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Traditional gender roles and gender stereotypes assume different life and career priorities among men and women. Meanwhile, the science profession is commonly considered to abide by a universalist ethos and a meritocracy that is independent of gender. We examined whether men and women scientists held different ideals about the good life and about good science. Furthermore, we investigated if those ideals of good life and of good science were linked in the minds of scientists; and if the linkages differed by gender. This study used a structural topic modeling approach to analyze the interview transcripts of 108 women and 92 men elite scientists who had received highly prestigious postdoctoral fellowships during the 1960s and1970s. In the open-ended interviews, the scientists were asked to describe their ideals of good life and of good science. Regarding the good life, we found that women scientists focused more on enjoying life and relationships and less on intellectual stimulation, relative to men scientists. For good science, women scientists focused more on empirical procedural accuracy and less on basic and fundamental breakthroughs, relative to men scientists. Moreover, we found that women scientists exhibited correlations between life and science ideals, whereas the two domains were completely separate for men scientists. In conclusion, a gendered system of life and science ideals existed even among this group of highly promising scientists.

 

Digital media are pervasive in the lives of young people and provide opportunities for them to learn about STEM. Multiple theories argue that the STEM media environment may shape how youth see a STEM career in their future. Yet, little is known about how pre-college digital media consumption may be related to students’ STEM career interest at the beginning of college. The wide variety of STEM media also raises the question of potentially different effects and pathways by media type. In this study, we collected a nationally representative sample of more than 15,000 students in their first year in U.S. colleges and universities. We asked about their career interests at the beginning of college and also asked them to retrospectively report their STEM media consumption during high school.

We found that watching STEM-related TV and online videos, as well as playing STEM-related video games during high school, were positively associated with students’ STEM career interests at the beginning of college. However, we also found that STEM media consumption did not impact directly on STEM career interest, but acted through two intermediaries: STEM identity (I and others see me as a STEM person) and three personal career outcome expectations: a high interest in self-development (enhancement and use of talents), and low interests in material status (money, fame, power) and in interpersonal relationships (helping, and working with, other people).

This study finds that STEM media have a significant effect in fostering STEM career interest, with most of the effect coming from STEM TV, STEM video viewing, and STEM video games. The effect is mediated mainly through students’ identity and, to a lesser extent, through personal values, such as self-development, material, and interpersonal relationship values. This study suggests that media communication should be mindful of how different platforms may deliver nuanced and varied messages of what STEM careers may afford and who can succeed in STEM.

 

Informal STEM learning experiences (ISLEs), such as participating in science, computing, and engineering clubs and camps, have been associated with the development of youth’s science, technology, engineering, and mathematics interests and career aspirations. However, research on ISLEs predominantly focuses on institutional settings such as museums and science centers, which are often discursively inaccessible to youth who identify with minoritized demographic groups. Using latent class analysis, we identify five general profiles (i.e., classes) of childhood participation in ISLEs from data reported by a nationally representative sample of college students (N= 15,579). Results show that childhood participation in specific typologies of ISLEs (i.e., setting and activity type) is associated with youth's disciplinary interests at the end of high school. Participation in outdoor activities that invite observation is more often reported by female respondents and is negatively associated with interest in computing and mathematics. Participation in indoor activities that invite object manipulation is more often reported by male respondents and is positively associated with interest in computing and engineering. However, frequent participation in multiple ISLEs is positively associated with interest in “science.” These results elucidate stereotypical discourses that reinforce the exclusion of minoritized students and expose critical areas needing reform.

 

The United States continues to invest considerable resources into developing the next generation of science, technology, engineering, and mathematics (STEM) talent. Efforts to shore up interest in pursuing STEM careers span decades and have increasingly focused on boosting interest among diverse student populations. Policymakers have called for engaging students in a greater STEM ecology of support that extends beyond the traditional classroom environment to increase student STEM career interest. Yet, few robust studies exist exploring the efficacy of many programmatic efforts and initiatives outside the regular curriculum intended to foster STEM interest. To maximize STEM education investments, promote wise policies, and help achieve the aim of creating STEM learning ecosystems that benefit diverse student populations and meet the nation’s STEM goals, it is crucial to examine the effectiveness of these kinds of STEM education initiatives in promoting STEM career aspirations.

