study looked at the association between students' high school science and mathematics experiences with introductory college biology performance. Using a nationally representative sample of US students (n = 2667) enrolled in 33 introductory college biology courses, a multi-level statistical model was deve...

As the global economic crisis continues, sustaining the United States' position as a leader in research and development is a top concern of policy makers. Looking to increase the number of students pursuing degrees in STEM (science, technology, engineering, and mathematics), calls for improved mathematics and science education abound. We completed a two-part analysis to assess the school-based factors related to students choosing to complete a major in STEM. The results indicate that the majority of students who concentrate in STEM make that choice during high school, and that choice is related to a growing interest in mathematics and science rather than enrollment or achievement. These results indicate that the current policy focus on advanced-level course taking and achievement as measures to increase the flow of students into STEM may be misguided. © 2011 Wiley Periodicals, Inc. Sci Ed95:877–907, 2011

Laboratory experiences play a substantial role in most high school science courses, and many teachers believe the number of labs they offer is a measure of the quality of their curriculum. While some teachers believe labs are meant to confirm concepts taught during lectures, others feel labs should address students' everyday beliefs about the world. Still other teachers emphasize learning of the scientific method and laboratory techniques.1 Accordingly, many articles offer advice on “effective” pedagogical practices.2–5

Specialized public high schools of science, mathematics, and technology are commonly viewed as the “crown jewel” of their respective school districts and, many times, of their respective states. These schools are intended to coalesce the most academically talented, science-focused students in each district or state and typically draw excellent teachers as well. As the nation considers policies to address Science, Technology, Engineering, and Mathematics (STEM) education issues, options for additional functions are likely to arise. Currently no existing studies provide a comprehensive analysis of the contribution these schools make over and above regular high schools to the STEM pipeline. This article presents the extant literature on variables that have been shown to predict participation in STEM careers on the part of adolescents in and out of specialized high schools. The literature review is followed by a description of a recently embarked 3-year National Science Foundation (NSF)-sponsored study design...

In this study, the evaluation of high school biology, chemistry, and physics teachers by their students is examined according to the gender of the student and the gender of the teacher. Female teachers are rated significantly lower than male teachers by male students in all three disciplines, whereas female students underrate female teachers only in physics. Interestingly, physics is also the field that suffers the greatest lack of females and has been criticized most for its androcentric culture. The gender bias in teacher ratings persists even when accounting for academic performance, classroom experiences, and family support. Furthermore, male and female teachers in each discipline appear equally effective at preparing their students for future science study in college, suggesting that students have a discipline-specific gender bias. Such a bias may negatively impact female students and contribute to the loss of females in science, technology, engineering, and mathematics fields. C

This paper examines the experiences reported by scientists and graduate students regarding the experiences that first engaged them in science. The interviews analysed for this paper come from Project Crossover, a mixed‐methods study of the transition from graduate student to PhD scientist in the fields of chemistry and physics. This analysis involved review of 116 interviews collected from graduate students and scientists and focused on the timing, source, and nature of their earliest interest in science. The majority (65%) of participants reported that their interest in science began before middle school. Females were more likely to report that their interest was sparked by school‐related activities, while most males recounted self‐initiated activities. Our findings indicate that current policy efforts (which focus on high school science reform) to increase the numbers of students studying in the science fields, may be misguided.

This US study investigates interactive associations between structure in inquiry‐type learning activities and academic attainment in high school science with introductory college science performance as the outcome. Past studies of this type have tended to use smaller samples and shorter‐range methods of assessing the influence of interactions. This study used a large‐scale nationally representative sampling of science students and investigated the existence of long‐range associations between high school and college. Replicated across three different disciplinary data‐sets (biology, chemistry, and physics) totaling over 8,000 surveys, the analysis discovered an interaction between structure and attainment associated with differences in long‐range student performance. The implications for these findings in terms of theory and practise are discussed in the conclusions.

This study relates the performance of college students in introductory science courses to the amount of content covered in their high school science courses. The sample includes 8310 students in introductory biology, chemistry, or physics courses in 55 randomly chosen U.S. colleges and universities. Students who reported covering at least 1 major topic in depth, for a month or longer, in high school were found to earn higher grades in college science than did students who reported no coverage in depth. Students reporting breadth in their high school course, covering all major topics, did not appear to have any advantage in chemistry or physics and a significant disadvantage in biology. Care was taken to account for significant covariates: socioeconomic variables, English and mathematics proficiency, and rigor of their preparatory high science course. Alternative operationalizations of depth and breadth variables result in very similar findings. We conclude that teachers should use their judgment to reduce coverage in high school science courses and aim for mastery by extending at least 1 topic in depth over an extended period of time. © 2008 Wiley Periodicals, Inc. Sci Ed93:798–826, 2009

The disparity in persistence between males and females studying physics has been a topic of concern to physics educators for decades. Overall, while female students perform as well as or better than male students,1 they continue to lag considerably in terms of persistence. The most significant drop in females studying physics occurs between high school and college.2 Since most female physicists report that they became attracted to physics and decided to study it further while in high school, according to the International Study of Women in Physics,3 it is problematic that high school is also the stage at which females begin to opt out at much higher rates than males. Although half of the students taking one year of physics in high school are female, females are less likely than males to take a second or Advanced Placement (AP) physics course.4 In addition, the percentage of females taking the first physics course in college usually falls between 30% and 40%.1 In other words, although you may see gender parity in a first high school physics course, this parity does not usually persist to the next level of physics course. In addition, even if there is parity in a high school physics course, it does not mean that males and females experience the course in the same way. It is this difference in experience that may help to explain the drop in persistence of females.

Honors and advanced placement (AP) courses are commonly viewed as more demanding than standard high school offerings. Schools employ a range of methods to account for such differences when calculating grade point average and the associated rank in class for graduating students. In turn, these statistics have a sizeable impact on college admission and access to financial aid. The authors establish the relationship between the grade earned and type of high school science course taken for 7,613 students by modeling their later performance in an introductory college course. The sample is drawn from more than 100 introductory science courses at 55 randomly chosen college and universities. Accounting for variations in college grading systems, strong evidence is found in favor of the practice of adding bonus points to students’ high school course grades in the sciences, namely, on a 4-point scale, 1 point for AP courses and .5 for honors courses.