The purpose of this quasi-experimental study was to examine the impact of one popular, yet understudied, STEM education initiative on students’ STEM career aspirations: participation in a university- or college-run STEM club or program activity (CPA) during high school. Specifically, we studied whether participation in a college-run STEM CPA at a postsecondary institution during high school was related to college-going students’ STEM career aspirations, and we examined whether that relationship differed depending on student characteristics and prior STEM interests.

We conducted a quasi-experimental investigation to explore the impact of participation in university- or college-run STEM CPAs on college-going students’ STEM career aspirations. We administered a retrospective cohort survey to students at 27 colleges and universities nationwide resulting in a sample of 15,847 respondents. An inverse probability of treatment weighted logistic regression model with a robust set of controls was computed to estimate the odds of expressing STEM career aspirations among those who participated in college-run STEM CPAs compared with the odds expressed among students who did not participate. Our weighting accounted for self-selection effects.

Quasi-experimental modeling results indicated that participation in university- or college-run STEM CPAs had a significant impact on the odds that college-going students would express STEM career aspirations relative to students who did not participate. The odds of expressing interest in a STEM career among participants in STEM CPAs were 1.49 times those of the control group. Robustness checks confirmed our results. The result held true for students whether or not they expressed interest in STEM careers prior to participation in STEM CPAs, and it held true across a diverse range of student characteristics (e.g., race, parental education, gender, standardized test scores, and family/school encouragement).

Results suggest that university- and college-run STEM CPAs play an important role in the STEM education ecology, serving the national goal of expanding the pool of college-going students who aspire to STEM careers. Moreover, results showed that participation in university- and college-run STEM CPAs during high school is equally effective across diverse student characteristics. Policymakers, educators, and those charged with making investment decisions in STEM education should seriously consider university- and college-run STEM CPAs as a promising vehicle to promote diverse students’ STEM career aspirations in the broader STEM learning ecosystem and as an important complement to other STEM learning environments.

 

Computer science (CS) has been identified as one of the fastest-growing professions, with demand for CS professionals far outpacing the supply of CS graduates. The necessity for a trained CS workforce has compelled industry and academia to evaluate strategies for broadening participation in CS. The current literature in CS education emphasizes the importance of social relationships and supports for individuals from underrepresented groups. Unfortunately, this literature has largely been limited to either the exploration of issues of women or that of underrepresented racial/ethnic groups. These limited views generalize characteristics of specific underrepresented groups without considering intersections between these groups. This quantitative study ( n = 3,206) addressed that shortcoming by leveraging inferential statistical methods to examine (i) the similarities and differences between the social CS-related experiences of Black women, Black men, and non-Black women in the United States; (ii) the relationship between these experiences and CS career choices; and (iii) the activities during which significant social experiences might occur. The results indicate that Black women's social experiences are often different from the experiences of both Black men and non-Black women. In particular, both Black men and non-Black women had more CS friends than Black women, whereas having these friends was more significant for the CS career choice for Black women. Introductions to CS in school, before college, were negatively related to career choice for all groups, whereas home support was positive for both Black women and men. This work suggests that considering intersectionality is important to understanding the needs of different individuals, as well as the importance of social supports for persistence in CS. 

The high school grade point average (GPA) is often adjusted to account for nominal indicators of course rigor, such as “honors” or “advanced placement.” Adjusted GPAs—also known as weighted GPAs—are frequently used for computing students’ rank in class and in the college admission process. Despite the high stakes attached to GPA, weighting policies vary considerably across states and high schools. Previous methods of estimating weighting parameters have used regression models with college course performance as the dependent variable. We discuss and demonstrate the suitability of the graded response model for estimating GPA weighting parameters and evaluating traditional weighting schemes. In our sample, which was limited to self‐reported performance in high school mathematics courses, we found that commonly used policies award more than twice the bonus points necessary to create parity for standard and advanced courses.

 

Massive Online Open Courses (MOOCs) provide opportunities to learn a vast range of subjects. Because MOOCs are open to anyone with computer access and rarely have prerequisite requirements, the range of student backgrounds can be far more varied than in conventional classroom‐based courses. Prior studies have shown that misconceptions have a huge impact on students' learning performance; however, no study has empirically examined the relationship between misconceptions and learning persistence. This study of 12,913 MOOC‐takers examines how students' misconceptions about the upcoming course material affect course completion. Using a survival analysis approach, we found that, controlling for the score in a pre‐course test, students holding more misconceptions had a higher dropout rate at the start of the course, an effect that diminished over time. Other student variables were found to have a positive impact on survival that persisted throughout the entire course: U.S. location, higher age, an intention to complete, better English skills, prior familiarity with the subject, motivation to earn a certificate, and score and time spent on the previous problem set (homework). By contrast, student gender, education level, number of previous MOOCs completed, and motivation to participate in online discussion forums did not affect survival.

 

Massive open online course (MOOC) studies have shown that precourse skills (such as precomputational thinking) and course engagement measures (such as making multiple submission attempts with assignments when the initial submission is incorrect) predict students' grade performance, yet little is known about whether these factors predict students' course retention. In applying survival analysis to a sample of more than 20,000 participants from one popular computer science MOOC, we found that students' precomputational thinking skills and their perseverance in assignment submission strongly predict their persistence in the MOOC. Moreover, we discovered that precomputational thinking skills, programming experience, and gender, which were previously considered to be constant predictors of students' retention, have effects that attenuate over the course milestones. This finding suggests that MOOC educators should take a growth perspective towards students' persistence: As students overcome the initial hurdles, their resilience grows stronger.

 

Insufficient student interest in science, technology, engineering, and mathematics (STEM) careers has been identified as a pressing issue by educators and education policy makers. This retrospective cohort study examined one promising approach to reach and inspire students early on: college‐ and university‐ run high school STEM summer programs. Data were collected from 27 colleges and universities participating in the National Science Foundation's STEM Talent Expansion Program. We examined the impact of high school STEM summer program participation on end of high school career aspirations among a sample of 845 program participants and 15,002 controls. The study employed logistic regression modeling with propensity weighting to address differences in group characteristics to model the impact of programs. Results showed that students who participated in a program had 1.4 times the odds of wanting to pursue a STEM career, controlling for background characteristics. A closer look at program design revealed that students experiencing the real‐world relevance of STEM had 1.8 times the odds of aspiring to STEM careers at the end of high school compared with controls. Findings suggest that scaling up STEM summer programs and carefully designing programs to show the real‐life relevance of STEM may be an effective strategy to curtail pipeline attrition and to inspire more students to pursue STEM careers.

 

In this paper, we examine the relationship between participants’ childhood science, technology, engineering, and mathematics (STEM) related experiences, their STEM identity (i.e., seeing oneself as a STEM person), and their college career intentions. Whereas some evidence supports the importance of childhood (i.e., K‐4) informal STEM education experiences, like participating in science camps, existing research does not adequately address their relationship to STEM career intention later in life. Grounding our work in identity research, we tested the predictive power of STEM identity on career intention (N = 15,847). We found that for every one‐point higher on our STEM identity scale, participants’ odds of choosing a STEM career in college increased by 85%. We then tested whether a variety of childhood informal experiences predicted participants’ STEM identity. While controlling for home environment, gender, and other relevant factors, only talking with friends and family about science, and consuming science and science‐fiction media (i.e., books and television) were predictive of STEM identity in college.